Corrigendum to "Generalized Cramér-von Mises goodness-of-fit tests for multivariate distributions" [Comput. Statist. Data Anal. 53 (2009) 3817-3834] (DOI:10.1016/j.csda.2009.04.004);Generalized Cramér-von Mises goodness-of-fit tests for multivariate distributions

Computational Statistics and Data Analysis

Volumn 53, Issue 11, 2009, Pages 3817-3834

  Chiu, Sung Nok ^a   Liu, Kwong Ip ^a  

^a HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

SAMPLING; TESTING;

CONTINUOUS DISTRIBUTION; GOODNESS OF FIT; GOODNESS-OF-FIT TEST; JOINT DISTRIBUTIONS; KOLMOGOROV-SMIRNOV STATISTICS; MARGINAL DISTRIBUTION; MONTE CARLO TESTS; MULTIVARIATE DISTRIBUTIONS;

MONTE CARLO METHODS;

EID: 67349267793     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2009.09.013     Document Type: Erratum

References (29)

1. Anderson T.W., and Darling D.A. Asymptotic theory of certain "goodness of fit" criteria based on stochastic processes. The Annals of Mathematical Statistics 23 (1952) 193-212
2. Anderson T.W., and Darling D.A. A test of goodness of fit. Journal of The American Statistical Association 49 (1954) 765-769
3. Bera A., and John S. Tests for multivariate normality with Pearson alternatives. Communications in Statistics-Theory and Methods 12 (1983) 103-117
4. Darling D. On the asymptotic distribution of Watson's statistic. The Annals of Statistics 11 (1983) 1263-1266
5. Davidson R., and MacKinnon J.G. Graphical methods for investigating the size and power of hypothesis tests. The Manchester School 66 (1998) 1-26
6. Davison A.C., and Hinkley D.V. Bootstrap Methods and their Application (1997), Cambridge University Press, New York
7. Greenwood P.E., and Nikulin M.S. A Guide to Chi-Squared Testing (1996), John Wiley & Sons, New York
8. Hensler J.L., Mehrorta K.G., and Michalek J.E. A goodness of fit test for multivariate normality. Communications in Statistics-Theory and Methods 6 (1977) 33-41
9. Hickernell F.J. A generalized discrepancy and quadrature error bound. Mathematics of Computation 67 (1998) 299-322
10. Hickernell F.J. Lattice rules: How well do they measure up?. In: Hellekalek P., and Larcher G. (Eds). Random and Quasi-Random Point Sets. Lecture Notes in Statistics vol. 138 (1998), Springer-Verlag, New York 109-166
11. Hickernell F.J. Goodness of fit statistics, discrepancy and robust designs. Statistics & Probability Letters 44 (1999) 73-78
12. Hickernell F.J. What affects the accuracy of quasi-Monte Carlo quadrature?. In: Niederreiter H., and Spanier J. (Eds). Monte Carlo and Quasi-Monte Carlo Methods 1998 (1999), Springer-Verlag, Berlin 16-55
13. Ho L.P., and Chiu S.N. Testing uniformity of a spatial point pattern. Journal of Computational and Graphical Statistics 16 (2007) 378-398
14. Hope A.C.A. A simplified Monte Carlo significance test procedure. Journal of the Royal Statistical Society Series B (Methodological) 30 (1968) 582-598
15. Hua L., and Wang Y. Applications of Number Theory to Numerical Analysis (1981), Springer-Verlag, Berlin
16. Jager L., and Wellner J.A. Goodness-of-fit tests via phi-divergences. The Annals of Statistics 35 (2007) 2018-2053
17. Justel, A., 2007. Personal communication
18. Justel A., Peña D., and Zamar R. A multivariate Kolmogorov-Smirnov test of goodness of fit. Statistics & Probability Letters 35 (1997) 251-259
19. Liang J.J., Fang K.T., Hickernell F.J., and Li R. Testing multivariate uniformity and its applications. Mathematics of Computation 70 (2000) 337-355
20. Marriott F.H.C. Barnard's Monte Carlo tests: How many simulations?. Applied Statistics 28 (1979) 75-77
21. Mecklin C.J., and Mundfrom D.J. An appraisal and bibliography of tests for multivariate normality. International Statistical Review 72 (2004) 123-138
22. Niederreiter H. Random Number Generation and Quasi-Monte Carlo Methods (1992), SIAM, Philadelphia
23. Read T.R.C., and Cressie N.A.C. Goodness-of-fit Statistics for Discrete Multivariate Data (1988), Springer-Verlag, New York
24. Rincon-Gallardo S., and Quesenberry C.P. Testing multivariate normality using several samples: Applications and techniques. Communications in Statistics-Theory and Methods 11 (1982) 343-358
25. Rincon-Gallardo S., Quesenberry C.P., and O'Reilly F.J. Conditional probability integral transformations and goodness of fit tests for multivariate normal distributions. The Annals of Statistics 7 (1979) 1052-1057
26. Rosenblatt M. Remarks on a multivariate transformation. The Annals of Mathematical Statistics 23 (1952) 470-472
27. Warnock T.T. Computational investigations of low discrepancy point sets. In: Zaremba S.K. (Ed). Applications of Number Theory to Numerical Analysis (1972), Academic Press 319-343
28. Watson G.S. Goodness-of-fit tests on a circle. Biometrika 48 (1961) 109-114
29. Watson G.S. Optimal invariant tests for uniformity. In: William E.J. (Ed). Studies in Probability and Statistics, Papers in honour of E.J.G. Pitman (1976), North-Holland, Amsterdam 121-127