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Statistical Independence in Probability, Analysis and Number Theory

This concise monograph in probability by Mark Kac, a well-known mathematician, presumes a familiarity with Lebesgue's theory of measure and;

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Levy Processes, Integral Equations, Statistical Physics: Connections and Interactions

In a number of famous works, M. Kac showed that various methods of probability theory can be fruitfully applied to important problems;

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Introduction to Probability Theory and Statistical Inference

Discusses probability theory and to many methods used in problems of statistical inference. The Third Edition features material on;

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Probability And Statistics For Economists

algebra, probability and statistics are indispensable mathematical tools in economics. Statistical inference in economics, namely econometric;

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First Course In Probability And Statistics, A

number of solved examples and chapter-end exercises designed to reinforce the probability theory and emphasize statistical applications.;

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First Course In Probability And Statistics, A

number of solved examples and chapter-end exercises designed to reinforce the probability theory and emphasize statistical applications.;

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Probability Theory and Mathematical Statistics for Engineers

Probability Theory and Statistical Methods for Engineers brings together probability theory with the more practical applications;

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Probability Theory and Mathematical Statistics for Engineers

Probability Theory and Statistical Methods for Engineers brings together probability theory with the more practical applications;

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Statistics

, skewness and kurtosis, curve fitting, correlation and regression analysis, theory of probability, probability distributions, sampling theory;

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Sojourns in Probability Theory and Statistical Physics - II

Charles M. (Chuck) Newman has been a leader in Probability Theory and Statistical Physics for nearly half a century. This three-volume set;

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Difference Equations and Inequalities

in probability theory, queuing and statistical problems, stochastic time series, combinatorial analysis, number theory, geometry, electrical networks;

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Difference Equations and Inequalities

in probability theory, queuing and statistical problems, stochastic time series, combinatorial analysis, number theory, geometry, electrical networks;

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Probability Theory

1963 publication, this volume served as the standard advanced text in probability theory. Geared toward graduate students and professionals;

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Functional Integrals

of fields of modern mathematics, such as analysis, the theory of differential and integral equations, probability theory and the theory of random;

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Measuring Statistical Evidence Using Relative Belief

roles of subjectivity, objectivity, infinity, and utility in statistical analyses. It next discusses the meaning of probability and the various;

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Measuring Statistical Evidence Using Relative Belief

of subjectivity, objectivity, infinity, and utility in statistical analyses. It next discusses the meaning of probability and the various positions taken;

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Probability and Conditional Expectation

Probability and Conditional Expectations bridges the gap between books on probability theory and statistics by providing the probabilistic;

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Operational Subjective Statistical Methods

Subjective Statistical Methods offers a systematic investigation of Bruno de Finetti's theory of probability and logic of uncertainty, which;

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Probability and Statistical Inference

Probability and Statistical Inference: From Basic Principles to Advanced Models covers aspects of probability, distribution theory, and;

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Probability and Statistical Inference

Probability and Statistical Inference: From Basic Principles to Advanced Models covers aspects of probability, distribution theory, and;

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Probability The Classical Limit Theorems

in some sense universal. This universality is predicted by probability theory to a remarkable degree. This book explains that theory and;

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Probability: The Classical Limit Theorems

in some sense universal. This universality is predicted by probability theory to a remarkable degree. This book explains that theory and;

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Probability And Number Theory -- Kanazawa 2005

This volume is the Proceedings of the international conference on Probability and Number Theory held at Kanazawa, Japan, in June 2005, and;

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Examples and Problems in Mathematical Statistics

, confidence and tolerance intervals, large sample theory, and Bayesian analysis Recommended for graduate-level courses in probability and statistical;

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Mathematical Statistics: A Textbook

feature of the book. Coverage of Regression Analysis in a text book of statistical methodology is also a new feature of the book. A large number;

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First Course in Probability

A First Course in Probability, Ninth Edition, features clear and intuitive explanations of the mathematics of probability theory;

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Fundamentals of Calculus and Probability

not recently. The book is an assortment of topics related to basic mathematical and statistical analysis. It starts with a discussion of the;

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