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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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Copulae and Multivariate Probability Distributions in Finance

in the area of copulae as applied to finance and related subjects such as insurance. Multivariate non-Gaussian dependence is a fact of life for;

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Shrinkage Estimation

statistical properties. The book focuses primarily on point and loss estimation of the mean vector of multivariate normal and spherically symmetric;

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Pareto Distributions

Since the publication of the first edition over 30 years ago, the literature related to Pareto distributions has flourished to encompass;

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Pareto Distributions

Since the publication of the first edition over 30 years ago, the literature related to Pareto distributions has flourished to encompass;

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Applied Multivariate Analysis

as well as related models and applications. Starting with a look at practical elements of matrix theory, the text proceeds to;

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Discrete Multivariate Distributions

advances that have occurred in the field over the past quarter century in the theory, methodology, computational procedures, and applications;

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Continuous Multivariate Distributions

, methodology, inferential procedures, computational and simulational aspects, and applications of continuous multivariate distributions. In-depth;

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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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Limit Distributions for Sums of Independent Random Vectors

functions, and Borel Measures Multivariate limit theorems: limit distributions, central limit theorems, and related limit theorems Real-world;

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Multivariate, Multilinear and Mixed Linear Models

topics related to estimation and testing of multivariate and mixed linear model parameters. Starting with the theory of multivariate;

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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 Families with Mixture Dependence

class of distributions and, in particular, to the rich class of the exponential dispersion family (EDF). Special attention is paid to the;

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Pioneering Works on Distribution Theory

random permutations. Also included are distributions associated with orthogonal polynomials with a symmetric matrix argument and the;

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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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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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Multivariate T-Distributions and Their Applications

serious researcher or consultant working in multivariate analysis and statistical distributions. Much of this material has never before appeared;

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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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Student's t-Distribution and Related Stochastic Processes

copulas and the related analogue of Sklar's theorem are explained.;

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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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Aspects of Multivariate Statistical Theory

increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by;

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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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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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Multivariate Analyses of Codon Usage Biases

evolutionary mechanisms acting at the molecular level. They are either mutationnal (symmetric and asymmetric directionnal mutation pressure) or;

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Probability and Statistics

basics of sampling distributions, estimation and hypothesis testing. As a companion for classes for engineers and scientists, the book also;

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Bilinear Regression Analysis

comprising the classical growth curve model and its extensions. In order to analyze the bilinear regression models in an interpretable way, concepts;

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