This book is compiled based on the basic teaching requirements of the "Probability Theory and Mathematical Statistics" course, the syllabus requirements of Mathematics I of the National Master's Entrance Examination, and the editor's many years of teaching practice experience, with full consideration of the teaching reality.
The book is divided into 10 chapters. The first 5 chapters are the basic content of probability theory, including: random events and probability, random variables and their distribution, multi-dimensional random variables and their distribution, the numerical characteristics of random variables, the law of large numbers and the central limit theorem; the last 5 chapters are the basic content of mathematical statistics, including: the basic concepts of mathematical statistics, parameter estimation, hypothesis testing, regression analysis, and variance analysis. The whole book focuses on the basic principles and methods of probability theory and mathematical statistics, pays attention to the intuitive explanation of basic concepts, pays attention to the application background, is equipped with a large number of examples and exercises, and strives to be closely integrated with reality. This book can be used as a textbook or reference book for probability theory and mathematical statistics courses for undergraduates in colleges and universities [science (non-mathematics), engineering, economics and management, etc.], And can also be used as a reference for beginners of probability statistics.
Reader comments
I don't know who has uploaded this book, but it's very nice.
This book is rich in content and covers the basic concepts and methods of probability theory and mathematical statistics. It explains complex theories in simple terms through a large number of examples and exercises, allowing readers to easily understand them. I was impressed by the "Law of Large Numbers" in the book, which tells us that in a large number of repeated experiments, frequency will approach probability. This is not only a learning textbook, but also a good companion for exploring the world of probability.
I don't know who has uploaded this book, but it's very nice.
This book is rich in content and covers the basic concepts and methods of probability theory and mathematical statistics. It explains complex theories in simple terms through a large number of examples and exercises, allowing readers to easily understand them. I was impressed by the "Law of Large Numbers" in the book, which tells us that in a large number of repeated experiments, frequency will approach probability. This is not only a learning textbook, but also a good companion for exploring the world of probability.
Praise! Solved my problem
This deserves a five-star rating
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