1 |
Anderson, T. W. and Darling, D. A. (1952). Asymptotic theory of certain "goodness of fit" criteria based on stochastic processes, The Annals of Mathematical Statistics, 23, 193-212.
DOI
|
2 |
Anderson, T. W. and Darling, D. A. (1954). A test of goodness of fit, Journal of the American Statistical Association, 49, 765-769.
DOI
|
3 |
Anderson, T. W. (1962). On the distribution of the two-sample Cramer-von Mises criterion, The Annals of Mathematical Statistics, 33, 1148-1159.
DOI
|
4 |
D'Agostino, R. B. and Stephens, M. A. (1986). Goodness-of-fit techniques, Statistics, a Series of Textbooks and Monographs, 68, Marcel Dekker Inc., New York.
|
5 |
Gnanadesikan, R. and Kettenring, J. R. (1972). Robust estimates, residuals, and outlier detection with multiresponse data, Biometrics, 28, 81-124.
DOI
|
6 |
Gnanadesikan, R., Kettenring, J. R., and Landwehr, J. M. (1977). Interpreting and assessing the results of cluster analyses, Bulletin of the International Statistical Institute, 47, 451-463.
|
7 |
Hong, C. S., Park, J., and Park, Y. H. (2017). Multivariate empirical distribution functions and descriptive methods, Journal of the Korean Data & Information Science Society, 28, 87-98.
DOI
|
8 |
Justel, A., Pena, D., and Zamar, R. (1997). A multivariate Kolmogorov-Smirnov test of goodness of fit, Statistics & Probability Letters, 35, 251-259.
DOI
|
9 |
Kim, N. H. (2004). An approximate Shapiro-Wilk statistic for testing multivariate normality, The Korean Journal of Applied Statistics, 17, 35-47.
DOI
|
10 |
Kim, N. H. (2005). The limit distribution of an invariant test statistic for multivariate normality, Communications for Statistical Applications and Methods, 12, 71-86.
DOI
|
11 |
Kim, N. H. (2006). Testing multivariate normality based on EDF statistics, The Korean Journal of Applied Statistics, 19, 241-256.
DOI
|
12 |
Kolmogorov, A. N. (1933). Sulla determinazione empirica di una legge di distribuzione, Giornale dell'Instuto Italiano degli Attuari, 4, 83-91.
|
13 |
Moore, D. S. and Stubblebine, J. B. (1981). Chi-square tests for multivariate normality with application to common stock prices, Communications in Statistics-Theory and Methods, 10, 713-738.
DOI
|
14 |
Kuiper, N. H. (1960). Tests concerning random points on a circle. In Proceedings of the Koninklijke Nederlandse Akademie van Wetenschappen, Series A, 63, 38-47.
|
15 |
Malkovich, J. F. and A, A. A. (1973). On tests for multivariate normality, Journal of the American Statistical Association, 68, 176-179.
DOI
|
16 |
Meintanis, S. G. and Hlavka, Z. (2010). Goodness-of-fit tests for bivariate and multivariate skew-normal distributions, Scandinavian Journal of Statistics, 37, 701-714.
DOI
|
17 |
Singh, A. (1993). Omnibus robust procedures for assessment of multivariate normality and detection of multivariate outliers, Multivariate environmental statistics, North-Holland, Amsterdam, 445-488.
|
18 |
Rosenblatt, M. (1952). Remarks on a multivariate transformation, The Annals of Mathematical Statistics, 23, 470-472.
DOI
|
19 |
Roy, S. N. (1953). On a heuristic method of test construction and its use in multivariate analysis, The Annals of Mathematical Statistics, 24, 220-238.
DOI
|
20 |
Royston, J. P. (1983). Some techniques for assessing multivariate normality based on the Shapiro-Wilk W, Journal of the Royal Statistical Society. Series C (Applied Statistics), 32, 121-133.
|
21 |
Smirnov, N. V. (1933). Estimate of deviation between empirical distribution functions in two independent samples, Bulletin Moscow University, 2, 3-16.
|
22 |
Koziol, J. A. (1982). A class of invariant procedures for assessing multivariate normality, Biometrika, 69, 423-427.
DOI
|
23 |
Stephens, M. A. (1965). The goodness-of-fit statistic : Distribution and significance points, Biometrika, 52, 309-321.
|
24 |
Thode, H. C. (2002). Testing for Normality, Marcel Dekker Inc., New York, 164.
|
25 |
Watson, G. S. (1961). Goodness-of-fit tests on a circle, Biometrika, 48, 109-114.
DOI
|
26 |
Zhu, L. X., Fang, K. T., and Bhatti, M. I. (1997). On estimated projection pursuit-type cramer-von mises statistics, Journal of Multivariate Analysis, 63, 1-14.
DOI
|