Introduction to Probability, Statistics, and Random Processes (Paperback)

Hossein Pishro-Nik

  • 出版商: Kappa Research, LLC
  • 出版日期: 2014-08-24
  • 售價: $1,650
  • 貴賓價: 9.5$1,568
  • 語言: 英文
  • 頁數: 744
  • 裝訂: Paperback
  • ISBN: 0990637204
  • ISBN-13: 9780990637202
  • 相關分類: 機率統計學 Probability-and-statistics
  • 立即出貨 (庫存 < 3)



This book introduces students to probability, statistics, and stochastic processes. It can be used by both students and practitioners in engineering, various sciences, finance, and other related fields. It provides a clear and intuitive approach to these topics while maintaining mathematical accuracy.

The book covers:

  • Basic concepts such as random experiments, probability axioms, conditional probability, and counting methods
  • Single and multiple random variables (discrete, continuous, and mixed), as well as moment-generating functions, characteristic functions, random vectors, and inequalities
  • Limit theorems and convergence
  • Introduction to Bayesian and classical statistics
  • Random processes including processing of random signals, Poisson processes, discrete-time and continuous-time Markov chains, and Brownian motion
  • Simulation using MATLAB and R (online chapters)

The book contains a large number of solved exercises. The dependency between different sections of this book has been kept to a minimum in order to provide maximum flexibility to instructors and to make the book easy to read for students. Examples of applications—such as engineering, finance, everyday life, etc.—are included to aid in motivating the subject. The digital version of the book, as well as additional materials such as videos, is available at




- 基本概念,如隨機實驗、概率公理、條件概率和計數方法
- 單個和多個隨機變量(離散、連續和混合),以及矩生成函數、特徵函數、隨機向量和不等式
- 極限定理和收斂
- 貝葉斯統計和古典統計的介紹
- 隨機過程,包括隨機信號處理、泊松過程、離散時間和連續時間馬爾可夫鏈以及布朗運動
- 使用MATLAB和R進行模擬(在線章節)