Four Papers on Probability
Author | : Kai Lai Chung |
Publisher | : |
Total Pages | : 0 |
Release | : 1951 |
Genre | : |
ISBN | : |
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Author | : Kai Lai Chung |
Publisher | : |
Total Pages | : 0 |
Release | : 1951 |
Genre | : |
ISBN | : |
Author | : Kai Lai Chung |
Publisher | : American Mathematical Soc. |
Total Pages | : 66 |
Release | : 1951 |
Genre | : Probabilities |
ISBN | : 0821812068 |
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Release | : 1971 |
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Author | : American Mathematical Society |
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Total Pages | : |
Release | : 1951 |
Genre | : Probabilities |
ISBN | : |
Author | : Kailai Zhong |
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Total Pages | : |
Release | : 1968 |
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Release | : 1951 |
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Publisher | : American Mathematical Soc. |
Total Pages | : 312 |
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ISBN | : 9780821814574 |
Author | : K.L. Chung |
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Total Pages | : |
Release | : 1951 |
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ISBN | : |
Author | : Rick Durrett |
Publisher | : Cambridge University Press |
Total Pages | : |
Release | : 2010-08-30 |
Genre | : Mathematics |
ISBN | : 113949113X |
This classic introduction to probability theory for beginning graduate students covers laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. It is a comprehensive treatment concentrating on the results that are the most useful for applications. Its philosophy is that the best way to learn probability is to see it in action, so there are 200 examples and 450 problems. The fourth edition begins with a short chapter on measure theory to orient readers new to the subject.
Author | : Joseph K. Blitzstein |
Publisher | : CRC Press |
Total Pages | : 599 |
Release | : 2014-07-24 |
Genre | : Mathematics |
ISBN | : 1466575573 |
Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.