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The reference on stable distributions

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Stable Non-Gaussian Random Processes

This book presents similarity between Gaussian and non-Gaussian stable multivariate distributions and introduces the one-dimensional stable;

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Handbook on Univariate Statistical Distributions

Univariate statistical distributions, with their basic properties, are an important part of advance statistics. The Handbook on Univariate;

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Levy Processes And Infinitely Divisible Distributions

Levy processes are rich mathematical objects and constitute perhaps the most basic class of stochastic processes with a continuous time;

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Levy Processes and Infinitely Divisible Distributions

Levy processes are rich mathematical objects and constitute perhaps the most basic class of stochastic processes with a continuous time;

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Discrete Multivariate Distributions

chapter, along with necessary details and descriptions of real-world applications gleaned from the current literature on discrete multivariate;

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CRC Handbook of Percentiles of Non-Central t-Distributions

limits on quantiles, confidence limits on proportions, sample coefficient of variation and in computing the power of t-test.;

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Stable Paretian Models in Finance

The authors reconsider the problem of parametrically specifying distribution suitable for asset--return models. They describe alternative;

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Handbook of Heavy Tailed Distributions in Finance

> This volume presents current research focusing on heavy tailed distributions in finance. The contributions cover methodological;

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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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Bivariate Discrete Distributions

This useful reference/text provides a comprehensive study of the various bivariate discretedistributions that have appeared in the;

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Bivariate Discrete Distributions

This useful reference/text provides a comprehensive study of the various bivariate discretedistributions that have appeared in the;

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Systems of Frequency Distributions for Water and Environmental Engineering

systems. The latter chapters focus on the Singh system and the frequency distributions deduced from Bessel functions, maximum entropy theory, and;

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Univariate Discrete Distributions

continues to be placed on the increasing relevance of Bayesian inference to discrete distribution, especially with regard to the binomial and;

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Combinatorial Methods in Discrete Distributions

deeper understanding of theory by using applications to solve problems. The author makes extensive use of the reduction approach to conditional;

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Limit Distributions for Sums of Independent Random Vectors

, authors Meerschaert and Scheffler have produced an accessible reference that treats the central limit theory honestly and focuses on multivariate;

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Applied Multivariate Analysis

models; control in the multivariate linear model; and structuring multivariate populations, with particular focus on multidimensional scaling and;

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Metabolic Analysis Using Stable Isotopes

>Continues the legacy of this premier serial with quality chapters on metabolic analysis using stable isotopes Represents the newest volume;

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Discrete Distributions

models. Provides an overview of discrete distributions and their applications in the health sciences. Focuses on real examples, giving readers;

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Probability - The Science of Uncertainty

This book covers the basic probability of distributions with an emphasis on applications from the areas of investments, insurance, and;

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Finite Mixture of Skewed Distributions

mixtures of skew normal distributions (SMSN). For this purpose, the authors consider maximum likelihood estimation for univariate and multivariate;

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Noncommutative Distributions

Covering important aspects of the theory of unitary representations of nuclear Lie groups, this self-contained reference presents the;

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Linear Models and the Relevant Distributions and Matrix Algebra

on linear models, or a resource used (in a course on mathematical statistics) to illustrate various theoretical concepts in the context of a;

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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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Goodness-of-Fit-Techniques

for specific famous distributions, this useful reference is the first comprehensive review of the extensive literature on the subject. It;

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Goodness-Of-Fit Techniques

for specific famous distributions, this useful reference is the first comprehensive review of the extensive literature on the subject. It;

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Probability and Statistics in Experimental Physics

undergraduates. It is intended as a practical guide, not as a comprehensive text in probability and statistics. The emphasis is on applications and;

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