Introduction to Probability Models, Ninth Edition 2025 pdf epub mobi 电子书

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发表于2025-03-17

Introduction to Probability Models, Ninth Edition 2025 pdf epub mobi 电子书

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Introduction to Probability Models, Ninth Edition 电子书读后感

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书中的例子很多，容易理解，数学书能够做到这一步就非常好了。这本书还是北美精算师考试的推荐教材。翻译的不大认真，条件状语从句在翻译时没有提前，没有英语语法基础的会读着比较混沌。建议看不大明白的去原版

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本书作为随即过程的入门教材，结合概率模型进行理解，很好。不过不是想国内偏理论的书从测度论和空间严格开写。而是把重点放在了概念和解释概念上，实用。所以书中有大量的例子，这也是国外书的一大特点，易懂，但不简单。Ross的这些方面的书都比较经典。PS：书中好多例子是关...

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书是好书，但翻译必须吐槽。 P174 “如果生产过程称为处于‘上’，当它在一个可接受的状态；而称为处于‘下’，当它在一个不可接受的状态” 我觉得微软小冰都比这个翻译的好。 P178 “用它能得到对以马尔科夫链的相继状态构成的数据，计算直至某个指定模式出现的平均时间” ...

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一本大牛写的好书翻译成这样，每一句基本感觉都只是直接照着原文变换一下，倒更像是SMT翻译的结果. 真是糟蹋. 现在这些导师翻译书，随便找几个学生敷衍了事，翻译的都不通顺，罢了，找原著吧. 龚光鲁，记住它！

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虽说数学书的好坏一个方面要看其例题但这里的例题实在是太全了从保险到计算机，很难想象仅凭数学知识能理解这本书的内容明显是ROSS那本随机过程的一个扩充本我敢说谁把这书弄透那本科概率论与随机过程就算是无敌了～～～～总之是本好书

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出版者:Academic Press

作者:Sheldon M. Ross

出品人:

页数:800

译者:

出版时间:2006-12-5

价格:USD 99.95

装帧:Hardcover

isbn号码:9780125980623

丛书系列:

图书标签: 数学概率 probability 概率模型随机分析 Math 金融数学统计

Introduction to Probability Models, Ninth Edition 2025 pdf epub mobi 电子书图书描述

Ross' classic bestseller, "Introduction to Probability Models", has been used extensively by professionals and as the primary text for a first undergraduate course in applied probability. It provides an introduction to elementary probability theory and stochastic processes, and shows how probability theory can be applied to the study of phenomena in fields such as engineering, computer science, management science, the physical and social sciences, and operations research. With the addition of several new sections relating to actuaries, this text is highly recommended by the Society of Actuaries. A new section (3.7) on Compound Random Variables, that can be used to establish a recursive formula for computing probability mass functions for a variety of common compounding distributions. A new section (4.11) on Hidden Markov Chains, including the forward and backward approaches for computing the joint probability mass function of the signals, as well as the Viterbi algorithm for determining the most likely sequence of states. It is a simplified approach for analyzing Nonhomogeneous Poisson processes. Additional results on queues relating to the conditional distribution of the number found by an M/M/1 arrival who spends a time t in the system; inspection paradox for M/M/1 queues; and M/G/1 queue with server breakdown. There are also many new examples and exercises.

Introduction to Probability Models, Ninth Edition 2025 pdf epub mobi 电子书

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