Higher order approximations with generalized linear models
作者： D. A. S. Fraser , G. Monette , K. W. Ng , A. Wong
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sci-hub.se 参考文章(15)
D. R. Cox, N. Reid, Parameter Orthogonality and Approximate Conditional Inference Journal of the royal statistical society series b-methodological. ,vol. 49, pp. 1- 18 ,(1987) , 10.1111/J.2517-6161.1987.TB01422.X
Ronald A. Fisher, Statistical Methods and Scientific Inference ,(1973)
Peter McCullagh, John Ashworth Nelder, Generalized Linear Models ,(1983)
O. E. BARNDORFF-NIELSEN, Modified signed log likelihood ratio Biometrika. ,vol. 78, pp. 557- 563 ,(1991) , 10.1093/BIOMET/78.3.557
D. A. S. Fraser, Inference and linear models ,(1979)
H. E. Daniels, Saddlepoint Approximations in Statistics Annals of Mathematical Statistics. ,vol. 25, pp. 631- 650 ,(1954) , 10.1214/AOMS/1177728652
D.A.S. Fraser, Normed likelihood as saddlepoint approximation Journal of Multivariate Analysis. ,vol. 27, pp. 181- 193 ,(1988) , 10.1016/0047-259X(88)90124-8
D. A. S. FRASER, Tail probabilities from observed likelihoods Biometrika. ,vol. 77, pp. 65- 76 ,(1990) , 10.1093/BIOMET/77.1.65
Jerald F Lawless, Statistical Models and Methods for Lifetime Data ,(2002)
D. A. S. Fraser, The Structure of Inference. ,(1968)