
eBook - PDF
Introduction to Probability with R
- 380 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Introduction to Probability with R
About this book
Based on a popular course taught by the late Gian-Carlo Rota of MIT, with many new topics covered as well, Introduction to Probability with R presents R programs and animations to provide an intuitive yet rigorous understanding of how to model natural phenomena from a probabilistic point of view. Although the R programs are small in length, they ar
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Yes, you can access Introduction to Probability with R by Kenneth Baclawski, Jim Zidek, Bradley. P. Carlin, Martin A. Tanner, Julian J. Faraway in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- 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