Wald’s Method and Hsuan-Robson-Mirvaliev Test
作者： N. Balakrishnan , Vassilly Voinov , M.S Nikulin
DOI: 10.1016/B978-0-12-397194-4.00004-1
关键词: Statistics 、 Mathematics 、 Test (assessment)
摘要:
sci-hub.st 参考文章(31)
Richard A. Lockhart, Michael A. Stephens, Estimation and Tests of Fit for the Three-Parameter Weibull Distribution Journal of the Royal Statistical Society: Series B (Methodological). ,vol. 56, pp. 491- 500 ,(1994) , 10.1111/J.2517-6161.1994.TB01995.X
Mikhail Nikulin, Neige Aguirre, Chi-squared goodness-of-fit test for the family of logistic distributions Kybernetika. ,vol. 30, pp. 214- 222 ,(1994)
V. G. Voinov, M. S. Nikulin, Unbiased estimators and their applications International Encyclopedia of Statistical Science. pp. 1619- 1621 ,(1993) , 10.1007/978-94-011-1970-2
Vassilly Voinov, Roza Alloyarova, Natalie Pya, Recent Achievements in Modified Chi-Squared Goodness-of-Fit Testing Statistical Models and Methods for Biomedical and Technical Systems. pp. 241- 258 ,(2008) , 10.1007/978-0-8176-4619-6_18
Mikhail Nikulin, Accelerated Life Models ,(2019)
A M E Doma, Generalized Inverses of Matrices and Its Applications. ,(1983)
David S. Moore, M. C. Spruill, Unified Large-Sample Theory of General Chi-Squared Statistics for Tests of Fit Annals of Statistics. ,vol. 3, pp. 599- 616 ,(1975) , 10.1214/AOS/1176343125
Ram C. Dahiya, John Gurland, How Many Classes in the Pearson Chi-Square Test? Journal of the American Statistical Association. ,vol. 68, pp. 707- 712 ,(1973) , 10.1080/01621459.1973.10481409
H. B. Mann, A. Wald, On the Choice of the Number of Class Intervals in the Application of the Chi Square Test Annals of Mathematical Statistics. ,vol. 13, pp. 306- 317 ,(1942) , 10.1214/AOMS/1177731569
V. Voinov, N. Pya, R. Alloyarova, A Comparative Study of Some Modified Chi-Squared Tests Communications in Statistics - Simulation and Computation. ,vol. 38, pp. 355- 367 ,(2009) , 10.1080/03610910802501789