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概率论导论-Introduction to Probability with R

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文件编号:5174
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标题(title):Introduction to Probability with R
概率论导论
作者(author):Baclawski, Kenneth
出版社(publisher):CRC Press
大小(size):4 MB (4063170 bytes)
格式(extension):pdf
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FOREWORD PREFACE Sets, Events, and Probability The Algebra of Sets The Bernoulli Sample Space The Algebra of Multisets The Concept of Probability Properties of Probability Measures Independent Events The Bernoulli Process The R Language Finite Processes The Basic Models Counting Rules Computing Factorials The Second Rule of Counting Computing Probabilities Discrete Random Variables The Bernoulli Process: Tossing a Coin The Bernoulli Process: Random Walk Independence and Joint Distributions Expectations The Inclusion-Exclusion Principle General Random Variable. Read more...
Abstract: Presents R programs and animations to provide an understanding of how to model natural phenomena from a probabilistic point of view. This work centers on viewing probability as a way to look at the world and shows how to combine and link stochastic processes to form complex processes that are better models of natural phenomena. Read more...
Table of contents :
Content: Front cover
Contents
Foreword
Preface
CHAPTER 1. Sets, Events and Probability
CHAPTER 2. Finite Processes
CHAPTER 3. Discrete Random Variables
CHAPTER 4. General Random Variables
CHAPTER 5. Statistics and the Normal Distribution
CHAPTER 6. Conditional Probability
CHAPTER 7. The Poisson Process
CHAPTER 8. Randomization and Compound Processes
CHAPTER 9. Entropy and Information
CHAPTER 10. Markov Chains
APPENDIX A. Random Walks
APPENDIX B. Memorylessness and Scale-Invariance
References
Back cover
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