Probability and Statistics and Random Processes

Author: Zhang Fuyuan
Publisher:
Publish Date: 2004-03-01
Features: This book introduces three parts of content: Probability Theory, Mathematical Statistics, and Stochastic Processes. Chapters 1 to 6 cover Probability Theory, including: Probability of Random Events; Random Variables and Their Distributions; Bivariate Random Variables; Distribution of Functions of Random Variables; Numerical Characteristics of Random Variables; Law of Large Numbers and Central Limit Theorem. Chapters 7 to 10 cover Mathematical Statistics, including: Statistics and Their Distributions; Point and Interval Estimation of Parameters; Hypothesis Testing; Regression Analysis. Chapters 11 to 13 cover Stochastic Processes, including: Basic Concepts of Stochastic Processes; Stationary Processes; Markov Chains. The book is equipped with a substantial number of examples and exercises to facilitate self-study, as well as a moderate number of applied examples. The content is rich and easy to understand, meeting the basic teaching requirements of universities in science and engineering while also including some content with broad application areas. This makes the book suitable as a undergraduate textbook for universities in science and engineering, a reference book for graduate students, as well as a reference for teachers and engineering professionals in related fields. This book introduces three parts of content: Probability Theory, Mathematical Statistics, and Stochastic Processes, including: Probability of Random Events, Statistics and Their Distributions, Basic Concepts of Stochastic Processes, etc.