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Gompertz function

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try to fit an inverse Gompertz function to data directly, especially if one only has relatively few data points available from which to calculate the fit. Instead one can fit the transposed relationship of the data to a forward Gompertz function, and then convert it to the equivalent inverse function using the relationship between the two given above.
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in 1819. The function was first presented in his June 16, 1825 paper at the bottom of page 518. The Gompertz function reduced a significant collection of data in life tables into a single function. It is based on the assumption that the mortality rate increases exponentially as a person ages. The
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between its two asymptotes, which are now vertical instead of horizontal like in the forward Gompertz function. Outside of the range defined by the vertical asymptotes, the inverse function requires computing the logarithm of negative numbers. For this and other reasons it is often impractical to
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Based on the above considerations, Wheldon proposed a mathematical model of tumor growth, called the Gomp-Ex model, that slightly modifies the Gompertz law. In the Gomp-Ex model it is assumed that initially there is no competition for resources, so that the cellular population expands following the
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The theoretical study by Fornalski et al. showed the biophysical basis of the Gompertz curve for cancer growth except very early phase where parabolic function is more appropriate. They found also that the Gompertz curve describes the most typical case among the broad family of the cancer dynamics’
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The differentiation between energy used at rest and metabolic rate work allows for the model to more precisely determine the rate of growth. The energy at rest is lower than the energy used to maintain a tissue, and together represent the energy required to maintain the existing tissue. The use of
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The metabolic function is particularly concerned with accounting for the rate of metabolism within an organism. This function can be applied to monitor tumor cells; metabolic rate is dynamic and is greatly flexible, making it more precise in detailing cancer growth. The metabolic curve takes in to
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In the 1960s A.K. Laird for the first time successfully used the Gompertz curve to fit data of growth of tumors. In fact, tumors are cellular populations growing in a confined space where the availability of nutrients is limited. Denoting the tumor size as X(t) it is useful to write the Gompertz
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As noticed by Steel and by Wheldon, the proliferation rate of the cellular population is ultimately bounded by the cell division time. Thus, this might be an evidence that the Gompertz equation is not good to model the growth of small tumors. Moreover, more recently it has been noticed that,
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is the instantaneous proliferation rate of the cellular population, whose decreasing nature is due to the competition for the nutrients due to the increase of the cellular population, similarly to the logistic growth rate. However, there is a fundamental difference: in the logistic case the
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and grow rapidly in numbers. Despite its popularity, the function initial rate of tumor growth is difficult to predetermine given the varying microcosms present with a patient, or varying environmental factors in the case of population biology. In cancer patients, factors such as age, diet,
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by a Gompertz function. Once the standards are thus fit to a Gompertz function, calculating the unknown concentration of samples in the assay from their measured optical density is achieved using the inverse of the Gompertz function that was produced when fitting the standard curve.
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Population biology is especially concerned with the Gompertz function. This function is especially useful in describing the rapid growth of a certain population of organisms while also being able to account for the eventual horizontal asymptote, once the
2660: 1814: 3528: 2201: 2786: 3644: 1390:, which is the most widely accepted convention of generally detailing a population's growth. Moreover, the function makes use of initial growth rate, which is commonly seen in populations of bacterial and cancer cells, which undergo the 357: 3130: 2539: 2081: 504: 944: 2867: 2324: 3199: 1271: 2876: 3410: 257: 2214: 1425: 699: 2551: 1925: 3869:"Deciphering death: a commentary of Gomperz (1825)'On the nature of the function expressive of the law of human mortality, and on a new mode of determining the value of life contingencies'" 1008: 3799: 2090: 786: 2695: 1073: 78:(1667–1754) in the 1750s. However, de Moivre assumed that the mortality rate was constant. An extension to Gompertz's work was proposed by the English actuary and mathematician 1412:
consideration the energy the body provides in maintaining and creating tissue. This energy can be considered as metabolism and follows a specific pattern in cellular division.
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these two factors, alongside the energy required to create new tissue, comprehensively map the rate of growth, and moreover, lead in to an accurate representation of the
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play a role in determining the tumor growth rate. The carrying capacity is also expected to change based on these factors, and so describing such phenomena is difficult.
3043: 2688: 3057: 1650: 3538: 3228: 3010: 609: 2455: 1997: 1951: 878: 1982: 722: 1682: 1611: 1582: 1354: 1325: 1849: 178: 147: 116: 55:. The function was originally designed to describe human mortality, but since has been modified to be applied in biology, with regard to detailing populations. 269: 2438:
including the interaction with immune system, Gompertz and other laws characterized by unbounded F(0) would preclude the possibility of immune surveillance.
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uptake, where costs were initially high (so uptake was slow), followed by a period of rapid growth, followed by a slowing of uptake as saturation was reached
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d'Onofrio A (2005). "A general framework for modeling tumor-immune system competition and immunotherapy: Mathematical analysis and biomedical inferences".
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independently on X(0)>0. Note that, in absence of therapies etc.. usually it is X(0) < K, whereas, in presence of therapies, it may be X(0) > K;
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of the function is approached much more gradually by the curve than the left-side or lower valued asymptote. This is in contrast to the
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can be explicitly expressed in traditional functional notation as a single continuous function. Given a Gompertz function of the form:
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share a similar growth pattern and this model, as a result, considers cellular division, the foundation of the development of a tumor.
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Caravelli F, Sindoni L, Caccioli F, Ududec C (August 2016). "Optimal growth trajectories with finite carrying capacity".
2428:{\displaystyle \lim _{X\rightarrow 0^{+}}F(X)=\lim _{X\rightarrow 0^{+}}\alpha \log \left({\frac {K}{X}}\right)=+\infty } 3045:. The assumption that there is no competition for resources holds true in most scenarios. It can however be affected by 4335: 791: 4447: 4417: 2969:{\displaystyle X(t)={\frac {K}{e}}=K\cdot \lim _{\nu \rightarrow +\infty }\left({\frac {\nu }{\nu +1}}\right)^{\nu }} 954: 43:
which describes growth as being slowest at the start and end of a given time period. The right-side or future value
2310:{\displaystyle F(X)=\alpha \left(1-\left({\frac {X}{K}}\right)^{\nu }\right)\Rightarrow F(0)=\alpha <+\infty } 1873:
is the carrying capacity, i.e. the maximum size that can be reached with the available nutrients. In fact it is:
1526:{\displaystyle B=\sum _{C}(N_{C}B_{C})+\left(E_{C}{\operatorname {d} \!N_{C} \over \operatorname {d} \!t}\right)} 82:(1826–1891) in 1860, who added a constant background mortality rate to Gompertz's exponentially increasing one. 1125:
the size of the English Knowledge can be modelled with Gompertz function and a modified function to some extent
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A second edition was issued in 1743; a third edition was issued in 1750; a fourth edition was issued in 1752.
2655:{\displaystyle X^{\prime }(t)=\alpha \nu \left(1-\left({\frac {X(t)}{K}}\right)^{\frac {1}{\nu }}\right)X(t)} 957:, which states the rate of absolute mortality (decay) falls exponentially with current size. Mathematically, 52: 4055:
Islam T, Fiebig DG, Meade N (2002). "Modelling multinational telecommunications demand with limited data".
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Population in a confined space, as birth rates first increase and then slow as resource limits are reached
4603: 4518:"Possible Source of the Gompertz Law of Proliferating Cancer Cells: Mechanistic Modeling of Tumor Growth" 1382:
This function consideration of the plateau cell number makes it useful in accurately mimicking real-life
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resulting Gompertz function is for the number of individuals living at a given age as a function of age.
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Earlier work on the construction of functional models of mortality was done by the French mathematician
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Graphs of Gompertz curves, showing the effect of varying one of a,b,c while keeping the others constant
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Montero-Camacho, Paulo; Li, Yin; Cranmer, Miles (2024). "Five parameters are all you need (in ΛCDM)".
1809:{\displaystyle X(t)=K\exp \left(\log \left({\frac {X(0)}{K}}\right)\exp \left(-\alpha t\right)\right)} 509: 3838: 3672: 3523:{\textstyle \lim _{t\to -\infty }a\mathrm {e} ^{-\mathrm {e} ^{b-ct}}+d=a\mathrm {e} ^{-\infty }+d=d} 3278: 3236: 382: 4142:
Sottoriva A, Verhoeff JJ, Borovski T, McWeeney SK, Naumov L, Medema JP, et al. (January 2010).
2196:{\displaystyle X^{\prime }(t)=F\left(X(t)\right)X(t),\quad {\mbox{with}}\quad F^{\prime }(X)\leq 0,} 4144:"Cancer stem cell tumor model reveals invasive morphology and increased phenotypical heterogeneity" 3843: 2781:{\displaystyle \lim _{\nu \rightarrow +\infty }\nu \left(1-x^{1/\nu }\right)=-\log \left(x\right)} 66:(1779–1865) was an actuary in London who was privately educated. He was elected a fellow of the 3015: 51:
in which both asymptotes are approached by the curve symmetrically. It is a special case of the
4608: 3639:{\textstyle \lim _{t\to \infty }a\mathrm {e} ^{-\mathrm {e} ^{b-ct}}+d=a\mathrm {e} ^{0}+d=a+d} 2667: 4025: 1992:
It can be shown that the dynamics of X(t) are governed by the Gompertz differential equation:
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can be used to model such growth, irrespective of differing masses and development times. All
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Detailing population growth in animals of prey, with regard to predator-prey relationships
571: 8: 4598: 1936: 1413: 1383: 850: 352:{\textstyle \lim _{t\to \infty }a\mathrm {e} ^{-b\mathrm {e} ^{-ct}}=a\mathrm {e} ^{0}=a} 4533: 4486: 4293: 4227: 4099: 1958: 704: 4498: 4472: 4385: 4360: 4312: 4279: 4267: 4247: 4213: 4184: 4001: 3976: 3939: 3893: 3868: 1660: 1589: 1560: 1332: 1303: 163: 132: 101: 28: 4118: 4083: 4068: 1825: 4561: 4443: 4413: 4390: 4317: 4239: 4165: 4123: 4006: 3943: 3898: 2796: 1141: 75: 63: 48: 36: 4502: 4251: 4108: 4564: 4537: 4490: 4380: 4372: 4307: 4297: 4231: 4155: 4113: 4103: 4064: 4037: 3996: 3988: 3929: 3888: 3880: 3848: 3333: 2792: 1856: 1653: 1538: 1387: 1361: 1281: 562: 40: 4160: 4143: 4302: 3820: 3046: 79: 4578: 4494: 3125:{\displaystyle F(X)=\max \left(a,\alpha \log \left({\frac {K}{X}}\right)\right)} 4542: 4517: 4235: 3816: 4041: 3992: 4592: 4081: 2534:{\displaystyle X^{\prime }(t)=\alpha \log \left({\frac {K}{X(t)}}\right)X(t)} 2076:{\displaystyle X^{\prime }(t)=\alpha \log \left({\frac {K}{X(t)}}\right)X(t)} 67: 1113:
Modelling market impact in finance and aggregated subnational loans dynamic.
4394: 4321: 4243: 4169: 4127: 4010: 3934: 3902: 3884: 1107: 1094: 499:{\textstyle f(t)=a\mathrm {e} ^{-b\mathrm {e} ^{-ct}}=ae^{-e^{-ct+\ln b}}} 3804: 1985: 32: 4516:
Fornalski KW, Reszczyńska J, Dobrzyński L, Wysocki P, Janiak MK (2020).
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Zwietering MH, Jongenburger I, Rombouts FM, van 't Riet K (June 1990).
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In this way the inverse function has many uses. For instance, certain
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The Gompertz function is a one-to-one correspondence (also known as an
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The inverse function only produces numerical values in the set of
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whereas in the Gompertz case the proliferation rate is unbounded:
939:{\displaystyle \max \left({\frac {df}{dt}}\right)={\frac {ac}{e}}} 4583: 4141: 4030:
The Assurance Magazine, and Journal of the Institute of Actuaries
4026:"On the law of mortality and the construction of annuity tables" 2862:{\displaystyle X(t)=\left({\frac {\nu }{\nu +1}}\right)^{\nu }K} 1953:
is a constant related to the proliferative ability of the cells.
3963:. London, England: Francis Fayram, Benj. Motte, and W. Pearson. 3316: 3194:{\displaystyle X_{C}=K\exp \left(-{\frac {a}{\alpha }}\right).} 4203: 1684:= energy required to create new tissue from an individual cell 3812: 3535:
is the distance from the base to the second asymptote, since
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exponential law. However, there is a critical size threshold
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proliferation rate for small cellular population is finite:
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Philosophical Transactions of the Royal Society of London B
3405:{\displaystyle f(t)=a\mathrm {e} ^{-\mathrm {e} ^{b-ct}}+d} 3922:
Philosophical Transactions of the Royal Society of London
252:{\displaystyle f(t)=a\mathrm {e} ^{-b\mathrm {e} ^{-ct}}} 4182: 3819:
whose concentrations can be fit extremely well to their
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the corresponding inverse function can be expressed as:
4559: 3049:, that requires the creation of sub-factors variables. 694:{\displaystyle t_{hwp}={\frac {\ln(b)-\ln(\ln(2))}{c}}} 3541: 3425: 3281: 3239: 2445: 2158: 1961: 1939: 1859: 1828: 1663: 1621: 1592: 1563: 1541: 1364: 1335: 1306: 1284: 1021: 853: 730: 707: 574: 400: 272: 3977:"Laws of Mortality from the Biological Point of View" 3691: 3344: 3209: 3142: 3060: 3018: 2991: 2879: 2807: 2698: 2670: 2554: 2458: 2327: 2217: 2093: 2000: 1879: 1711: 1428: 1155: 965: 886: 794: 617: 512: 197: 166: 135: 104: 2871:and one in the graph of the Gompertz function when 1920:{\displaystyle \lim _{t\rightarrow +\infty }X(t)=K} 1851:
is the tumor size at the starting observation time;
3793: 3655:-axis (translates the graph to the left or right). 3638: 3522: 3404: 3307: 3265: 3222: 3193: 3124: 3037: 3004: 2968: 2861: 2780: 2682: 2654: 2533: 2427: 2309: 2195: 2075: 1976: 1945: 1919: 1865: 1843: 1808: 1676: 1644: 1605: 1576: 1547: 1525: 1370: 1348: 1319: 1290: 1265: 1067: 1002: 938: 872: 839: 780: 716: 693: 603: 553: 498: 368:-axis (translates the graph to the left or right). 351: 251: 172: 141: 110: 1511: 1495: 4590: 4054: 3543: 3427: 3076: 2915: 2700: 2367: 2329: 1881: 1144:is determined (plateau cell/population number). 887: 274: 4265: 1090:Examples of uses for Gompertz curves include: 1003:{\displaystyle k^{r}\propto {\frac {1}{y(t)}}} 4579:https://archive.org/details/philtrans04942340 4462: 3794:{\displaystyle f^{-1}(t)={\frac {1}{c}}\left} 1119:Modelling bacterial cells within a population 3323: 3203:Here there are some numerical estimates for 4266:Rocha LS, Rocha FS, Souza TT (2017-10-05). 1652:= energy required to maintain the existing 4433: 4431: 4429: 2545:generalized logistic differential equation 781:{\textstyle {\frac {d^{2}}{dt^{2}}}f(t)=0} 4541: 4509: 4476: 4384: 4311: 4301: 4283: 4217: 4188: 4159: 4117: 4107: 4000: 3974: 3956: 3933: 3892: 953:The function curve can be derived from a 84: 4456: 4336:"Knowledge:Modelling Knowledge's growth" 4084:"Modeling of the bacterial growth curve" 3915: 3866: 3419:is the base horizontal asymptote, since 2979: 155: 124: 93: 4437: 4426: 4352: 4023: 1584:= number of cells in the given organism 701:The point of maximum rate of increase ( 4591: 4440:Mathematical Models in Cancer Research 4088:Applied and Environmental Microbiology 2085:i.e. is of the form when broken down: 1613:= metabolic rate of an individual cell 1356:is the plateau cell/population density 568:The halfway point is found by solving 4560: 4407: 4401: 4358: 3052:the growth follows the Gompertz Law: 1395:ethnicity, genetic pre-dispositions, 4057:International Journal of Forecasting 1068:{\textstyle r={\frac {y'(t)}{y(t)}}} 2450:The Gompertz differential equation 2446:Gompertz growth and logistic growth 1696: 1386:. The function also adheres to the 1378:is the initial rate of tumor growth 13: 3608: 3573: 3563: 3553: 3503: 3495: 3460: 3450: 3440: 3375: 3365: 2928: 2713: 2560: 2464: 2422: 2304: 2170: 2099: 2006: 1894: 1508: 1492: 1406: 434: 421: 333: 307: 294: 284: 231: 218: 14: 4620: 4553: 4024:Makeham, William Matthew (1860). 2690:is a positive real number) since 1134: 3651:sets the displacement along the 3308:{\textstyle X_{C}\approx 10^{6}} 3266:{\textstyle X_{C}\approx 10^{9}} 2795:in the graph of the generalized 840:{\displaystyle t_{max}=\ln(b)/c} 554:{\displaystyle f(t)=e^{-e^{-t}}} 364:sets the displacement along the 4328: 4259: 4197: 4109:10.1128/AEM.56.6.1875-1881.1990 2164: 2156: 1327:is the initial density of cells 1129: 1085: 4584:http://chemoth.com/tumorgrowth 4176: 4135: 4075: 4048: 4017: 3968: 3950: 3909: 3860: 3711: 3705: 3550: 3434: 3354: 3348: 3070: 3064: 2922: 2889: 2883: 2817: 2811: 2707: 2649: 2643: 2611: 2605: 2571: 2565: 2528: 2522: 2509: 2503: 2475: 2469: 2374: 2360: 2354: 2336: 2289: 2283: 2277: 2227: 2221: 2181: 2175: 2150: 2144: 2133: 2127: 2110: 2104: 2070: 2064: 2051: 2045: 2017: 2011: 1971: 1968: 1908: 1902: 1888: 1838: 1832: 1763: 1757: 1721: 1715: 1555:= energy organism uses at rest 1468: 1445: 1260: 1257: 1254: 1242: 1227: 1224: 1196: 1187: 1165: 1159: 1059: 1053: 1045: 1039: 994: 988: 826: 820: 769: 763: 682: 679: 673: 664: 652: 646: 584: 578: 522: 516: 410: 404: 281: 207: 201: 1: 4161:10.1158/0008-5472.CAN-09-3663 4069:10.1016/S0169-2070(02)00073-0 3854: 1103:Modelling of growth of tumors 948: 389: 53:generalised logistic function 4303:10.1371/journal.pone.0185257 2543:is the limiting case of the 7: 4495:10.1016/j.physd.2005.06.032 4412:. Oxford: Clarendon Press. 4359:Laird AK (September 1964). 3957:de Moivre, Abraham (1725). 3916:Gompertz, Benjamin (1825). 3827: 16:Asymmetric sigmoid function 10: 4625: 4543:10.12693/APhysPolA.138.854 4361:"Dynamics of Tumor Growth" 4236:10.1103/PhysRevE.94.022315 3038:{\displaystyle X>X_{C}} 1399:, lifestyle and origin of 1147:It is modeled as follows: 187: 58: 4410:Growth Kinetics of Tumors 4365:British Journal of Cancer 4042:10.1017/S204616580000126X 3993:10.1017/S002217240000961X 3324:Inverse Gompertz function 2791:In addition, there is an 2683:{\displaystyle \nu >0} 1081:is an arbitrary constant. 955:Gompertz law of mortality 4442:. Bristol: Adam Hilger. 3844:Von Bertalanffy function 1122:Examining disease spread 49:simple logistic function 4522:Acta Physica Polonica A 1645:{\textstyle N_{C}B_{C}} 266:is an asymptote, since 80:William Matthew Makeham 3975:Greenwood, M. (1928). 3960:Annuities upon Lives … 3935:10.1098/rstl.1825.0026 3885:10.1098/rstb.2014.0379 3867:Kirkwood, TBL (2015). 3795: 3661:sets the growth rate ( 3640: 3524: 3406: 3309: 3267: 3224: 3195: 3126: 3039: 3006: 2970: 2863: 2782: 2684: 2656: 2535: 2429: 2311: 2197: 2077: 1978: 1947: 1921: 1867: 1845: 1810: 1678: 1646: 1607: 1578: 1549: 1527: 1372: 1350: 1321: 1292: 1267: 1069: 1004: 940: 874: 841: 782: 724:) is found by solving 718: 695: 605: 555: 506:has the same shape as 500: 374:sets the growth rate ( 353: 253: 180: 174: 149: 143: 118: 112: 3834:Gompertz distribution 3796: 3641: 3525: 3407: 3310: 3268: 3225: 3223:{\displaystyle X_{C}} 3196: 3127: 3040: 3007: 3005:{\displaystyle X_{C}} 2980:Gomp-ex law of growth 2971: 2864: 2783: 2685: 2657: 2536: 2430: 2312: 2198: 2078: 1979: 1948: 1922: 1868: 1846: 1811: 1679: 1647: 1608: 1579: 1550: 1528: 1373: 1351: 1322: 1293: 1268: 1075:is the rate of growth 1070: 1005: 941: 875: 842: 783: 719: 696: 606: 604:{\textstyle f(t)=a/2} 556: 501: 354: 254: 175: 159: 144: 128: 113: 97: 39:(1779–1865). It is a 3689: 3539: 3423: 3342: 3279: 3237: 3207: 3140: 3058: 3016: 2989: 2877: 2805: 2696: 2668: 2552: 2456: 2325: 2215: 2091: 1998: 1959: 1946:{\textstyle \alpha } 1937: 1877: 1857: 1826: 1709: 1661: 1619: 1590: 1561: 1539: 1426: 1362: 1333: 1304: 1282: 1153: 1019: 963: 884: 873:{\textstyle t_{max}} 851: 792: 728: 705: 615: 572: 510: 398: 270: 195: 164: 133: 102: 4534:2020AcPPA.138..854F 4487:2005PhyD..208..220D 4438:Wheldon TE (1988). 4377:10.1038/bjc.1964.55 4294:2017PLoSO..1285257R 4228:2016PhRvE..94b2315C 4100:1990ApEnM..56.1875Z 1977:{\textstyle \log()} 1414:Energy conservation 1384:population dynamics 1108:cosmic reionization 717:{\textstyle 0.368a} 89: 4604:Time series models 4562:Weisstein, Eric W. 3981:Journal of Hygiene 3791: 3636: 3557: 3520: 3444: 3402: 3330:Bijective function 3305: 3263: 3220: 3191: 3122: 3035: 3002: 2966: 2932: 2859: 2778: 2717: 2680: 2652: 2531: 2425: 2388: 2350: 2307: 2193: 2162: 2073: 1974: 1943: 1917: 1898: 1863: 1841: 1806: 1702:Curve as follows: 1677:{\textstyle E_{C}} 1674: 1642: 1606:{\textstyle B_{C}} 1603: 1577:{\textstyle N_{C}} 1574: 1545: 1523: 1444: 1368: 1349:{\textstyle N_{I}} 1346: 1320:{\textstyle N_{0}} 1317: 1288: 1263: 1065: 1000: 936: 870: 837: 778: 714: 691: 601: 551: 496: 349: 288: 249: 181: 170: 150: 139: 119: 108: 85: 29:mathematical model 4408:Steel GG (1977). 4206:Physical Review E 3775: 3725: 3542: 3426: 3181: 3111: 2954: 2914: 2903: 2844: 2797:logistic function 2699: 2632: 2618: 2513: 2410: 2366: 2328: 2260: 2161: 2055: 1880: 1844:{\textstyle X(0)} 1770: 1516: 1435: 1142:carrying capacity 1063: 998: 934: 912: 758: 689: 273: 185: 184: 173:{\displaystyle c} 142:{\displaystyle b} 111:{\displaystyle a} 76:Abraham de Moivre 64:Benjamin Gompertz 37:Benjamin Gompertz 25:Gompertz function 4616: 4575: 4574: 4565:"Gompertz Curve" 4548: 4547: 4545: 4513: 4507: 4506: 4480: 4471:(3–4): 220–235. 4460: 4454: 4453: 4435: 4424: 4423: 4405: 4399: 4398: 4388: 4356: 4350: 4349: 4348: 4347: 4332: 4326: 4325: 4315: 4305: 4287: 4278:(10): e0185257. 4263: 4257: 4255: 4221: 4201: 4195: 4194: 4192: 4180: 4174: 4173: 4163: 4139: 4133: 4131: 4121: 4111: 4079: 4073: 4072: 4052: 4046: 4045: 4021: 4015: 4014: 4004: 3972: 3966: 3964: 3954: 3948: 3947: 3937: 3913: 3907: 3906: 3896: 3864: 3849:Sigmoid function 3800: 3798: 3797: 3792: 3790: 3786: 3785: 3781: 3780: 3776: 3774: 3760: 3726: 3718: 3704: 3703: 3645: 3643: 3642: 3637: 3617: 3616: 3611: 3593: 3592: 3591: 3590: 3576: 3566: 3556: 3529: 3527: 3526: 3521: 3507: 3506: 3498: 3480: 3479: 3478: 3477: 3463: 3453: 3443: 3411: 3409: 3408: 3403: 3395: 3394: 3393: 3392: 3378: 3368: 3334:inverse function 3314: 3312: 3311: 3306: 3304: 3303: 3291: 3290: 3273:for human tumors 3272: 3270: 3269: 3264: 3262: 3261: 3249: 3248: 3229: 3227: 3226: 3221: 3219: 3218: 3200: 3198: 3197: 3192: 3187: 3183: 3182: 3174: 3152: 3151: 3131: 3129: 3128: 3123: 3121: 3117: 3116: 3112: 3104: 3047:limiting factors 3044: 3042: 3041: 3036: 3034: 3033: 3011: 3009: 3008: 3003: 3001: 3000: 2975: 2973: 2972: 2967: 2965: 2964: 2959: 2955: 2953: 2939: 2931: 2904: 2896: 2868: 2866: 2865: 2860: 2855: 2854: 2849: 2845: 2843: 2829: 2793:inflection point 2787: 2785: 2784: 2779: 2777: 2754: 2750: 2749: 2748: 2744: 2716: 2689: 2687: 2686: 2681: 2661: 2659: 2658: 2653: 2639: 2635: 2634: 2633: 2625: 2623: 2619: 2614: 2600: 2564: 2563: 2540: 2538: 2537: 2532: 2518: 2514: 2512: 2495: 2468: 2467: 2434: 2432: 2431: 2426: 2415: 2411: 2403: 2387: 2386: 2385: 2349: 2348: 2347: 2316: 2314: 2313: 2308: 2276: 2272: 2271: 2270: 2265: 2261: 2253: 2202: 2200: 2199: 2194: 2174: 2173: 2163: 2159: 2140: 2136: 2103: 2102: 2082: 2080: 2079: 2074: 2060: 2056: 2054: 2037: 2010: 2009: 1983: 1981: 1980: 1975: 1952: 1950: 1949: 1944: 1926: 1924: 1923: 1918: 1897: 1872: 1870: 1869: 1864: 1850: 1848: 1847: 1842: 1815: 1813: 1812: 1807: 1805: 1801: 1800: 1796: 1775: 1771: 1766: 1752: 1697:Growth of tumors 1683: 1681: 1680: 1675: 1673: 1672: 1651: 1649: 1648: 1643: 1641: 1640: 1631: 1630: 1612: 1610: 1609: 1604: 1602: 1601: 1583: 1581: 1580: 1575: 1573: 1572: 1554: 1552: 1551: 1546: 1532: 1530: 1529: 1524: 1522: 1518: 1517: 1515: 1506: 1505: 1504: 1490: 1488: 1487: 1467: 1466: 1457: 1456: 1443: 1388:sigmoid function 1377: 1375: 1374: 1369: 1355: 1353: 1352: 1347: 1345: 1344: 1326: 1324: 1323: 1318: 1316: 1315: 1297: 1295: 1294: 1289: 1272: 1270: 1269: 1264: 1223: 1222: 1213: 1208: 1207: 1180: 1179: 1074: 1072: 1071: 1066: 1064: 1062: 1048: 1038: 1029: 1009: 1007: 1006: 1001: 999: 997: 980: 975: 974: 945: 943: 942: 937: 935: 930: 922: 917: 913: 911: 903: 895: 879: 877: 876: 871: 869: 868: 847:The increase at 846: 844: 843: 838: 833: 810: 809: 787: 785: 784: 779: 759: 757: 756: 755: 742: 741: 732: 723: 721: 720: 715: 700: 698: 697: 692: 690: 685: 638: 633: 632: 610: 608: 607: 602: 597: 563:affine transform 560: 558: 557: 552: 550: 549: 548: 547: 505: 503: 502: 497: 495: 494: 493: 492: 451: 450: 449: 448: 437: 424: 385:(e = 2.71828...) 358: 356: 355: 350: 342: 341: 336: 324: 323: 322: 321: 310: 297: 287: 258: 256: 255: 250: 248: 247: 246: 245: 234: 221: 179: 177: 176: 171: 148: 146: 145: 140: 117: 115: 114: 109: 90: 41:sigmoid function 4624: 4623: 4619: 4618: 4617: 4615: 4614: 4613: 4589: 4588: 4556: 4551: 4514: 4510: 4461: 4457: 4450: 4436: 4427: 4420: 4406: 4402: 4357: 4353: 4345: 4343: 4334: 4333: 4329: 4264: 4260: 4212:(2–1): 022315. 4202: 4198: 4181: 4177: 4148:Cancer Research 4140: 4136: 4080: 4076: 4053: 4049: 4022: 4018: 3973: 3969: 3955: 3951: 3914: 3910: 3865: 3861: 3857: 3830: 3821:optical density 3764: 3759: 3755: 3748: 3744: 3731: 3727: 3717: 3696: 3692: 3690: 3687: 3686: 3612: 3607: 3606: 3577: 3572: 3571: 3567: 3562: 3561: 3546: 3540: 3537: 3536: 3499: 3494: 3493: 3464: 3459: 3458: 3454: 3449: 3448: 3430: 3424: 3421: 3420: 3379: 3374: 3373: 3369: 3364: 3363: 3343: 3340: 3339: 3326: 3299: 3295: 3286: 3282: 3280: 3277: 3276: 3257: 3253: 3244: 3240: 3238: 3235: 3234: 3214: 3210: 3208: 3205: 3204: 3173: 3169: 3165: 3147: 3143: 3141: 3138: 3137: 3103: 3099: 3083: 3079: 3059: 3056: 3055: 3029: 3025: 3017: 3014: 3013: 2996: 2992: 2990: 2987: 2986: 2982: 2960: 2943: 2938: 2934: 2933: 2918: 2895: 2878: 2875: 2874: 2850: 2833: 2828: 2824: 2823: 2806: 2803: 2802: 2767: 2740: 2736: 2732: 2725: 2721: 2703: 2697: 2694: 2693: 2669: 2666: 2665: 2624: 2601: 2599: 2595: 2594: 2587: 2583: 2559: 2555: 2553: 2550: 2549: 2499: 2494: 2490: 2463: 2459: 2457: 2454: 2453: 2448: 2402: 2398: 2381: 2377: 2370: 2343: 2339: 2332: 2326: 2323: 2322: 2266: 2252: 2248: 2247: 2240: 2236: 2216: 2213: 2212: 2169: 2165: 2157: 2123: 2119: 2098: 2094: 2092: 2089: 2088: 2041: 2036: 2032: 2005: 2001: 1999: 1996: 1995: 1960: 1957: 1956: 1938: 1935: 1934: 1884: 1878: 1875: 1874: 1858: 1855: 1854: 1827: 1824: 1823: 1786: 1782: 1753: 1751: 1747: 1740: 1736: 1710: 1707: 1706: 1699: 1668: 1664: 1662: 1659: 1658: 1636: 1632: 1626: 1622: 1620: 1617: 1616: 1597: 1593: 1591: 1588: 1587: 1568: 1564: 1562: 1559: 1558: 1540: 1537: 1536: 1507: 1500: 1496: 1491: 1489: 1483: 1479: 1478: 1474: 1462: 1458: 1452: 1448: 1439: 1427: 1424: 1423: 1409: 1407:Metabolic curve 1363: 1360: 1359: 1340: 1336: 1334: 1331: 1330: 1311: 1307: 1305: 1302: 1301: 1283: 1280: 1279: 1218: 1214: 1209: 1203: 1199: 1175: 1171: 1154: 1151: 1150: 1137: 1132: 1088: 1049: 1031: 1030: 1028: 1020: 1017: 1016: 984: 979: 970: 966: 964: 961: 960: 951: 923: 921: 904: 896: 894: 890: 885: 882: 881: 858: 854: 852: 849: 848: 829: 799: 795: 793: 790: 789: 751: 747: 743: 737: 733: 731: 729: 726: 725: 706: 703: 702: 639: 637: 622: 618: 616: 613: 612: 593: 573: 570: 569: 540: 536: 532: 528: 511: 508: 507: 470: 466: 462: 458: 438: 433: 432: 425: 420: 419: 399: 396: 395: 392: 337: 332: 331: 311: 306: 305: 298: 293: 292: 277: 271: 268: 267: 235: 230: 229: 222: 217: 216: 196: 193: 192: 190: 165: 162: 161: 134: 131: 130: 103: 100: 99: 61: 17: 12: 11: 5: 4622: 4612: 4611: 4606: 4601: 4587: 4586: 4581: 4576: 4555: 4554:External links 4552: 4550: 4549: 4528:(6): 854–862. 4508: 4455: 4448: 4425: 4418: 4400: 4371:(3): 490–502. 4351: 4327: 4258: 4196: 4175: 4134: 4094:(6): 1875–81. 4074: 4063:(4): 605–624. 4047: 4036:(6): 301–310. 4016: 3987:(3): 267–294. 3967: 3949: 3908: 3858: 3856: 3853: 3852: 3851: 3846: 3841: 3836: 3829: 3826: 3817:standard curve 3789: 3784: 3779: 3773: 3770: 3767: 3763: 3758: 3754: 3751: 3747: 3743: 3740: 3737: 3734: 3730: 3724: 3721: 3716: 3713: 3710: 3707: 3702: 3699: 3695: 3681: 3680: 3673:Euler's Number 3666: 3656: 3646: 3635: 3632: 3629: 3626: 3623: 3620: 3615: 3610: 3605: 3602: 3599: 3596: 3589: 3586: 3583: 3580: 3575: 3570: 3565: 3560: 3555: 3552: 3549: 3545: 3530: 3519: 3516: 3513: 3510: 3505: 3502: 3497: 3492: 3489: 3486: 3483: 3476: 3473: 3470: 3467: 3462: 3457: 3452: 3447: 3442: 3439: 3436: 3433: 3429: 3401: 3398: 3391: 3388: 3385: 3382: 3377: 3372: 3367: 3362: 3359: 3356: 3353: 3350: 3347: 3325: 3322: 3321: 3320: 3319:(mouse) tumors 3302: 3298: 3294: 3289: 3285: 3274: 3260: 3256: 3252: 3247: 3243: 3217: 3213: 3190: 3186: 3180: 3177: 3172: 3168: 3164: 3161: 3158: 3155: 3150: 3146: 3120: 3115: 3110: 3107: 3102: 3098: 3095: 3092: 3089: 3086: 3082: 3078: 3075: 3072: 3069: 3066: 3063: 3032: 3028: 3024: 3021: 3012:such that for 2999: 2995: 2981: 2978: 2963: 2958: 2952: 2949: 2946: 2942: 2937: 2930: 2927: 2924: 2921: 2917: 2913: 2910: 2907: 2902: 2899: 2894: 2891: 2888: 2885: 2882: 2858: 2853: 2848: 2842: 2839: 2836: 2832: 2827: 2822: 2819: 2816: 2813: 2810: 2776: 2773: 2770: 2766: 2763: 2760: 2757: 2753: 2747: 2743: 2739: 2735: 2731: 2728: 2724: 2720: 2715: 2712: 2709: 2706: 2702: 2679: 2676: 2673: 2651: 2648: 2645: 2642: 2638: 2631: 2628: 2622: 2617: 2613: 2610: 2607: 2604: 2598: 2593: 2590: 2586: 2582: 2579: 2576: 2573: 2570: 2567: 2562: 2558: 2530: 2527: 2524: 2521: 2517: 2511: 2508: 2505: 2502: 2498: 2493: 2489: 2486: 2483: 2480: 2477: 2474: 2471: 2466: 2462: 2447: 2444: 2424: 2421: 2418: 2414: 2409: 2406: 2401: 2397: 2394: 2391: 2384: 2380: 2376: 2373: 2369: 2365: 2362: 2359: 2356: 2353: 2346: 2342: 2338: 2335: 2331: 2306: 2303: 2300: 2297: 2294: 2291: 2288: 2285: 2282: 2279: 2275: 2269: 2264: 2259: 2256: 2251: 2246: 2243: 2239: 2235: 2232: 2229: 2226: 2223: 2220: 2192: 2189: 2186: 2183: 2180: 2177: 2172: 2168: 2155: 2152: 2149: 2146: 2143: 2139: 2135: 2132: 2129: 2126: 2122: 2118: 2115: 2112: 2109: 2106: 2101: 2097: 2072: 2069: 2066: 2063: 2059: 2053: 2050: 2047: 2044: 2040: 2035: 2031: 2028: 2025: 2022: 2019: 2016: 2013: 2008: 2004: 1990: 1989: 1984:refers to the 1973: 1970: 1967: 1964: 1954: 1942: 1928: 1927: 1916: 1913: 1910: 1907: 1904: 1901: 1896: 1893: 1890: 1887: 1883: 1866:{\textstyle K} 1862: 1852: 1840: 1837: 1834: 1831: 1817: 1816: 1804: 1799: 1795: 1792: 1789: 1785: 1781: 1778: 1774: 1769: 1765: 1762: 1759: 1756: 1750: 1746: 1743: 1739: 1735: 1732: 1729: 1726: 1723: 1720: 1717: 1714: 1698: 1695: 1686: 1685: 1671: 1667: 1656: 1639: 1635: 1629: 1625: 1614: 1600: 1596: 1585: 1571: 1567: 1556: 1548:{\textstyle B} 1544: 1521: 1514: 1510: 1503: 1499: 1494: 1486: 1482: 1477: 1473: 1470: 1465: 1461: 1455: 1451: 1447: 1442: 1438: 1434: 1431: 1408: 1405: 1380: 1379: 1371:{\textstyle b} 1367: 1357: 1343: 1339: 1328: 1314: 1310: 1299: 1291:{\textstyle t} 1287: 1262: 1259: 1256: 1253: 1250: 1247: 1244: 1241: 1238: 1235: 1232: 1229: 1226: 1221: 1217: 1212: 1206: 1202: 1198: 1195: 1192: 1189: 1186: 1183: 1178: 1174: 1170: 1167: 1164: 1161: 1158: 1136: 1135:Gompertz curve 1133: 1131: 1128: 1127: 1126: 1123: 1120: 1117: 1114: 1111: 1104: 1101: 1098: 1087: 1084: 1083: 1082: 1076: 1061: 1058: 1055: 1052: 1047: 1044: 1041: 1037: 1034: 1027: 1024: 996: 993: 990: 987: 983: 978: 973: 969: 950: 947: 933: 929: 926: 920: 916: 910: 907: 902: 899: 893: 889: 867: 864: 861: 857: 836: 832: 828: 825: 822: 819: 816: 813: 808: 805: 802: 798: 777: 774: 771: 768: 765: 762: 754: 750: 746: 740: 736: 713: 710: 688: 684: 681: 678: 675: 672: 669: 666: 663: 660: 657: 654: 651: 648: 645: 642: 636: 631: 628: 625: 621: 600: 596: 592: 589: 586: 583: 580: 577: 546: 543: 539: 535: 531: 527: 524: 521: 518: 515: 491: 488: 485: 482: 479: 476: 473: 469: 465: 461: 457: 454: 447: 444: 441: 436: 431: 428: 423: 418: 415: 412: 409: 406: 403: 391: 388: 387: 386: 383:Euler's Number 379: 369: 359: 348: 345: 340: 335: 330: 327: 320: 317: 314: 309: 304: 301: 296: 291: 286: 283: 280: 276: 244: 241: 238: 233: 228: 225: 220: 215: 212: 209: 206: 203: 200: 189: 186: 183: 182: 169: 152: 151: 138: 121: 120: 107: 60: 57: 35:, named after 21:Gompertz curve 15: 9: 6: 4: 3: 2: 4621: 4610: 4609:Growth curves 4607: 4605: 4602: 4600: 4597: 4596: 4594: 4585: 4582: 4580: 4577: 4572: 4571: 4566: 4563: 4558: 4557: 4544: 4539: 4535: 4531: 4527: 4523: 4519: 4512: 4504: 4500: 4496: 4492: 4488: 4484: 4479: 4474: 4470: 4466: 4459: 4451: 4449:0-85274-291-6 4445: 4441: 4434: 4432: 4430: 4421: 4419:0-19-857388-X 4415: 4411: 4404: 4396: 4392: 4387: 4382: 4378: 4374: 4370: 4366: 4362: 4355: 4341: 4337: 4331: 4323: 4319: 4314: 4309: 4304: 4299: 4295: 4291: 4286: 4281: 4277: 4273: 4269: 4262: 4253: 4249: 4245: 4241: 4237: 4233: 4229: 4225: 4220: 4215: 4211: 4207: 4200: 4191: 4186: 4179: 4171: 4167: 4162: 4157: 4153: 4149: 4145: 4138: 4129: 4125: 4120: 4115: 4110: 4105: 4101: 4097: 4093: 4089: 4085: 4078: 4070: 4066: 4062: 4058: 4051: 4043: 4039: 4035: 4031: 4027: 4020: 4012: 4008: 4003: 3998: 3994: 3990: 3986: 3982: 3978: 3971: 3962: 3961: 3953: 3945: 3941: 3936: 3931: 3927: 3923: 3919: 3912: 3904: 3900: 3895: 3890: 3886: 3882: 3878: 3874: 3870: 3863: 3859: 3850: 3847: 3845: 3842: 3840: 3837: 3835: 3832: 3831: 3825: 3822: 3818: 3814: 3809: 3806: 3801: 3787: 3782: 3777: 3771: 3768: 3765: 3761: 3756: 3752: 3749: 3745: 3741: 3738: 3735: 3732: 3728: 3722: 3719: 3714: 3708: 3700: 3697: 3693: 3684: 3679:= 2.71828...) 3678: 3674: 3670: 3667: 3664: 3660: 3657: 3654: 3650: 3647: 3633: 3630: 3627: 3624: 3621: 3618: 3613: 3603: 3600: 3597: 3594: 3587: 3584: 3581: 3578: 3568: 3558: 3547: 3534: 3531: 3517: 3514: 3511: 3508: 3500: 3490: 3487: 3484: 3481: 3474: 3471: 3468: 3465: 3455: 3445: 3437: 3431: 3418: 3415: 3414: 3413: 3399: 3396: 3389: 3386: 3383: 3380: 3370: 3360: 3357: 3351: 3345: 3337: 3335: 3332:) and so its 3331: 3318: 3300: 3296: 3292: 3287: 3283: 3275: 3258: 3254: 3250: 3245: 3241: 3233: 3232: 3231: 3215: 3211: 3201: 3188: 3184: 3178: 3175: 3170: 3166: 3162: 3159: 3156: 3153: 3148: 3144: 3135: 3132: 3118: 3113: 3108: 3105: 3100: 3096: 3093: 3090: 3087: 3084: 3080: 3073: 3067: 3061: 3053: 3050: 3048: 3030: 3026: 3022: 3019: 2997: 2993: 2977: 2961: 2956: 2950: 2947: 2944: 2940: 2935: 2925: 2919: 2911: 2908: 2905: 2900: 2897: 2892: 2886: 2880: 2872: 2869: 2856: 2851: 2846: 2840: 2837: 2834: 2830: 2825: 2820: 2814: 2808: 2800: 2798: 2794: 2789: 2774: 2771: 2768: 2764: 2761: 2758: 2755: 2751: 2745: 2741: 2737: 2733: 2729: 2726: 2722: 2718: 2710: 2704: 2691: 2677: 2674: 2671: 2662: 2646: 2640: 2636: 2629: 2626: 2620: 2615: 2608: 2602: 2596: 2591: 2588: 2584: 2580: 2577: 2574: 2568: 2556: 2547: 2546: 2541: 2525: 2519: 2515: 2506: 2500: 2496: 2491: 2487: 2484: 2481: 2478: 2472: 2460: 2451: 2443: 2439: 2435: 2419: 2416: 2412: 2407: 2404: 2399: 2395: 2392: 2389: 2382: 2378: 2371: 2363: 2357: 2351: 2344: 2340: 2333: 2320: 2317: 2301: 2298: 2295: 2292: 2286: 2280: 2273: 2267: 2262: 2257: 2254: 2249: 2244: 2241: 2237: 2233: 2230: 2224: 2218: 2210: 2207: 2203: 2190: 2187: 2184: 2178: 2166: 2153: 2147: 2141: 2137: 2130: 2124: 2120: 2116: 2113: 2107: 2095: 2086: 2083: 2067: 2061: 2057: 2048: 2042: 2038: 2033: 2029: 2026: 2023: 2020: 2014: 2002: 1993: 1987: 1965: 1962: 1955: 1940: 1933: 1932: 1931: 1914: 1911: 1905: 1899: 1891: 1885: 1860: 1853: 1835: 1829: 1822: 1821: 1820: 1802: 1797: 1793: 1790: 1787: 1783: 1779: 1776: 1772: 1767: 1760: 1754: 1748: 1744: 1741: 1737: 1733: 1730: 1727: 1724: 1718: 1712: 1705: 1704: 1703: 1694: 1692: 1669: 1665: 1657: 1655: 1637: 1633: 1627: 1623: 1615: 1598: 1594: 1586: 1569: 1565: 1557: 1542: 1535: 1534: 1533: 1519: 1512: 1501: 1497: 1484: 1480: 1475: 1471: 1463: 1459: 1453: 1449: 1440: 1436: 1432: 1429: 1421: 1419: 1415: 1404: 1402: 1398: 1393: 1389: 1385: 1365: 1358: 1341: 1337: 1329: 1312: 1308: 1300: 1285: 1278: 1277: 1276: 1273: 1251: 1248: 1245: 1239: 1236: 1233: 1230: 1219: 1215: 1210: 1204: 1200: 1193: 1190: 1184: 1181: 1176: 1172: 1168: 1162: 1156: 1148: 1145: 1143: 1124: 1121: 1118: 1115: 1112: 1109: 1106:Modelling of 1105: 1102: 1099: 1096: 1093: 1092: 1091: 1080: 1077: 1056: 1050: 1042: 1035: 1032: 1025: 1022: 1015: 1014: 1013: 1010: 991: 985: 981: 976: 971: 967: 958: 956: 946: 931: 927: 924: 918: 914: 908: 905: 900: 897: 891: 865: 862: 859: 855: 834: 830: 823: 817: 814: 811: 806: 803: 800: 796: 775: 772: 766: 760: 752: 748: 744: 738: 734: 711: 708: 686: 676: 670: 667: 661: 658: 655: 649: 643: 640: 634: 629: 626: 623: 619: 598: 594: 590: 587: 581: 575: 566: 564: 544: 541: 537: 533: 529: 525: 519: 513: 489: 486: 483: 480: 477: 474: 471: 467: 463: 459: 455: 452: 445: 442: 439: 429: 426: 416: 413: 407: 401: 384: 380: 377: 373: 370: 367: 363: 360: 346: 343: 338: 328: 325: 318: 315: 312: 302: 299: 289: 278: 265: 262: 261: 260: 242: 239: 236: 226: 223: 213: 210: 204: 198: 167: 158: 154: 153: 136: 127: 123: 122: 105: 96: 92: 91: 88: 83: 81: 77: 72: 69: 68:Royal Society 65: 56: 54: 50: 46: 42: 38: 34: 30: 27:is a type of 26: 22: 4568: 4525: 4521: 4511: 4468: 4464: 4458: 4439: 4409: 4403: 4368: 4364: 4354: 4344:, retrieved 4342:, 2023-03-18 4339: 4330: 4275: 4271: 4261: 4209: 4205: 4199: 4178: 4154:(1): 46–56. 4151: 4147: 4137: 4091: 4087: 4077: 4060: 4056: 4050: 4033: 4029: 4019: 3984: 3980: 3970: 3959: 3952: 3925: 3921: 3911: 3876: 3872: 3862: 3839:Growth curve 3813:ELISA assays 3810: 3805:real numbers 3802: 3685: 3682: 3676: 3668: 3662: 3658: 3652: 3648: 3532: 3416: 3338: 3327: 3202: 3136: 3133: 3054: 3051: 2983: 2873: 2870: 2801: 2790: 2692: 2663: 2548: 2542: 2452: 2449: 2440: 2436: 2321: 2318: 2211: 2205: 2204: 2087: 2084: 1994: 1991: 1929: 1818: 1700: 1687: 1422: 1410: 1381: 1274: 1149: 1146: 1138: 1130:Applications 1095:Mobile phone 1089: 1086:Example uses 1078: 1011: 959: 952: 567: 393: 375: 371: 365: 361: 263: 191: 86: 73: 62: 24: 20: 18: 3928:: 513–585. 2442:functions. 1986:natural log 1110:of hydrogen 33:time series 4599:Demography 4593:Categories 4346:2023-03-23 4285:1604.07782 4219:1510.05123 4190:2405.13680 3855:References 1401:metastasis 1397:metabolism 949:Derivation 394:The curve 390:Properties 4570:MathWorld 4478:1309.3337 4465:Physica D 4340:Knowledge 3944:145157003 3769:− 3753:⁡ 3742:⁡ 3736:− 3698:− 3582:− 3569:− 3554:∞ 3551:→ 3504:∞ 3501:− 3469:− 3456:− 3441:∞ 3438:− 3435:→ 3384:− 3371:− 3293:≈ 3251:≈ 3179:α 3171:− 3163:⁡ 3134:so that: 3097:⁡ 3091:α 2962:ν 2945:ν 2941:ν 2929:∞ 2923:→ 2920:ν 2912:⋅ 2852:ν 2835:ν 2831:ν 2765:⁡ 2759:− 2746:ν 2730:− 2719:ν 2714:∞ 2708:→ 2705:ν 2672:ν 2630:ν 2592:− 2581:ν 2578:α 2561:′ 2488:⁡ 2482:α 2465:′ 2423:∞ 2396:⁡ 2390:α 2375:→ 2337:→ 2305:∞ 2296:α 2278:⇒ 2268:ν 2245:− 2234:α 2185:≤ 2171:′ 2100:′ 2030:⁡ 2024:α 2007:′ 1966:⁡ 1941:α 1895:∞ 1889:→ 1791:α 1788:− 1780:⁡ 1745:⁡ 1734:⁡ 1691:lag phase 1437:∑ 1392:log phase 1246:− 1240:⁡ 1234:− 1194:⁡ 1185:⁡ 977:∝ 818:⁡ 671:⁡ 662:⁡ 656:− 644:⁡ 561:after an 542:− 534:− 487:⁡ 472:− 464:− 440:− 427:− 313:− 300:− 285:∞ 282:→ 237:− 224:− 45:asymptote 4503:15031322 4395:14219541 4322:28981532 4272:PLOS ONE 4252:35578084 4244:27627325 4170:20048071 4128:16348228 4011:20475000 3903:25750242 3879:(1666). 3828:See also 3665:scaling) 1036:′ 378:scaling) 160:Varying 129:Varying 98:Varying 4530:Bibcode 4483:Bibcode 4386:2071101 4313:5628819 4290:Bibcode 4224:Bibcode 4096:Bibcode 4002:2167778 3894:4360127 3815:have a 2664:(where 1819:where: 1298:is time 1275:where: 788:for t. 611:for t. 188:Formula 59:History 4501:  4446:  4416:  4393:  4383:  4320:  4310:  4250:  4242:  4168:  4126:  4119:184525 4116:  4009:  3999:  3942:  3901:  3891:  3412:where 3317:murine 1654:tissue 1012:where 259:where 31:for a 4499:S2CID 4473:arXiv 4280:arXiv 4248:S2CID 4214:arXiv 4185:arXiv 3940:S2CID 2799:when 709:0.368 381:e is 4444:ISBN 4414:ISBN 4391:PMID 4318:PMID 4240:PMID 4166:PMID 4124:PMID 4007:PMID 3899:PMID 3315:for 3023:> 2675:> 2299:< 2206:F(X) 2160:with 1418:taxa 19:The 4538:doi 4526:138 4491:doi 4469:208 4381:PMC 4373:doi 4308:PMC 4298:doi 4232:doi 4156:doi 4114:PMC 4104:doi 4065:doi 4038:doi 3997:PMC 3989:doi 3930:doi 3926:115 3889:PMC 3881:doi 3877:370 3671:is 3544:lim 3428:lim 3160:exp 3094:log 3077:max 2916:lim 2762:log 2701:lim 2485:log 2393:log 2368:lim 2330:lim 2027:log 1963:log 1882:lim 1777:exp 1742:log 1731:exp 1237:exp 1182:exp 888:max 880:is 275:lim 23:or 4595:: 4567:. 4536:. 4524:. 4520:. 4497:. 4489:. 4481:. 4467:. 4428:^ 4389:. 4379:. 4369:13 4367:. 4363:. 4338:, 4316:. 4306:. 4296:. 4288:. 4276:12 4274:. 4270:. 4246:. 4238:. 4230:. 4222:. 4210:94 4208:. 4164:. 4152:70 4150:. 4146:. 4122:. 4112:. 4102:. 4092:56 4090:. 4086:. 4061:18 4059:. 4032:. 4028:. 4005:. 3995:. 3985:28 3983:. 3979:. 3938:. 3924:. 3920:. 3897:. 3887:. 3875:. 3871:. 3750:ln 3739:ln 3297:10 3255:10 3230:: 2976:. 2788:. 1693:. 1191:ln 815:ln 668:ln 659:ln 641:ln 565:. 484:ln 4573:. 4546:. 4540:: 4532:: 4505:. 4493:: 4485:: 4475:: 4452:. 4422:. 4397:. 4375:: 4324:. 4300:: 4292:: 4282:: 4256:. 4254:. 4234:: 4226:: 4216:: 4193:. 4187:: 4172:. 4158:: 4132:. 4130:. 4106:: 4098:: 4071:. 4067:: 4044:. 4040:: 4034:8 4013:. 3991:: 3946:. 3932:: 3905:. 3883:: 3788:] 3783:) 3778:) 3772:d 3766:t 3762:a 3757:( 3746:( 3733:b 3729:[ 3723:c 3720:1 3715:= 3712:) 3709:t 3706:( 3701:1 3694:f 3677:e 3675:( 3669:e 3663:y 3659:c 3653:x 3649:b 3634:d 3631:+ 3628:a 3625:= 3622:d 3619:+ 3614:0 3609:e 3604:a 3601:= 3598:d 3595:+ 3588:t 3585:c 3579:b 3574:e 3564:e 3559:a 3548:t 3533:a 3518:d 3515:= 3512:d 3509:+ 3496:e 3491:a 3488:= 3485:d 3482:+ 3475:t 3472:c 3466:b 3461:e 3451:e 3446:a 3432:t 3417:d 3400:d 3397:+ 3390:t 3387:c 3381:b 3376:e 3366:e 3361:a 3358:= 3355:) 3352:t 3349:( 3346:f 3301:6 3288:C 3284:X 3259:9 3246:C 3242:X 3216:C 3212:X 3189:. 3185:) 3176:a 3167:( 3157:K 3154:= 3149:C 3145:X 3119:) 3114:) 3109:X 3106:K 3101:( 3088:, 3085:a 3081:( 3074:= 3071:) 3068:X 3065:( 3062:F 3031:C 3027:X 3020:X 2998:C 2994:X 2957:) 2951:1 2948:+ 2936:( 2926:+ 2909:K 2906:= 2901:e 2898:K 2893:= 2890:) 2887:t 2884:( 2881:X 2857:K 2847:) 2841:1 2838:+ 2826:( 2821:= 2818:) 2815:t 2812:( 2809:X 2775:) 2772:x 2769:( 2756:= 2752:) 2742:/ 2738:1 2734:x 2727:1 2723:( 2711:+ 2678:0 2650:) 2647:t 2644:( 2641:X 2637:) 2627:1 2621:) 2616:K 2612:) 2609:t 2606:( 2603:X 2597:( 2589:1 2585:( 2575:= 2572:) 2569:t 2566:( 2557:X 2529:) 2526:t 2523:( 2520:X 2516:) 2510:) 2507:t 2504:( 2501:X 2497:K 2492:( 2479:= 2476:) 2473:t 2470:( 2461:X 2420:+ 2417:= 2413:) 2408:X 2405:K 2400:( 2383:+ 2379:0 2372:X 2364:= 2361:) 2358:X 2355:( 2352:F 2345:+ 2341:0 2334:X 2302:+ 2293:= 2290:) 2287:0 2284:( 2281:F 2274:) 2263:) 2258:K 2255:X 2250:( 2242:1 2238:( 2231:= 2228:) 2225:X 2222:( 2219:F 2191:, 2188:0 2182:) 2179:X 2176:( 2167:F 2154:, 2151:) 2148:t 2145:( 2142:X 2138:) 2134:) 2131:t 2128:( 2125:X 2121:( 2117:F 2114:= 2111:) 2108:t 2105:( 2096:X 2071:) 2068:t 2065:( 2062:X 2058:) 2052:) 2049:t 2046:( 2043:X 2039:K 2034:( 2021:= 2018:) 2015:t 2012:( 2003:X 1988:. 1972:) 1969:( 1915:K 1912:= 1909:) 1906:t 1903:( 1900:X 1892:+ 1886:t 1861:K 1839:) 1836:0 1833:( 1830:X 1803:) 1798:) 1794:t 1784:( 1773:) 1768:K 1764:) 1761:0 1758:( 1755:X 1749:( 1738:( 1728:K 1725:= 1722:) 1719:t 1716:( 1713:X 1670:C 1666:E 1638:C 1634:B 1628:C 1624:N 1599:C 1595:B 1570:C 1566:N 1543:B 1520:) 1513:t 1509:d 1502:C 1498:N 1493:d 1485:C 1481:E 1476:( 1472:+ 1469:) 1464:C 1460:B 1454:C 1450:N 1446:( 1441:C 1433:= 1430:B 1366:b 1342:I 1338:N 1313:0 1309:N 1286:t 1261:) 1258:) 1255:) 1252:t 1249:b 1243:( 1231:1 1228:( 1225:) 1220:0 1216:N 1211:/ 1205:I 1201:N 1197:( 1188:( 1177:0 1173:N 1169:= 1166:) 1163:t 1160:( 1157:N 1079:k 1060:) 1057:t 1054:( 1051:y 1046:) 1043:t 1040:( 1033:y 1026:= 1023:r 995:) 992:t 989:( 986:y 982:1 972:r 968:k 932:e 928:c 925:a 919:= 915:) 909:t 906:d 901:f 898:d 892:( 866:x 863:a 860:m 856:t 835:c 831:/ 827:) 824:b 821:( 812:= 807:x 804:a 801:m 797:t 776:0 773:= 770:) 767:t 764:( 761:f 753:2 749:t 745:d 739:2 735:d 712:a 687:c 683:) 680:) 677:2 674:( 665:( 653:) 650:b 647:( 635:= 630:p 627:w 624:h 620:t 599:2 595:/ 591:a 588:= 585:) 582:t 579:( 576:f 545:t 538:e 530:e 526:= 523:) 520:t 517:( 514:f 490:b 481:+ 478:t 475:c 468:e 460:e 456:a 453:= 446:t 443:c 435:e 430:b 422:e 417:a 414:= 411:) 408:t 405:( 402:f 376:y 372:c 366:x 362:b 347:a 344:= 339:0 334:e 329:a 326:= 319:t 316:c 308:e 303:b 295:e 290:a 279:t 264:a 243:t 240:c 232:e 227:b 219:e 214:a 211:= 208:) 205:t 202:( 199:f 168:c 137:b 106:a

Index

mathematical model
time series
Benjamin Gompertz
sigmoid function
asymptote
simple logistic function
generalised logistic function
Benjamin Gompertz
Royal Society
Abraham de Moivre
William Matthew Makeham



Euler's Number
affine transform
Gompertz law of mortality
Mobile phone
cosmic reionization
carrying capacity
population dynamics
sigmoid function
log phase
metabolism
metastasis
Energy conservation
taxa
tissue
lag phase
natural log

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