Bibliographic Information

Continuous multivariate distributions

(Wiley series in probability and mathematical statistics, . Applied probability and statistics section)

Wiley, c2000-

2nd ed. / Samuel Kotz, N. Balakrishnan, Norman L. Johnson

  • v. 1

Available at  / 78 libraries

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Note

"A Wiley-Interscience publication"

"Fifth volume in the second edition of the collection of four books on Distributions in statistics coauthored by Norman L. Johnson and Samuel Kotz and published in 1969-1972."--Preface

Includes bibliographies and indexes

Contents of Works

  • v. 1. Models and applications

Description and Table of Contents

Description

Continuous Multivariate Distributions, Volume 1, Second Edition provides a remarkably comprehensive, self-contained resource for this critical statistical area. It covers all significant advances that have occurred in the field over the past quarter century in the theory, methodology, inferential procedures, computational and simulational aspects, and applications of continuous multivariate distributions. In-depth coverage includes MV systems of distributions, MV normal, MV exponential, MV extreme value, MV beta, MV gamma, MV logistic, MV Liouville, and MV Pareto distributions, as well as MV natural exponential families, which have grown immensely since the 1970s. Each distribution is presented in its own chapter along with descriptions of real-world applications gleaned from the current literature on continuous multivariate distributions and their applications.

Table of Contents

Systems of Continuous Multivariate Distributions. Multivariate Normal Distributions. Bivariate and Trivariate Normal Distributions. Multivariate Exponential Distributions. Multivariate Gamma Distributions. Dirichlet and Inverted Dirichlet Distributions. Multivariate Liouville Distributions. Multivariate Logistic Distributions. Multivariate Pareto Distributions. Bivariate and Multivariate Extreme Value Distributions. Natural Exponential Families. Indexes.

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