1 |
Ha, H. T. and Provost, S. B. (2007). A viable alternative to resorting to statistical tables, Communica-tion in Statistics: Simulation and Computation, 36, 1135-1151
DOI
ScienceOn
|
2 |
Johnson, N. L., Kotz, S. and Balakrishnan, N. (1995). Continuous Univariate Distributions, John Wiley & Sons, New York
|
3 |
Kolassa, J. E. (2003). Multivariate saddlepoint tail probability approximations, The Annals of Statistics, 31, 274-286
DOI
ScienceOn
|
4 |
Neyman, J. and Pearson, E. S. (1931). On the problem of k-samples, Bulletin of Academic Polonaise Science Letters, 3, 460-481
|
5 |
Provost, S. B. and Rudiuk, E. M. (1995). Moments and densities of test statistics for covariance structures, International Journal of Mathematical and Statistical Sciences, 4, 85-104
|
6 |
Reid, N. (1988). Saddlepoint methods and statistical inference, Statistical Science, 3, 213-227
DOI
ScienceOn
|
7 |
Tretter, M. J. and Walster, G. W. (1975). Central and noncentral distributions of Wilks’ statistic in Manova as mixtures of incomplete Beta functions, The Annals of Statistics, 3, 467-472
DOI
|
8 |
Barlow, R. E., Bartholomew, D. J., Bremner, J. M. and Brunk, H. D. (1972). Statistical Inference under Order Restrictions, John Wiley & Sons, London
|
9 |
Bhattacharya, C. G. (1967). A simple method of resolution of a distribution into Gaussian compo-nents, Biometrics, 23, 115-135
DOI
ScienceOn
|
10 |
Butler, R. W. and Wood, A. T. A. (2002). Laplace approximations for hypergeometric functions with matrix argument, The Annals of Statistics, 30, 1155-1177
DOI
ScienceOn
|
11 |
Gupta, A. K. and Rathie, A. K. (1982). Distribution of the likelihood ratio criterion for the problem of K samples, Metron, 40, 147-156
|
12 |
Butler, R. W. and Wood, A. T. A. (2004). Mixture representations of noncentral distributions in multivariate analysis with application to a dimensional CLT, Scandinavian Journal of Statistics, 31, 631-650
DOI
|