Contributions to Probability and Statistics

Gleser, Leon Jay; Perlman, Michael D.; Press, S. James; Sampson, Allan R.

Contributions to Probability and Statistics

Edited by Leon Jay Gleser, Michael D. Perlman, S. James Press and Allan R. Sampson

in Springer Books from Springer

Date: 1989
ISBN: 978-1-4612-3678-8
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Chapters in this book:

A Brief Biography and Appreciation of Ingram Olkin: Leon Jay Gleser, Michael D. Perlman, S. James Press and Allan R. Sampson
A Conversation with Ingram Olkin: Leon Jay Gleser, Michael D. Perlman, S. James Press and Allan R. Sampson
Bibliography of Ingram Olkin: Leon Jay Gleser, Michael D. Perlman, S. James Press and Allan R. Sampson
A Convolution Inequality: Gavin Brown and Larry Shepp
Peakedness of Weighted Averages of Jointly Distributed Random Variables: Wai Chan, Dong Ho Park and Frank Proschan
Multivariate Majorization: Somesh Das Gupta and Subir Kumar Bhandari
Some Results on Convolutions and a Statistical Application: M. L. Eaton and L. J. Gleser
The X + Y, X/Y Characterization of the Gamma Distribution: George Marsaglia
A Bivariate Uniform Distribution: Albert W. Marshall
Multinomial Problems in Geometric Probability with Dirichlet Analysis: Milton Sobel
Probability Inequalities for n-Dimensional Rectangles via Multivariate Majorization: Y. L. Tong
Minimum Majorization Decomposition: Joseph S. Verducci
The Asymptotic Distribution of Characteristic Roots and Vectors in Multivariate Components of Variance: T. W. Anderson
Univariate and Multivariate Analyses of Variance for Incomplete Factorial Experiments Having Monotone Structure in Treatments: R. P. Bhargava
The Limiting Distribution of the Rank Correlation Coefficient $${R_g}$$: Rudy A. Gideon, Michael J. Prentice and Ronald Pyke
Mean and Variance of Sample Size in Multivariate Heteroscedastic Method: Hiroto Hyakutake and Minoru Siotani
A Comparative Study of Cluster Analysis and MANCOVA in the Analysis of Mathematics Achievement Data: J. E. Lockley
Bayesian Inference in Factor Analysis: S. James Press and K. Shigemasu
Computational Aspects of Association for Bivariate Discrete Distributions: Allan R. Sampson and Lyn R. Whitaker
A Comparison of the Performances of Procedures for Selecting the Normal Population Having the Largest Mean when the Variances are Known and Equal: Robert E. Bechhofer and David M. Goldsman
Parametric Empirical Bayes Rules for Selecting the Most Probable Multinomial Event: Shanti S. Gupta and TaChen Liang
Bayesian Estimation in Two-Way Tables With Heterogeneous Variances: Irwin Guttman and Ulrich Menzefricke
Calibrating For Differences: George Knafl, Jerome Sacks and Cliff Spiegelman
Complete Class Results For Linear Regression Designs Over The Multi-Dimensional Cube: Friedrich Pukelsheim
A Unified Method of Estimation in Linear Models with Mixed Effects: C. Radhakrishna Rao
Shrinking Techniques for Robust Regression: Richard L. Schmoyer and Steven F. Arnold
Asymptotic Mean Squared Error of Shrinkage Estimators: T. W. F. Stroud
Likelihood Analysis of a Binomial Sample Size Problem: Murray Aitkin and Mikis Stasinopoulos
Truncation, Information, and the Coefficient of Variation: M. J. Bayarri, M. H. DeGroot and P. K. Goel
Asymptotic Error Bounds for Power Approximations to Multinomial Tests of Fit: F. C. Drost, W. C. M. Kallenberg, D. S. Moore and J. Oosterhoff
Estimating the Normal Mean and Variance Under A Publication Selection Model: Larry V. Hedges
Estimating Poisson Error Rates When Debugging Software: Gerald J. Lieberman and Sheldon M. Ross
A Comparison of Likelihood Ratio, Wald, and Rao Tests: Albert Madansky
On the Inadmissibility of the Modified Step-Down Test Based on Fisher’s Method For Combining Independentp-Values: John I. Marden and Michael D. Perlman
On A Statistical Problem Involving the Measurement of Strength and Duration-of-Load for Construction Materials: Sam C. Saunders
Likelihood Analysis of a Binomial Sample Size Problem: Murray Aitkin and Mikis Stasinopoulos

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DOI: 10.1007/978-1-4612-3678-8

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