Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers, 4/e (IE-Paperback)
暫譯: 機率與隨機過程：電機與計算機工程師的友善入門，第4版 (IE-平裝本)
Roy D. Yates , David J. Goodman
- 出版商: Wiley
- 出版日期: 2025-01-01
- 定價: $1,480
- 售價: 9.8 折 $1,450
- 語言: 英文
- 頁數: 576
- ISBN: 1394304226
- ISBN-13: 9781394304226
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相關主題
商品描述
Probability and Stochastic Processes – A Friendly Introduction for Electrical and Computer Engineers, Fourth Edition serves as an accessible guide for engineering students delving into the realms of probability theory and stochastic processes.This text strikes a balance between rigorous mathematical exposition and clear, intuitive explanations, ensuring that students grasp the fundamental concepts essential for applying mathematics to real-world engineering challenges. Enhanced with the practical MATLAB applications. The book offers students valuable hands-on experienceto reinforce the theoretical material.
This International adaptation has been thoroughly revised and updated. Notably, it includes a new chapter on Probabilistic Inequalities and Bounds. The sections on Stochastic Processes and Sums of Random Variables have been comprehensively enhanced to encompass additional topics, aligning with the latest curriculum requirements. With an array of new and updated examples, quizzes, and end-of-chapter problems, the book provides robust support to students, particularly in bridging the gap between theoretical probability and its practical applications in engineering.
商品描述(中文翻譯)
《機率與隨機過程：電機與計算機工程師的友善入門（第四版）》是一本為工程學生提供的易讀指南，幫助他們深入了解機率理論和隨機過程。本書在嚴謹的數學闡述與清晰直觀的解釋之間取得平衡，確保學生掌握應用數學於現實工程挑戰所需的基本概念。書中增強了實用的 MATLAB 應用，為學生提供寶貴的實作經驗，以加強理論材料的理解。
這本國際版經過全面修訂和更新。特別地，它新增了一章關於機率不等式和界限的內容。隨機過程和隨機變數之和的部分也經過全面增強，涵蓋了更多主題，以符合最新的課程要求。書中提供了一系列新的和更新的範例、測驗以及章末問題，為學生提供強有力的支持，特別是在理論機率與其在工程中的實際應用之間架起橋樑。
目錄大綱
1 Random Experiments, Models, and Probabilities
2 Sequential Random Experiments
3 Discrete Random Variables
4 Continuous Random Variables
5 Multiple Random Variables
6 Probability Models of Derived Random Variables
7 Conditional Probability Models
8 Random Vectors
9 Sums of Random Variables
10 Hypothesis Testing
11 Estimation of a Random Variable
12 Some Probabilistic Inequalities and Bounds
13 Stochastic Processes and Markov Chains
14 Stationary Processes and Random Signal Processing
Appendix A The Sample Mean
Appendix B Families of Random Variables
Appendix C A Few Math Facts
目錄大綱(中文翻譯)
1 Random Experiments, Models, and Probabilities
2 Sequential Random Experiments
3 Discrete Random Variables
4 Continuous Random Variables
5 Multiple Random Variables
6 Probability Models of Derived Random Variables
7 Conditional Probability Models
8 Random Vectors
9 Sums of Random Variables
10 Hypothesis Testing
11 Estimation of a Random Variable
12 Some Probabilistic Inequalities and Bounds
13 Stochastic Processes and Markov Chains
14 Stationary Processes and Random Signal Processing
Appendix A The Sample Mean
Appendix B Families of Random Variables
Appendix C A Few Math Facts
