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Jarque–Bera test

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3763: 3749: 3787: 3775: 434: 667: 199: 440: 1154: 168: 429:{\displaystyle S={\frac {{\hat {\mu }}_{3}}{{\hat {\sigma }}^{3}}}={\frac {{\frac {1}{n}}\sum _{i=1}^{n}(x_{i}-{\bar {x}})^{3}}{\left({\frac {1}{n}}\sum _{i=1}^{n}(x_{i}-{\bar {x}})^{2}\right)^{3/2}}},} 662:{\displaystyle K={\frac {{\hat {\mu }}_{4}}{{\hat {\sigma }}^{4}}}={\frac {{\frac {1}{n}}\sum _{i=1}^{n}(x_{i}-{\bar {x}})^{4}}{\left({\frac {1}{n}}\sum _{i=1}^{n}(x_{i}-{\bar {x}})^{2}\right)^{2}}},} 1026:'s implementation, the chi-squared approximation for the JB statistic's distribution is only used for large sample sizes (> 2000). For smaller samples, it uses a table derived from 815: 856:
being zero. Samples from a normal distribution have an expected skewness of 0 and an expected excess kurtosis of 0 (which is the same as a kurtosis of 3). As the definition of
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For small samples the chi-squared approximation is overly sensitive, often rejecting the null hypothesis when it is true. Furthermore, the distribution of
1407:; Bera, Anil K. (1981). "Efficient tests for normality, homoscedasticity and serial independence of regression residuals: Monte Carlo evidence". 2884: 3389: 1050:
According to Robert Hall, David Lilien, et al. (1995) when using this test along with multiple regression analysis the right estimate is:
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The statistic was derived by Carlos M. Jarque and Anil K. Bera while working on their Ph.D. Thesis at the Australian National University.
3539: 3163: 1804: 2937: 3376: 1799: 1499: 1383:; Bera, Anil K. (1980). "Efficient tests for normality, homoscedasticity and serial independence of regression residuals". 62:. The test statistic is always nonnegative. If it is far from zero, it signals the data do not have a normal distribution. 2403: 1551: 3186: 3078: 1249: 1239:
includes a built in function called, JarqueBeraALMTest and is not limited to testing against a Gaussian distribution.
871: 3791: 3364: 3238: 17: 3422: 3083: 2828: 2199: 1789: 837: 3473: 2685: 2492: 2381: 2339: 893:-values approximated by a chi-squared distribution that differ from their true alpha levels for small samples. 841: 2413: 3716: 2675: 1578: 1208: 3267: 3216: 3201: 3191: 3060: 2932: 2899: 2725: 2680: 2510: 1188: 1270: 784: 3779: 3611: 3412: 3336: 2637: 2391: 2060: 1524: 1176: 3496: 3468: 3463: 3211: 2970: 2876: 2856: 2764: 2475: 2293: 1776: 1648: 711: 675: 3228: 2996: 2717: 2642: 2571: 2500: 2420: 2408: 2278: 2266: 2259: 1967: 1688: 3813: 3711: 3478: 3341: 3026: 2991: 2955: 2740: 2182: 2091: 2050: 1962: 1653: 1492: 1352: 1214: 833: 3620: 3233: 3173: 3110: 2748: 2732: 2470: 2332: 2322: 2172: 2086: 1211:
statsmodels includes an implementation of the Jarque–Bera test, "statsmodels.stats.stattools.py".
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includes an implementation of the Jarque–Bera test in C++, C#, Delphi, Visual Basic, etc.
1149:{\displaystyle {\mathit {JB}}={\frac {n-k}{6}}\left(S^{2}+{\frac {1}{4}}(K-3)^{2}\right)} 845: 829: 51: 3767: 3578: 3432: 3328: 3277: 3153: 3050: 3034: 3011: 2788: 2522: 2505: 2465: 2376: 2271: 2233: 2204: 2164: 2124: 2070: 1987: 1673: 1668: 1448: 163:{\displaystyle {\mathit {JB}}={\frac {n}{6}}\left(S^{2}+{\frac {1}{4}}(K-3)^{2}\right)} 3762: 3673: 3643: 3635: 3455: 3446: 3371: 3302: 3158: 3143: 3118: 3006: 2947: 2813: 2801: 2427: 2344: 2288: 2211: 2055: 1977: 1756: 1630: 1420: 1396: 3698: 3653: 3417: 3404: 3297: 3272: 3206: 3138: 3016: 2624: 2517: 2450: 2363: 2310: 2129: 2000: 1794: 1678: 1593: 1560: 1440: 1416: 1392: 3615: 3359: 3221: 3148: 2823: 2697: 2670: 2647: 2616: 2243: 2238: 2192: 1922: 1573: 853: 849: 39: 3105: 3564: 3559: 2022: 1952: 1598: 745: 66: 3807: 3721: 3688: 3551: 3512: 3323: 3292: 2756: 2710: 2315: 2017: 1844: 1608: 1603: 1428: 1404: 1380: 55: 3663: 3596: 3573: 3488: 2818: 2114: 2012: 1947: 1889: 1874: 1811: 1766: 886: 875: 59: 1205:
includes an implementation of the Jarque–Bera test, the function "jbtest".
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is the number of regressors when examining residuals to an equation.
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is the number of observations (or degrees of freedom in general);
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shows, any deviation from this increases the JB statistic.
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is a joint hypothesis of the skewness being zero and the
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Introduction and the theory and practice of econometrics
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Hall, Robert E.; Lilien, David M.; et al. (1995).
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Autoregressive conditional heteroskedasticity (ARCH)
1191:includes an implementation of the Jarque-Bera test 2852: 1353:"JarqueBeraALMTest—Wolfram Language Documentation" 1217:includes implementations of the Jarque–Bera test: 1185:includes an implementation of the Jarque–Bera test 1148: 824:If the data comes from a normal distribution, the 817:is the estimate of the second central moment, the 809: 769: 736: 700: 661: 428: 162: 3805: 2938:Multivariate adaptive regression splines (MARS) 1252:, another test based on kurtosis and skewness. 1493: 1011:(These values have been approximated using 1538: 1500: 1486: 1468: 1427: 1403: 1379: 2151: 1263: 844:the hypothesis that the data are from a 1046:Jarque–Bera test in regression analysis 14: 3806: 3464:Kaplan–Meier estimator (product limit) 744:are the estimates of third and fourth 3537: 3104: 2851: 2150: 1920: 1537: 1481: 1459: 42:test of whether sample data have the 3774: 3474:Accelerated failure time (AFT) model 810:{\displaystyle {\hat {\sigma }}^{2}} 3786: 3069:Analysis of variance (ANOVA, anova) 1921: 1271:"Analysis of the JB-Test in MATLAB" 24: 3164:Cochran–Mantel–Haenszel statistics 1790:Pearson product-moment correlation 1373: 1170: 1163:is the number of observations and 1062: 840:, so the statistic can be used to 84: 25: 3825: 1464:(3rd ed.). pp. 890–892. 889:rate. The table below shows some 737:{\displaystyle {\hat {\mu }}_{4}} 701:{\displaystyle {\hat {\mu }}_{3}} 3785: 3773: 3761: 3748: 3747: 3538: 1433:International Statistical Review 3423:Least-squares spectral analysis 885:-values. This leads to a large 2404:Mean-unbiased minimum-variance 1507: 1345: 1327: 1309: 1285: 1132: 1119: 795: 761: 722: 686: 634: 627: 605: 558: 551: 529: 478: 459: 393: 386: 364: 317: 310: 288: 237: 218: 146: 133: 13: 1: 3717:Geographic information system 2933:Simultaneous equations models 1256: 2900:Coefficient of determination 2511:Uniformly most powerful test 1421:10.1016/0165-1765(81)90035-5 1397:10.1016/0165-1765(80)90024-5 7: 3469:Proportional hazards models 3413:Spectral density estimation 3395:Vector autoregression (VAR) 2829:Maximum posterior estimator 2061:Randomized controlled trial 1460:Judge; et al. (1988). 1250:D'Agostino's K-squared test 1243: 10: 3830: 3229:Multivariate distributions 1649:Average absolute deviation 1037: 770:{\displaystyle {\bar {x}}} 54:. The test is named after 3743: 3697: 3634: 3587: 3550: 3546: 3533: 3505: 3487: 3454: 3445: 3403: 3350: 3311: 3260: 3251: 3217:Structural equation model 3172: 3129: 3125: 3100: 3059: 3025: 2979: 2946: 2908: 2875: 2871: 2847: 2787: 2696: 2615: 2579: 2570: 2553:Score/Lagrange multiplier 2538: 2491: 2436: 2362: 2353: 2163: 2159: 2146: 2105: 2079: 2031: 1986: 1968:Sample size determination 1933: 1929: 1916: 1820: 1775: 1749: 1731: 1687: 1639: 1559: 1550: 1546: 1533: 1515: 3712:Environmental statistics 3234:Elliptical distributions 3027:Generalized linear model 2956:Simple linear regression 2726:Hodges–Lehmann estimator 2183:Probability distribution 2092:Stochastic approximation 1654:Coefficient of variation 1030:in order to interpolate 834:chi-squared distribution 3372:Cross-correlation (XCF) 2980:Non-standard predictors 2414:Lehmann–Scheffé theorem 2087:Adaptive clinical trial 1028:Monte Carlo simulations 881:, especially for small 3768:Mathematics portal 3589:Engineering statistics 3497:Nelson–Aalen estimator 3074:Analysis of covariance 2961:Ordinary least squares 2885:Pearson product-moment 2289:Statistical functional 2200:Empirical distribution 2033:Controlled experiments 1762:Frequency distribution 1540:Descriptive statistics 1150: 1013:Monte Carlo simulation 811: 771: 738: 702: 663: 604: 528: 430: 363: 287: 164: 3684:Population statistics 3626:System identification 3360:Autocorrelation (ACF) 3288:Exponential smoothing 3202:Discriminant analysis 3197:Canonical correlation 3061:Partition of variance 2923:Regression validation 2767:(Jonckheere–Terpstra) 2666:Likelihood-ratio test 2355:Frequentist inference 2267:Location–scale family 2188:Sampling distribution 2153:Statistical inference 2120:Cross-sectional study 2107:Observational studies 2066:Randomized experiment 1895:Stem-and-leaf display 1697:Central limit theorem 1357:reference.wolfram.com 1151: 879:unimodal distribution 812: 772: 739: 703: 664: 584: 508: 431: 343: 267: 165: 3607:Probabilistic design 3192:Principal components 3035:Exponential families 2987:Nonlinear regression 2966:General linear model 2928:Mixed effects models 2918:Errors and residuals 2895:Confounding variable 2797:Bayesian probability 2775:Van der Waerden test 2765:Ordered alternative 2530:Multiple comparisons 2409:Rao–Blackwellization 2372:Estimating equations 2328:Statistical distance 2046:Factorial experiment 1579:Arithmetic-Geometric 1057: 872:uniform distribution 785: 752: 712: 676: 441: 200: 79: 3679:Official statistics 3602:Methods engineering 3283:Seasonal adjustment 3051:Poisson regressions 2971:Bayesian regression 2910:Regression analysis 2890:Partial correlation 2862:Regression analysis 2461:Prediction interval 2456:Likelihood interval 2446:Confidence interval 2438:Interval estimation 2399:Unbiased estimators 2217:Model specification 2097:Up-and-down designs 1785:Partial correlation 1741:Index of dispersion 1659:Interquartile range 1293:"Time series tests" 1225:, for example, and 904: 846:normal distribution 52:normal distribution 3699:Spatial statistics 3579:Medical statistics 3479:First hitting time 3433:Whittle likelihood 3084:Degrees of freedom 3079:Multivariate ANOVA 3012:Heteroscedasticity 2824:Bayesian estimator 2789:Bayesian inference 2638:Kolmogorov–Smirnov 2523:Randomization test 2493:Testing hypotheses 2466:Tolerance interval 2377:Maximum likelihood 2272:Exponential family 2205:Density estimation 2165:Statistical theory 2125:Natural experiment 2071:Scientific control 1988:Survey methodology 1674:Standard deviation 1146: 898: 838:degrees of freedom 807: 767: 734: 698: 659: 426: 160: 3801: 3800: 3739: 3738: 3735: 3734: 3674:National accounts 3644:Actuarial science 3636:Social statistics 3529: 3528: 3525: 3524: 3521: 3520: 3456:Survival function 3441: 3440: 3303:Granger causality 3144:Contingency table 3119:Survival analysis 3096: 3095: 3092: 3091: 2948:Linear regression 2843: 2842: 2839: 2838: 2814:Credible interval 2783: 2782: 2566: 2565: 2382:Method of moments 2251:Parametric family 2212:Statistical model 2142: 2141: 2138: 2137: 2056:Random assignment 1978:Statistical power 1912: 1911: 1908: 1907: 1757:Contingency table 1727: 1726: 1594:Generalized/power 1471:EViews User Guide 1429:Jarque, Carlos M. 1409:Economics Letters 1405:Jarque, Carlos M. 1385:Economics Letters 1381:Jarque, Carlos M. 1117: 1089: 1007: 1006: 798: 764: 725: 689: 654: 630: 582: 554: 506: 490: 481: 462: 421: 389: 341: 313: 265: 249: 240: 221: 131: 103: 16:(Redirected from 3821: 3789: 3788: 3777: 3776: 3766: 3765: 3751: 3750: 3654:Crime statistics 3548: 3547: 3535: 3534: 3452: 3451: 3418:Fourier analysis 3405:Frequency domain 3385: 3332: 3298:Structural break 3258: 3257: 3207:Cluster analysis 3154:Log-linear model 3127: 3126: 3102: 3101: 3043: 3017:Homoscedasticity 2873: 2872: 2849: 2848: 2768: 2760: 2752: 2751:(Kruskal–Wallis) 2736: 2721: 2676:Cross validation 2661: 2643:Anderson–Darling 2590: 2577: 2576: 2548:Likelihood-ratio 2540:Parametric tests 2518:Permutation test 2501:1- & 2-tails 2392:Minimum distance 2364:Point estimation 2360: 2359: 2311:Optimal decision 2262: 2161: 2160: 2148: 2147: 2130:Quasi-experiment 2080:Adaptive designs 1931: 1930: 1918: 1917: 1795:Rank correlation 1557: 1556: 1548: 1547: 1535: 1534: 1502: 1495: 1488: 1479: 1478: 1474: 1465: 1456: 1424: 1400: 1367: 1366: 1364: 1363: 1349: 1343: 1342: 1331: 1325: 1324: 1313: 1307: 1306: 1304: 1303: 1289: 1283: 1282: 1280: 1278: 1267: 1219:jarque.bera.test 1155: 1153: 1152: 1147: 1145: 1141: 1140: 1139: 1118: 1110: 1105: 1104: 1090: 1085: 1074: 1069: 1068: 905: 897: 816: 814: 813: 808: 806: 805: 800: 799: 791: 776: 774: 773: 768: 766: 765: 757: 748:, respectively, 743: 741: 740: 735: 733: 732: 727: 726: 718: 707: 705: 704: 699: 697: 696: 691: 690: 682: 668: 666: 665: 660: 655: 653: 652: 647: 643: 642: 641: 632: 631: 623: 617: 616: 603: 598: 583: 575: 567: 566: 565: 556: 555: 547: 541: 540: 527: 522: 507: 499: 496: 491: 489: 488: 483: 482: 474: 470: 469: 464: 463: 455: 451: 435: 433: 432: 427: 422: 420: 419: 415: 406: 402: 401: 400: 391: 390: 382: 376: 375: 362: 357: 342: 334: 326: 325: 324: 315: 314: 306: 300: 299: 286: 281: 266: 258: 255: 250: 248: 247: 242: 241: 233: 229: 228: 223: 222: 214: 210: 169: 167: 166: 161: 159: 155: 154: 153: 132: 124: 119: 118: 104: 96: 91: 90: 36:Jarque–Bera test 21: 18:Jarque-Bera test 3829: 3828: 3824: 3823: 3822: 3820: 3819: 3818: 3814:Normality tests 3804: 3803: 3802: 3797: 3760: 3731: 3693: 3630: 3616:quality control 3583: 3565:Clinical trials 3542: 3517: 3501: 3489:Hazard function 3483: 3437: 3399: 3383: 3346: 3342:Breusch–Godfrey 3330: 3307: 3247: 3222:Factor analysis 3168: 3149:Graphical model 3121: 3088: 3055: 3041: 3021: 2975: 2942: 2904: 2867: 2866: 2835: 2779: 2766: 2758: 2750: 2734: 2719: 2698:Rank statistics 2692: 2671:Model selection 2659: 2617:Goodness of fit 2611: 2588: 2562: 2534: 2487: 2432: 2421:Median unbiased 2349: 2260: 2193:Order statistic 2155: 2134: 2101: 2075: 2027: 1982: 1925: 1923:Data collection 1904: 1816: 1771: 1745: 1723: 1683: 1635: 1552:Continuous data 1542: 1529: 1511: 1506: 1445:10.2307/1403192 1376: 1374:Further reading 1371: 1370: 1361: 1359: 1351: 1350: 1346: 1333: 1332: 1328: 1315: 1314: 1310: 1301: 1299: 1291: 1290: 1286: 1276: 1274: 1269: 1268: 1264: 1259: 1246: 1229:in the package 1221:in the package 1197:HypothesisTests 1173: 1171:Implementations 1135: 1131: 1109: 1100: 1096: 1095: 1091: 1075: 1073: 1061: 1060: 1058: 1055: 1054: 1048: 1040: 870:departs from a 854:excess kurtosis 850:null hypothesis 801: 790: 789: 788: 786: 783: 782: 756: 755: 753: 750: 749: 746:central moments 728: 717: 716: 715: 713: 710: 709: 692: 681: 680: 679: 677: 674: 673: 648: 637: 633: 622: 621: 612: 608: 599: 588: 574: 573: 569: 568: 561: 557: 546: 545: 536: 532: 523: 512: 498: 497: 495: 484: 473: 472: 471: 465: 454: 453: 452: 450: 442: 439: 438: 411: 407: 396: 392: 381: 380: 371: 367: 358: 347: 333: 332: 328: 327: 320: 316: 305: 304: 295: 291: 282: 271: 257: 256: 254: 243: 232: 231: 230: 224: 213: 212: 211: 209: 201: 198: 197: 149: 145: 123: 114: 110: 109: 105: 95: 83: 82: 80: 77: 76: 40:goodness-of-fit 28: 23: 22: 15: 12: 11: 5: 3827: 3817: 3816: 3799: 3798: 3796: 3795: 3783: 3771: 3757: 3744: 3741: 3740: 3737: 3736: 3733: 3732: 3730: 3729: 3724: 3719: 3714: 3709: 3703: 3701: 3695: 3694: 3692: 3691: 3686: 3681: 3676: 3671: 3666: 3661: 3656: 3651: 3646: 3640: 3638: 3632: 3631: 3629: 3628: 3623: 3618: 3609: 3604: 3599: 3593: 3591: 3585: 3584: 3582: 3581: 3576: 3571: 3562: 3560:Bioinformatics 3556: 3554: 3544: 3543: 3531: 3530: 3527: 3526: 3523: 3522: 3519: 3518: 3516: 3515: 3509: 3507: 3503: 3502: 3500: 3499: 3493: 3491: 3485: 3484: 3482: 3481: 3476: 3471: 3466: 3460: 3458: 3449: 3443: 3442: 3439: 3438: 3436: 3435: 3430: 3425: 3420: 3415: 3409: 3407: 3401: 3400: 3398: 3397: 3392: 3387: 3379: 3374: 3369: 3368: 3367: 3365:partial (PACF) 3356: 3354: 3348: 3347: 3345: 3344: 3339: 3334: 3326: 3321: 3315: 3313: 3312:Specific tests 3309: 3308: 3306: 3305: 3300: 3295: 3290: 3285: 3280: 3275: 3270: 3264: 3262: 3255: 3249: 3248: 3246: 3245: 3244: 3243: 3242: 3241: 3226: 3225: 3224: 3214: 3212:Classification 3209: 3204: 3199: 3194: 3189: 3184: 3178: 3176: 3170: 3169: 3167: 3166: 3161: 3159:McNemar's test 3156: 3151: 3146: 3141: 3135: 3133: 3123: 3122: 3098: 3097: 3094: 3093: 3090: 3089: 3087: 3086: 3081: 3076: 3071: 3065: 3063: 3057: 3056: 3054: 3053: 3037: 3031: 3029: 3023: 3022: 3020: 3019: 3014: 3009: 3004: 2999: 2997:Semiparametric 2994: 2989: 2983: 2981: 2977: 2976: 2974: 2973: 2968: 2963: 2958: 2952: 2950: 2944: 2943: 2941: 2940: 2935: 2930: 2925: 2920: 2914: 2912: 2906: 2905: 2903: 2902: 2897: 2892: 2887: 2881: 2879: 2869: 2868: 2865: 2864: 2859: 2853: 2845: 2844: 2841: 2840: 2837: 2836: 2834: 2833: 2832: 2831: 2821: 2816: 2811: 2810: 2809: 2804: 2793: 2791: 2785: 2784: 2781: 2780: 2778: 2777: 2772: 2771: 2770: 2762: 2754: 2738: 2735:(Mann–Whitney) 2730: 2729: 2728: 2715: 2714: 2713: 2702: 2700: 2694: 2693: 2691: 2690: 2689: 2688: 2683: 2678: 2668: 2663: 2660:(Shapiro–Wilk) 2655: 2650: 2645: 2640: 2635: 2627: 2621: 2619: 2613: 2612: 2610: 2609: 2601: 2592: 2580: 2574: 2572:Specific tests 2568: 2567: 2564: 2563: 2561: 2560: 2555: 2550: 2544: 2542: 2536: 2535: 2533: 2532: 2527: 2526: 2525: 2515: 2514: 2513: 2503: 2497: 2495: 2489: 2488: 2486: 2485: 2484: 2483: 2478: 2468: 2463: 2458: 2453: 2448: 2442: 2440: 2434: 2433: 2431: 2430: 2425: 2424: 2423: 2418: 2417: 2416: 2411: 2396: 2395: 2394: 2389: 2384: 2379: 2368: 2366: 2357: 2351: 2350: 2348: 2347: 2342: 2337: 2336: 2335: 2325: 2320: 2319: 2318: 2308: 2307: 2306: 2301: 2296: 2286: 2281: 2276: 2275: 2274: 2269: 2264: 2248: 2247: 2246: 2241: 2236: 2226: 2225: 2224: 2219: 2209: 2208: 2207: 2197: 2196: 2195: 2185: 2180: 2175: 2169: 2167: 2157: 2156: 2144: 2143: 2140: 2139: 2136: 2135: 2133: 2132: 2127: 2122: 2117: 2111: 2109: 2103: 2102: 2100: 2099: 2094: 2089: 2083: 2081: 2077: 2076: 2074: 2073: 2068: 2063: 2058: 2053: 2048: 2043: 2037: 2035: 2029: 2028: 2026: 2025: 2023:Standard error 2020: 2015: 2010: 2009: 2008: 2003: 1992: 1990: 1984: 1983: 1981: 1980: 1975: 1970: 1965: 1960: 1955: 1953:Optimal design 1950: 1945: 1939: 1937: 1927: 1926: 1914: 1913: 1910: 1909: 1906: 1905: 1903: 1902: 1897: 1892: 1887: 1882: 1877: 1872: 1867: 1862: 1857: 1852: 1847: 1842: 1837: 1832: 1826: 1824: 1818: 1817: 1815: 1814: 1809: 1808: 1807: 1802: 1792: 1787: 1781: 1779: 1773: 1772: 1770: 1769: 1764: 1759: 1753: 1751: 1750:Summary tables 1747: 1746: 1744: 1743: 1737: 1735: 1729: 1728: 1725: 1724: 1722: 1721: 1720: 1719: 1714: 1709: 1699: 1693: 1691: 1685: 1684: 1682: 1681: 1676: 1671: 1666: 1661: 1656: 1651: 1645: 1643: 1637: 1636: 1634: 1633: 1628: 1623: 1622: 1621: 1616: 1611: 1606: 1601: 1596: 1591: 1586: 1584:Contraharmonic 1581: 1576: 1565: 1563: 1554: 1544: 1543: 1531: 1530: 1528: 1527: 1522: 1516: 1513: 1512: 1505: 1504: 1497: 1490: 1482: 1476: 1475: 1473:. p. 141. 1466: 1457: 1439:(2): 163–172. 1425: 1415:(4): 313–318. 1401: 1391:(3): 255–259. 1375: 1372: 1369: 1368: 1344: 1326: 1308: 1297:juliastats.org 1284: 1261: 1260: 1258: 1255: 1254: 1253: 1245: 1242: 1241: 1240: 1234: 1212: 1206: 1200: 1193:JarqueBeraTest 1186: 1180: 1172: 1169: 1157: 1156: 1144: 1138: 1134: 1130: 1127: 1124: 1121: 1116: 1113: 1108: 1103: 1099: 1094: 1088: 1084: 1081: 1078: 1072: 1067: 1064: 1047: 1044: 1039: 1036: 1009: 1008: 1005: 1004: 1001: 998: 995: 992: 989: 985: 984: 981: 978: 975: 972: 969: 965: 964: 961: 958: 955: 952: 949: 945: 944: 941: 938: 935: 932: 929: 925: 924: 921: 918: 915: 912: 909: 874:and becomes a 830:asymptotically 804: 797: 794: 777:is the sample 763: 760: 731: 724: 721: 695: 688: 685: 670: 669: 658: 651: 646: 640: 636: 629: 626: 620: 615: 611: 607: 602: 597: 594: 591: 587: 581: 578: 572: 564: 560: 553: 550: 544: 539: 535: 531: 526: 521: 518: 515: 511: 505: 502: 494: 487: 480: 477: 468: 461: 458: 449: 446: 436: 425: 418: 414: 410: 405: 399: 395: 388: 385: 379: 374: 370: 366: 361: 356: 353: 350: 346: 340: 337: 331: 323: 319: 312: 309: 303: 298: 294: 290: 285: 280: 277: 274: 270: 264: 261: 253: 246: 239: 236: 227: 220: 217: 208: 205: 189:is the sample 181:is the sample 171: 170: 158: 152: 148: 144: 141: 138: 135: 130: 127: 122: 117: 113: 108: 102: 99: 94: 89: 86: 72:is defined as 67:test statistic 27:Normality test 26: 9: 6: 4: 3: 2: 3826: 3815: 3812: 3811: 3809: 3794: 3793: 3784: 3782: 3781: 3772: 3770: 3769: 3764: 3758: 3756: 3755: 3746: 3745: 3742: 3728: 3725: 3723: 3722:Geostatistics 3720: 3718: 3715: 3713: 3710: 3708: 3705: 3704: 3702: 3700: 3696: 3690: 3689:Psychometrics 3687: 3685: 3682: 3680: 3677: 3675: 3672: 3670: 3667: 3665: 3662: 3660: 3657: 3655: 3652: 3650: 3647: 3645: 3642: 3641: 3639: 3637: 3633: 3627: 3624: 3622: 3619: 3617: 3613: 3610: 3608: 3605: 3603: 3600: 3598: 3595: 3594: 3592: 3590: 3586: 3580: 3577: 3575: 3572: 3570: 3566: 3563: 3561: 3558: 3557: 3555: 3553: 3552:Biostatistics 3549: 3545: 3541: 3536: 3532: 3514: 3513:Log-rank test 3511: 3510: 3508: 3504: 3498: 3495: 3494: 3492: 3490: 3486: 3480: 3477: 3475: 3472: 3470: 3467: 3465: 3462: 3461: 3459: 3457: 3453: 3450: 3448: 3444: 3434: 3431: 3429: 3426: 3424: 3421: 3419: 3416: 3414: 3411: 3410: 3408: 3406: 3402: 3396: 3393: 3391: 3388: 3386: 3384:(Box–Jenkins) 3380: 3378: 3375: 3373: 3370: 3366: 3363: 3362: 3361: 3358: 3357: 3355: 3353: 3349: 3343: 3340: 3338: 3337:Durbin–Watson 3335: 3333: 3327: 3325: 3322: 3320: 3319:Dickey–Fuller 3317: 3316: 3314: 3310: 3304: 3301: 3299: 3296: 3294: 3293:Cointegration 3291: 3289: 3286: 3284: 3281: 3279: 3276: 3274: 3271: 3269: 3268:Decomposition 3266: 3265: 3263: 3259: 3256: 3254: 3250: 3240: 3237: 3236: 3235: 3232: 3231: 3230: 3227: 3223: 3220: 3219: 3218: 3215: 3213: 3210: 3208: 3205: 3203: 3200: 3198: 3195: 3193: 3190: 3188: 3185: 3183: 3180: 3179: 3177: 3175: 3171: 3165: 3162: 3160: 3157: 3155: 3152: 3150: 3147: 3145: 3142: 3140: 3139:Cohen's kappa 3137: 3136: 3134: 3132: 3128: 3124: 3120: 3116: 3112: 3108: 3103: 3099: 3085: 3082: 3080: 3077: 3075: 3072: 3070: 3067: 3066: 3064: 3062: 3058: 3052: 3048: 3044: 3038: 3036: 3033: 3032: 3030: 3028: 3024: 3018: 3015: 3013: 3010: 3008: 3005: 3003: 3000: 2998: 2995: 2993: 2992:Nonparametric 2990: 2988: 2985: 2984: 2982: 2978: 2972: 2969: 2967: 2964: 2962: 2959: 2957: 2954: 2953: 2951: 2949: 2945: 2939: 2936: 2934: 2931: 2929: 2926: 2924: 2921: 2919: 2916: 2915: 2913: 2911: 2907: 2901: 2898: 2896: 2893: 2891: 2888: 2886: 2883: 2882: 2880: 2878: 2874: 2870: 2863: 2860: 2858: 2855: 2854: 2850: 2846: 2830: 2827: 2826: 2825: 2822: 2820: 2817: 2815: 2812: 2808: 2805: 2803: 2800: 2799: 2798: 2795: 2794: 2792: 2790: 2786: 2776: 2773: 2769: 2763: 2761: 2755: 2753: 2747: 2746: 2745: 2742: 2741:Nonparametric 2739: 2737: 2731: 2727: 2724: 2723: 2722: 2716: 2712: 2711:Sample median 2709: 2708: 2707: 2704: 2703: 2701: 2699: 2695: 2687: 2684: 2682: 2679: 2677: 2674: 2673: 2672: 2669: 2667: 2664: 2662: 2656: 2654: 2651: 2649: 2646: 2644: 2641: 2639: 2636: 2634: 2632: 2628: 2626: 2623: 2622: 2620: 2618: 2614: 2608: 2606: 2602: 2600: 2598: 2593: 2591: 2586: 2582: 2581: 2578: 2575: 2573: 2569: 2559: 2556: 2554: 2551: 2549: 2546: 2545: 2543: 2541: 2537: 2531: 2528: 2524: 2521: 2520: 2519: 2516: 2512: 2509: 2508: 2507: 2504: 2502: 2499: 2498: 2496: 2494: 2490: 2482: 2479: 2477: 2474: 2473: 2472: 2469: 2467: 2464: 2462: 2459: 2457: 2454: 2452: 2449: 2447: 2444: 2443: 2441: 2439: 2435: 2429: 2426: 2422: 2419: 2415: 2412: 2410: 2407: 2406: 2405: 2402: 2401: 2400: 2397: 2393: 2390: 2388: 2385: 2383: 2380: 2378: 2375: 2374: 2373: 2370: 2369: 2367: 2365: 2361: 2358: 2356: 2352: 2346: 2343: 2341: 2338: 2334: 2331: 2330: 2329: 2326: 2324: 2321: 2317: 2316:loss function 2314: 2313: 2312: 2309: 2305: 2302: 2300: 2297: 2295: 2292: 2291: 2290: 2287: 2285: 2282: 2280: 2277: 2273: 2270: 2268: 2265: 2263: 2257: 2254: 2253: 2252: 2249: 2245: 2242: 2240: 2237: 2235: 2232: 2231: 2230: 2227: 2223: 2220: 2218: 2215: 2214: 2213: 2210: 2206: 2203: 2202: 2201: 2198: 2194: 2191: 2190: 2189: 2186: 2184: 2181: 2179: 2176: 2174: 2171: 2170: 2168: 2166: 2162: 2158: 2154: 2149: 2145: 2131: 2128: 2126: 2123: 2121: 2118: 2116: 2113: 2112: 2110: 2108: 2104: 2098: 2095: 2093: 2090: 2088: 2085: 2084: 2082: 2078: 2072: 2069: 2067: 2064: 2062: 2059: 2057: 2054: 2052: 2049: 2047: 2044: 2042: 2039: 2038: 2036: 2034: 2030: 2024: 2021: 2019: 2018:Questionnaire 2016: 2014: 2011: 2007: 2004: 2002: 1999: 1998: 1997: 1994: 1993: 1991: 1989: 1985: 1979: 1976: 1974: 1971: 1969: 1966: 1964: 1961: 1959: 1956: 1954: 1951: 1949: 1946: 1944: 1941: 1940: 1938: 1936: 1932: 1928: 1924: 1919: 1915: 1901: 1898: 1896: 1893: 1891: 1888: 1886: 1883: 1881: 1878: 1876: 1873: 1871: 1868: 1866: 1863: 1861: 1858: 1856: 1853: 1851: 1848: 1846: 1845:Control chart 1843: 1841: 1838: 1836: 1833: 1831: 1828: 1827: 1825: 1823: 1819: 1813: 1810: 1806: 1803: 1801: 1798: 1797: 1796: 1793: 1791: 1788: 1786: 1783: 1782: 1780: 1778: 1774: 1768: 1765: 1763: 1760: 1758: 1755: 1754: 1752: 1748: 1742: 1739: 1738: 1736: 1734: 1730: 1718: 1715: 1713: 1710: 1708: 1705: 1704: 1703: 1700: 1698: 1695: 1694: 1692: 1690: 1686: 1680: 1677: 1675: 1672: 1670: 1667: 1665: 1662: 1660: 1657: 1655: 1652: 1650: 1647: 1646: 1644: 1642: 1638: 1632: 1629: 1627: 1624: 1620: 1617: 1615: 1612: 1610: 1607: 1605: 1602: 1600: 1597: 1595: 1592: 1590: 1587: 1585: 1582: 1580: 1577: 1575: 1572: 1571: 1570: 1567: 1566: 1564: 1562: 1558: 1555: 1553: 1549: 1545: 1541: 1536: 1532: 1526: 1523: 1521: 1518: 1517: 1514: 1510: 1503: 1498: 1496: 1491: 1489: 1484: 1483: 1480: 1472: 1467: 1463: 1458: 1454: 1450: 1446: 1442: 1438: 1434: 1430: 1426: 1422: 1418: 1414: 1410: 1406: 1402: 1398: 1394: 1390: 1386: 1382: 1378: 1377: 1358: 1354: 1348: 1340: 1336: 1330: 1322: 1318: 1312: 1298: 1294: 1288: 1272: 1266: 1262: 1251: 1248: 1247: 1238: 1235: 1232: 1228: 1224: 1220: 1216: 1213: 1210: 1207: 1204: 1201: 1198: 1194: 1190: 1187: 1184: 1181: 1178: 1175: 1174: 1168: 1166: 1162: 1142: 1136: 1128: 1125: 1122: 1114: 1111: 1106: 1101: 1097: 1092: 1086: 1082: 1079: 1076: 1070: 1053: 1052: 1051: 1043: 1035: 1033: 1029: 1025: 1020: 1018: 1014: 1002: 999: 996: 993: 990: 987: 986: 982: 979: 976: 973: 970: 967: 966: 962: 959: 956: 953: 950: 947: 946: 942: 939: 936: 933: 930: 927: 926: 922: 919: 916: 913: 910: 907: 906: 902: 896: 895: 894: 892: 888: 884: 880: 877: 873: 869: 867: 861: 859: 855: 851: 847: 843: 839: 835: 831: 827: 822: 820: 802: 792: 780: 758: 747: 729: 719: 693: 683: 656: 649: 644: 638: 624: 618: 613: 609: 600: 595: 592: 589: 585: 579: 576: 570: 562: 548: 542: 537: 533: 524: 519: 516: 513: 509: 503: 500: 492: 485: 475: 466: 456: 447: 444: 437: 423: 416: 412: 408: 403: 397: 383: 377: 372: 368: 359: 354: 351: 348: 344: 338: 335: 329: 321: 307: 301: 296: 292: 283: 278: 275: 272: 268: 262: 259: 251: 244: 234: 225: 215: 206: 203: 196: 195: 194: 192: 188: 184: 180: 176: 156: 150: 142: 139: 136: 128: 125: 120: 115: 111: 106: 100: 97: 92: 75: 74: 73: 71: 68: 63: 61: 57: 56:Carlos Jarque 53: 49: 45: 41: 37: 33: 19: 3790: 3778: 3759: 3752: 3664:Econometrics 3614: / 3597:Chemometrics 3574:Epidemiology 3567: / 3540:Applications 3382:ARIMA model 3329:Q-statistic 3278:Stationarity 3174:Multivariate 3117: / 3113: / 3111:Multivariate 3109: / 3049: / 3045: / 2819:Bayes factor 2718:Signed rank 2652: 2630: 2604: 2596: 2584: 2279:Completeness 2115:Cohort study 2013:Opinion poll 1948:Missing data 1935:Study design 1890:Scatter plot 1812:Scatter plot 1805:Spearman's ρ 1767:Grouped data 1470: 1461: 1436: 1432: 1412: 1408: 1388: 1384: 1360:. Retrieved 1356: 1347: 1338: 1329: 1320: 1311: 1300:. Retrieved 1296: 1287: 1275:. Retrieved 1265: 1230: 1226: 1222: 1218: 1196: 1192: 1164: 1160: 1158: 1049: 1041: 1031: 1021: 1010: 908:True α level 900: 890: 887:Type I error 882: 876:right-skewed 865: 862: 857: 825: 823: 671: 186: 178: 174: 172: 69: 64: 60:Anil K. Bera 35: 29: 3792:WikiProject 3707:Cartography 3669:Jurimetrics 3621:Reliability 3352:Time domain 3331:(Ljung–Box) 3253:Time-series 3131:Categorical 3115:Time-series 3107:Categorical 3042:(Bernoulli) 2877:Correlation 2857:Correlation 2653:Jarque–Bera 2625:Chi-squared 2387:M-estimator 2340:Asymptotics 2284:Sufficiency 2051:Interaction 1963:Replication 1943:Effect size 1900:Violin plot 1880:Radar chart 1860:Forest plot 1850:Correlogram 1800:Kendall's τ 1273:. MathWorks 1227:jarque.test 899:Calculated 50:matching a 3659:Demography 3377:ARMA model 3182:Regression 2759:(Friedman) 2720:(Wilcoxon) 2658:Normality 2648:Lilliefors 2595:Student's 2471:Resampling 2345:Robustness 2333:divergence 2323:Efficiency 2261:(monotone) 2256:Likelihood 2173:Population 2006:Stratified 1958:Population 1777:Dependence 1733:Count data 1664:Percentile 1641:Dispersion 1574:Arithmetic 1509:Statistics 1362:2017-10-26 1302:2020-02-04 1257:References 828:statistic 32:statistics 3040:Logistic 2807:posterior 2733:Rank sum 2481:Jackknife 2476:Bootstrap 2294:Bootstrap 2229:Parameter 2178:Statistic 1973:Statistic 1885:Run chart 1870:Pie chart 1865:Histogram 1855:Fan chart 1830:Bar chart 1712:L-moments 1599:Geometric 1339:R Project 1321:R Project 1126:− 1080:− 1034:-values. 836:with two 796:^ 793:σ 762:¯ 723:^ 720:μ 687:^ 684:μ 628:¯ 619:− 586:∑ 552:¯ 543:− 510:∑ 479:^ 476:σ 460:^ 457:μ 387:¯ 378:− 345:∑ 311:¯ 302:− 269:∑ 238:^ 235:σ 219:^ 216:μ 140:− 3808:Category 3754:Category 3447:Survival 3324:Johansen 3047:Binomial 3002:Isotonic 2589:(normal) 2234:location 2041:Blocking 1996:Sampling 1875:Q–Q plot 1840:Box plot 1822:Graphics 1717:Skewness 1707:Kurtosis 1679:Variance 1609:Heronian 1604:Harmonic 1244:See also 1199:package. 819:variance 193: : 191:kurtosis 183:skewness 48:kurtosis 44:skewness 3780:Commons 3727:Kriging 3612:Process 3569:studies 3428:Wavelet 3261:General 2428:Plug-in 2222:L space 2001:Cluster 1702:Moments 1520:Outline 1453:1403192 1277:May 24, 1237:Wolfram 1231:moments 1223:tseries 1195:in the 1038:History 983:0.0168 943:0.1560 868:-values 3649:Census 3239:Normal 3187:Manova 3007:Robust 2757:2-way 2749:1-way 2587:-test 2258:  1835:Biplot 1626:Median 1619:Lehmer 1561:Center 1451:  1209:Python 1203:MATLAB 1177:ALGLIB 1159:where 1024:MATLAB 1017:Matlab 1003:0.002 1000:0.0012 997:0.0015 994:0.0033 991:0.0064 974:0.0303 968:0.025 963:0.062 951:0.1461 848:. The 832:has a 781:, and 672:where 173:where 34:, the 3273:Trend 2802:prior 2744:anova 2633:-test 2607:-test 2599:-test 2506:Power 2451:Pivot 2244:shape 2239:scale 1689:Shape 1669:Range 1614:Heinz 1589:Cubic 1525:Index 1449:JSTOR 1189:Julia 1183:gretl 988:0.01 980:0.016 977:0.020 971:0.051 960:0.067 957:0.079 954:0.109 948:0.05 940:0.183 937:0.201 934:0.252 931:0.307 38:is a 3506:Test 2706:Sign 2558:Wald 1631:Mode 1569:Mean 1279:2009 928:0.1 923:100 842:test 779:mean 708:and 65:The 58:and 46:and 2686:BIC 2681:AIC 1441:doi 1417:doi 1393:doi 1022:In 1015:in 30:In 3810:: 1447:. 1437:55 1435:. 1411:. 1387:. 1355:. 1337:. 1319:. 1295:. 1019:) 920:70 917:50 914:30 911:20 858:JB 826:JB 821:. 185:, 70:JB 2631:G 2605:F 2597:t 2585:Z 2304:V 2299:U 1501:e 1494:t 1487:v 1455:. 1443:: 1423:. 1419:: 1413:7 1399:. 1395:: 1389:6 1365:. 1341:. 1323:. 1305:. 1281:. 1233:. 1215:R 1165:k 1161:n 1143:) 1137:2 1133:) 1129:3 1123:K 1120:( 1115:4 1112:1 1107:+ 1102:2 1098:S 1093:( 1087:6 1083:k 1077:n 1071:= 1066:B 1063:J 1032:p 901:p 891:p 883:p 866:p 803:2 759:x 730:4 694:3 657:, 650:2 645:) 639:2 635:) 625:x 614:i 610:x 606:( 601:n 596:1 593:= 590:i 580:n 577:1 571:( 563:4 559:) 549:x 538:i 534:x 530:( 525:n 520:1 517:= 514:i 504:n 501:1 493:= 486:4 467:4 448:= 445:K 424:, 417:2 413:/ 409:3 404:) 398:2 394:) 384:x 373:i 369:x 365:( 360:n 355:1 352:= 349:i 339:n 336:1 330:( 322:3 318:) 308:x 297:i 293:x 289:( 284:n 279:1 276:= 273:i 263:n 260:1 252:= 245:3 226:3 207:= 204:S 187:K 179:S 175:n 157:) 151:2 147:) 143:3 137:K 134:( 129:4 126:1 121:+ 116:2 112:S 107:( 101:6 98:n 93:= 88:B 85:J 20:)

Index

Jarque-Bera test
statistics
goodness-of-fit
skewness
kurtosis
normal distribution
Carlos Jarque
Anil K. Bera
test statistic
skewness
kurtosis
central moments
mean
variance
asymptotically
chi-squared distribution
degrees of freedom
test
normal distribution
null hypothesis
excess kurtosis
p-values
uniform distribution
right-skewed
unimodal distribution
Type I error
Monte Carlo simulation
Matlab
MATLAB
Monte Carlo simulations

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