Probability theory is an important part of contemporary mathematics. The subject plays a key role in the insurance industry， modelling financial markets， and statistics generally ： including all those fields of endeavour to which statistics is applied （e.g. health， physical sciences， engineering， economics， social sciences）. The twentieth century has been an important time for the subject because we have witnessed the development of a solid mathematical basis for the study of probability， especially from the Russsian school of probability under the leadership of A.N. Kolmogorov. We have also seen many new applications of probability including applications of stochastic calculus in the finance industry， fundamental ideas in computer science， and internet gambling.此書為英文版！
作者簡介
暫缺《概率論題解》作者簡介
圖書目錄
Preface Problems Chapter 1 Sets， measure and probability 1.1 Notes 1.2 Problems Chapter 2 Elementary probability 2.1 Notes 2.2 Problems Chapter 3 Discrete random variables 3.1 Notes 3.2 Problems Chapter 4 Continuous random variables 4.1 Notes 4.2 Problems Chapter 5 Limit theorems 5.1 Notes 5.2 Problems Chapter 6 Random walks 6.1 Notes 6.2 Problems Solutions Chapter 1 Sets, measure and probability Chapter 2 Elementary probability Chapter 3 Discrete random variables Chapter 4 ontinuous random variables Chapter 5 Limit theorems Chapter 6 Random walks Bibliography Index
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