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Contributions to Probability and Statistics - Essays in Honor of Ingram Olkin (Paperback, Softcover reprint of the original 1st... Contributions to Probability and Statistics - Essays in Honor of Ingram Olkin (Paperback, Softcover reprint of the original 1st ed. 1989)
Leon J. Gleser, Michael D. Perlman, S.James Press, Allan R Sampson
R1,471 Discovery Miles 14 710 Ships in 18 - 22 working days

Published in honor of the sixty-fifth birthday of Professor Ingram Olkin of Stanford University. Part I contains a brief biography of Professor Olkin and an interview with him discussing his career and his research interests. Part II contains 32 technical papers written in Professor Olkin's honor by his collaborators, colleagues, and Ph.D. students. These original papers cover a wealth of topics in mathematical and applied statistics, including probability inequalities and characterizations, multivariate analysis and association, linear and nonlinear models, ranking and selection, experimental design, and approaches to statistical inference. The volume reflects the wide range of Professor Olkin's interests in and contributions to research in statistics, and provides an overview of new developments in these areas of research.

Applied Multivariate Analysis - Using Bayesian and Frequentist Methods of Inference (Paperback, 2nd edition): S.James Press Applied Multivariate Analysis - Using Bayesian and Frequentist Methods of Inference (Paperback, 2nd edition)
S.James Press
R831 R735 Discovery Miles 7 350 Save R96 (12%) Ships in 18 - 22 working days

Geared toward upper-level undergraduates and graduate students, this two-part treatment deals with the foundations of multivariate analysis as well as related models and applications. Starting with a look at practical elements of matrix theory, the text proceeds to discussions of continuous multivariate distributions, the normal distribution, and Bayesian inference; multivariate large sample distributions and approximations; the Wishart and other continuous multivariate distributions; and basic multivariate statistics in the normal distribution. The second half of the text moves from defining the basics to explaining models. Topics include regression and the analysis of variance; principal components; factor analysis and latent structure analysis; canonical correlations; stable portfolio analysis; classifications and discrimination models; control in the multivariate linear model; and structuring multivariate populations, with particular focus on multidimensional scaling and clustering. In addition to its value to professional statisticians, this volume may also prove helpful to teachers and researchers in those areas of behavioral and social sciences where multivariate statistics is heavily applied. This new edition features an appendix of answers to the exercises.

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