First Look at Rigorous Probability Theory 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Jeffrey S. Rosenthal 作者

World Scientific Publishing Company

译者

2006-11-14 出版日期

236 页数

USD 31.00 价格

Paperback

丛书系列

9789812703712 图书编码

First Look at Rigorous Probability Theory 在线电子书图书标签: Probability 数学概率论概率 Statistics Math 概率论与数理统计教材

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First Look at Rigorous Probability Theory 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

First Look at Rigorous Probability Theory 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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worth to buy one!

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worth to buy one!

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Very good display of probability using measure

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worth to buy one!

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worth to buy one!

First Look at Rigorous Probability Theory 在线电子书著者简介

First Look at Rigorous Probability Theory 在线电子书图书目录

First Look at Rigorous Probability Theory 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

First Look at Rigorous Probability Theory 在线电子书图书描述

This textbook is an introduction to probability theory using measure theory. It is designed for graduate students in a variety of fields (mathematics, statistics, economics, management, finance, computer science, and engineering) who require a working knowledge of probability theory that is mathematically precise, but without excessive technicalities. The text provides complete proofs of all the essential introductory results. Nevertheless, the treatment is focused and accessible, with the measure theory and mathematical details presented in terms of intuitive probabilistic concepts, rather than as separate, imposing subjects. In this new edition, many exercises and small additional topics have been added and existing ones expanded. The text strikes an appropriate balance, rigorously developing probability theory while avoiding unnecessary detail.

Contents: The Need for Measure Theory Probability Triples Further Probabilistic Foundations Expected Values Inequalities and Convergence Distributions of Random Variables Stochastic Processes and Gambling Games Discrete Markov Chains More Probability Theorems Weak Convergence Characteristic Functions Decomposition of Probability Laws Conditional Probability and Expectation Martingales General Stochastic Processes

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