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Multivariate T-Distributions and Their Applications

Almost all the results available in the literature on multivariate t-distributions published in the last 50 years are now collected;

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Continuous Multivariate Distributions

distributions and their applications.;

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Discrete Multivariate Distributions

discrete multivariate distributions and their applications over the past quarter century. The only comprehensive, single-volume work on the;

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Applied Multivariate Analysis

Geared toward upper-level undergraduates and graduate students, this two-part treatment deals with the foundations of multivariate analysis;

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Limit Distributions for Sums of Independent Random Vectors

central limit theory of random vectors, which lies at the heart of probability and statistics. The authors develop the central limit theory;

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Multivariate Statistics

The book aims to present a wide range of the newest results on multivariate statistical models, distribution theory and applications;

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Pareto Distributions

problems of inference for Pareto models and their generalizations and extensions New discussions of bivariate and multivariate income and;

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Pareto Distributions

for Pareto models and their generalizations and extensions New discussions of bivariate and multivariate income and survival models This;

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Multivariate Families with Mixture Dependence

independent exponential distributions, by a mixture of their common scale parameter. The distribution of mixture parameter belongs to the general;

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Copulae and Multivariate Probability Distributions in Finance

Portfolio theory and much of asset pricing, as well as many empirical applications, depend on the use of multivariate probability;

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Multivariate Statistical Simulation

This book provides state-of-the-art coverage for the researcher confronted with designing and executing a simulation study using continuous;

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Matrix Variate Distributions

Useful in physics, economics, psychology, and other fields, random matrices play an important role in the study of multivariate statistical;

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Symmetric Multivariate and Related Distributions

Since the publication of the by now classical Johnson and Kotz Continuous Multivariate Distributions (Wiley, 1972) there have been;

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Introduction to Probability: Models and Applications

With a focus on models and tangible applications of probability from physics, computer science, and other related disciplines, this book;

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Univariate Discrete Distributions

This set contains: Continuous Multivariate Distributions, Volume 1 , Models and Applications, 2nd Edition by Samuel Kotz, N. Balakrishnan;

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Multivariate Analysis

A readable and user-friendly presentation of multivariate analysis A common and important statistical technique, multivariate analysis;

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Student's t-Distribution and Related Stochastic Processes

integration theory, a univariate, strictly stationary process with the centred Student's t- marginals and the arbitrary correlation structure are;

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Multivariate Statistical Inference And Applications

The most accessible introduction to the theory and practice of multivariate analysis Multivariate Statistical Inference and Applications;

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Finite Mixture of Skewed Distributions

classical symmetric distributions: the skew-t (ST), the skew-slash (SSL) and the skew-contaminated normal (SCN), for example. These distributions;

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Multivariate Models and Multivariate Dependence Concepts

This book on multivariate models, statistical inference, and data analysis contains deep coverage of multivariate non-normal distributions;

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CRC Handbook of Percentiles of Non-Central t-Distributions

in an easy-to-use format. The book presents a brief introductory section that outlines properties and applications of non-central t;

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A Primer on Statistical Distributions

Designed as an introduction to statistical distribution theory. Includes a first chapter on basic notations and definitions that are;

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Statistical Inference For Models With Multivariate T-Distrib

and t-models * Supplemented with an Instructor's Solutions Manual, which is available via written request by the Publisher;

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Applied Multivariate Statistics with R

accessible without lengthy mathematical derivations. Using the open source shareware program R, Dr. Zelterman demonstrates the process and outcomes;

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Multivariate, Multilinear and Mixed Linear Models

estimation in mixed linear models and their transformations. The results presented originate from the work of the research group Multivariate and;

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Multivariate Survival Analysis and Competing Risks

Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It;

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Multivariate Survival Analysis and Competing Risks

Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It;

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