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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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Probability and Statistics

covers applied topics such as model building and experiment design. Contents Random phenomena Probability Random variables Expected;

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Multivariate Probability

This book is a comprehensive guide to multivariate probability for students who have an elementary knowledge of probability and are ready;

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Fundamental Probability

Probability is a vital measure in numerous disciplines, from bioinformatics and econometrics to finance/insurance and computer science;

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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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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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Introduction to Probability and Statistics

probability - including random variables, probability distributions, characteristic and generating functions, stochatic convergence, and limit;

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Introduction to Probability and Statistics

probability - including random variables, probability distributions, characteristic and generating functions, stochatic convergence, and limit;

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Introductory Statistical Inference

This gracefully organized text reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using;

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Introductory Statistical Inference

This gracefully organized text reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using;

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Introduction to Probability with Mathematica

probability and continuous distributions, including normal, bivariate normal, gamma, and chi-square distributions. The author goes on to examine the;

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Introduction to Probability with Mathematica

probability and continuous distributions, including normal, bivariate normal, gamma, and chi-square distributions. The author goes on to examine the;

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Intermediate Probability

Intermediate Probability is the natural extension of the author's Fundamental Probability. It details several highly important topics, from;

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Finite Mathematics Mod & Aplicati Set

; Simplex Methods; Application Models; Set and Probability Relationships; Random Variables and Probability Distributions; Markov Chains;

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Probability And Statistics For Finance

A comprehensive look at how probability and statistics is applied to the investment process Finance has become increasingly more;

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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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Introduction to Multivariate Analysis

This book provides an introduction to the analysis of multivariate data.It describes multivariate probability distributions, the;

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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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Univariate Discrete Distributions

Discrete Distributions provides a self-contained, systematic treatment of the theory, derivation, and application of probability distributions for;

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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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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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The Skew-Normal and Related Families

, will be the standard resource for statisticians and applied researchers. Assuming only basic knowledge of (non-measure-theoretic) probability;

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Institute of Mathematical Statistics Monographs

, will be the standard resource for statisticians and applied researchers. Assuming only basic knowledge of (non-measure-theoretic) probability;

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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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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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Pareto Distributions

computer-based inference methods. Pareto Distributions, Second Edition provides broad, up-to-date coverage of the Pareto model and its extensions;

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Pareto Distributions

computer-based inference methods. Pareto Distributions, Second Edition provides broad, up-to-date coverage of the Pareto model and its extensions;

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