Probability Theory and Mathematical Statistics - (2nd Edition)

Author: Ma Xinmin
Publisher:
Publish Date: 2007-02-01
Features: This book is divided into 8 chapters. Chapters 1 to 5 cover probability theory, including random events and their probabilities, random variables and their probability distributions, multivariate random variables and their distributions, the digital characteristics of random variables, and the law of large numbers and the central limit theorem. Chapters 6 to 8 cover mathematical statistics, including the basic concepts of mathematical statistics and parameter estimation, hypothesis testing, regression analysis, and analysis of variance. This book can be used as a textbook for probability theory and mathematical statistics courses in engineering and economics majors at universities and colleges, and can also be referenced by professionals in related fields.