On a formula for the distribution of the maximum likelihood estimator

[1]  C. D. Litton,et al.  Theory of Probability (3rd Edition) , 1984 .

[2]  Steen A. Andersson,et al.  Distributions of Maximal Invariants Using Quotient Measures , 1982 .

[3]  O. Barndorff-Nielsen,et al.  Exponential transformation models , 1982, Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences.

[4]  Norman E. Breslow,et al.  Odds ratio estimators when the data are sparse , 1981 .

[5]  D. Fraser,et al.  Inference and Linear Models. , 1981 .

[6]  G. Gabor,et al.  Another Look at Fisher's Solution to the Problem of the Weighted Mean , 1981 .

[7]  James Durbin,et al.  Approximations for densities of sufficient estimators , 1981 .

[8]  J. Durbin.  The approximate distribution of partial serial correlation coefficients calculated from residuals from regression on Fourier series , 1980 .

[9]  H. Daniels.  Exact saddlepoint approximations , 1980 .

[10]  D. Hinkley.  Likelihood as approximate pivotal distribution , 1980 .

[11]  Robb J. Muirhead,et al.  Latent Roots and Matrix Variates: A Review of Some Asymptotic Results , 1978 .

[12]  A. Barut,et al.  Theory of group representations and applications , 1977 .

[13]  Steen A. Andersson,et al.  Invariant Normal Models , 1975 .

[14]  R. W. Wedderburn.  Quasi-likelihood functions, generalized linear models, and the Gauss-Newton method , 1974 .

[15]  O. Barndorff-Nielsen.  Information And Exponential Families , 1970 .

[16]  D. Fraser,et al.  The Structure of Inference. , 1969 .

[17]  G. Barnard.  Some Logical Aspects of the Fiducial Argument , 1963 .

[18]  M. Tweedie.  Statistical Properties of Inverse Gaussian Distributions. II , 1957 .

[19]  H. Daniels.  Saddlepoint Approximations in Statistics , 1954 .

[20]  J. Neyman,et al.  Consistent Estimates Based on Partially Consistent Observations , 1948 .

[21]  M. S. Bartlett,et al.  The information available in small samples , 1936, Mathematical Proceedings of the Cambridge Philosophical Society.

[22]  R. Fisher.  Two New Properties of Mathematical Likelihood , 1934 .