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A textbook of mathematics for graduate students
Postgraduate entrance examination ranked first: advanced mathematics accounted for 56%, linear algebra 22%, probability theory 22%.

Probability theory: the first chapter will not give the examination questions separately, but will appear as the basic knowledge points in the examination questions in the subsequent chapters!

In the second chapter, it will not be a separate topic, but will generally be investigated together with the content and distribution of multidimensional random variables!

The third chapter, the key part, especially the two-dimensional random variables and their distribution, as well as some common distributions!

The fourth chapter, which is also the key point, has the numerical characteristics of random variables every year! (expectation, variance, standard deviation, moment, covariance, etc. )

The fifth chapter is not the key point, including an inequality, three laws of large numbers and two central limit theorems. Just remember these conditions and conclusions.

The test question will be selected as the last question in chapters 6, 7 and 8. Chapter 6 is the most likely and the foundation, so you must master it. A little understanding of Chapters 7 and 8 is enough!