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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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Multivariate Bonferroni-Type Inequalities

bounds using Hamilton circuits. The first half of the book describes basic concepts and methods in probability inequalities. The author;

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Multivariate Bonferroni-Type Inequalities

bounds using Hamilton circuits. The first half of the book describes basic concepts and methods in probability inequalities. The author;

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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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Computation of Multivariate Normal and t Probabilities

methods for accurate and efficient computation of the required probability values for problems with two or more variables. The book discusses;

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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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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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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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Probability and Statistics

This book offers an introduction to concepts of probability theory, probability distributions relevant in the applied sciences, as well as;

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Introduction to Probability and Statistics

Beginning with the historical background of probability theory, this thoroughly revised text examines all important aspects of mathematical;

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Introduction to Probability and Statistics

Beginning with the historical background of probability theory, this thoroughly revised text examines all important aspects of mathematical;

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Approximation By Multivariate Singular Integrals

, probability, statistics and partial differential equations. This book is appropriate for researchers and selected seminars at the graduate level.;

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Understanding Multivariate Research

and higher education. All topics are developed without relying on the mathematical language of probability theory and statistical inference;

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Understanding Multivariate Research

and higher education. All topics are developed without relying on the mathematical language of probability theory and statistical inference;

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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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Fundamental Probability

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

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Nonlinear Statistical Models

A comprehensive text and reference bringing together advances in the theory of probability and statistics and relating them to applications;

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Probability & Random Processes for Engineers

Probability and Random Processes for Engineers is a textbook for courses related to probability and random processes for engineering;

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Pattern Recognition and Machine Learning

that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability;

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Linear Model Theory

needs a basic knowledge of statistics, probability, and inference, as well as a solid background in matrix theory and applied univariate linear;

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Statistical Methods in Econometrics

foundations of probability and statistical theory are developed for application to econometric methodology. Because econometrics generally requires;

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A Multivariate Claim Count Model for Applications in Insurance

. Graduate-level probability theory, stochastic analysis and statistics are required.;

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BAYESIAN INFERENCE

. Topics covered include the central field of statistical inference as well as applications to areas of probability theory, information theory;

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GARCH Models

the most advanced results concerning the theory and practical aspects of GARCH. The probability structure of standard GARCH models is studied;

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Multivariate Approximation

of classes with mixed smoothness are closely related to (in some cases equivalent to) the Small Ball Problem from probability theory. The useful;

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Elements of Concave Analysis and Applications

elementary probability theory.;

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Essays in Probability and Statistics

This collection of thirty-nine original papers covers a variety of important topics, including multi;...

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