Elementary Applications of Probability Theory, 2nd Edition, (PDF) provides a simple and straightforward introduction to applications of probability theory with examples given in the biological sciences and engineering.
The first chapter includes a summary of the basic probability theory. Chapters two to five covers random variables and their applications. Topics covered include geometric probability, reliability theory, and computer simulation, estimation of animal and plant populations. Chapter six contains a clear account of the convergence of sequences of random variables, with a focus on the central limit theorem and the weak law of numbers. The next four chapters introduce random processes, including random walks and Markov chains shown by examples in population genetics and population growth.
This edition also has two chapters that introduce, in a conclusively readable fashion, the topic of stochastic differential equations and their applications.
NOTE: The product includes the ebook, Elementary Applications of Probability Theory, 2nd Edition in PDF. No access codes are included.
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