Probability and Statistics with Reliability, Queuing, and Computer Science Applications 2nd Edition

An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications

This updated and revised edition of the popular classic relates fundamental concepts in probability and statistics to the computer sciences and engineering. The author uses Markov chains and other statistical tools to illustrate processes in reliability of computer systems and networks, fault tolerance, and performance.

This edition features an entirely new section on stochastic Petri nets?as well as new sections on system availability modeling, wireless system modeling, numerical solution techniques for Markov chains, and software reliability modeling, among other subjects. Extensive revisions take new developments in solution techniques and applications into account and bring this work totally up to date. It includes more than 200 worked examples and self-study exercises for each section.

Probability and Statistics with Reliability, Queuing and Computer Science Applications, Second Edition offers a comprehensive introduction to probability, stochastic processes, and statistics for students of computer science, electrical and computer engineering, and applied mathematics. Its wealth of practical examples and up-to-date information makes it an excellent resource for practitioners as well.

An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

一本關於機率、隨機過程和統計學在計算機科學和工程應用中的易懂入門書籍。

這本廣受歡迎的經典著作的更新和修訂版將機率和統計的基本概念與計算機科學和工程相關聯。作者使用馬可夫鏈和其他統計工具來說明計算機系統和網絡的可靠性、容錯能力和性能等過程。

這個版本新增了一個全新的章節，介紹了隨機Petri網絡，還包括系統可用性建模、無線系統建模、馬可夫鏈的數值解法技術和軟件可靠性建模等新的章節。全面修訂考慮了解決技術和應用的最新發展，使這本書完全更新。每個章節都包含200多個實例和自學習題。

《機率、隨機過程和統計學在可靠性、排隊和計算機科學應用中的應用》第二版為計算機科學、電氣和計算機工程以及應用數學專業的學生提供了全面的概率、隨機過程和統計學入門。豐富的實例和最新的信息使其成為從業人員的優秀資源。

書中提供了詳細解答所有問題的教師手冊，可從Wiley編輯部獲取。