Elementary Applications of Probability Theory, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

* Read * Elementary Applications of Probability Theory, Second Edition (Chapman & Hall/CRC Texts in Statistical Science) by Henry C. Tuckwell ✓ eBook or Kindle ePUB. Elementary Applications of Probability Theory, Second Edition (Chapman & Hall/CRC Texts in Statistical Science) Chapters two to five deal with random variables and their applications. The next four chapters introduce random processes, including random walks and Markov chains illustrated by examples in population genetics and population growth. This book provides a clear and straightforward introduction to applications of probability theory with examples given in the biological sciences and engineering.The first chapter contains a summary of basic probability theory. This edition also includes two chapters

Elementary Applications of Probability Theory, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

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Rating : 4.89 (550 Votes)
Asin : 0412576201
Format Type : paperback
Number of Pages : 308 Pages
Publish Date : 2015-11-20
Language : English

DESCRIPTION:

Chapters two to five deal with random variables and their applications. The next four chapters introduce random processes, including random walks and Markov chains illustrated by examples in population genetics and population growth. This book provides a clear and straightforward introduction to applications of probability theory with examples given in the biological sciences and engineering.The first chapter contains a summary of basic probability theory. This edition also includes two chapters which introduce, in a manifestly readable fashion, the topic of stochastic differential equations and their applications.. Topics covered include geometric probability, estimation of animal and plant populations, reliability theory and computer simulation. Chapter six contains a lucid account of the convergence of sequences of random variables, with emphasis on the central limit theorem and the weak law of numbers

Integrity Todd said A salient mathematical mosaic. I found the book to be both concise and descriptive on examples of probability than run the gamut from Buffon's needle problem to diffusion processes such as Wiener process. He develops the simulation of random numbers in terms of the probability integral transformation and gives detailed, worked-out examples. One idea often glossed-over in elementary probability theory books is the characteristic function. This author talks about the "one-to-one" correspondence between distribution functions and characteristic functions. From an undergraduate level

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