Elementary Applications of Probability Theory
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A01=Henry C. Tuckwell
Absorbing States
Author_Henry C. Tuckwell
Binomial Random Variable
Category=PBT
central limit theorem
chain
Compound Poisson Random Variables
Continuous Time Markov Chain
Distributed Failure Time
Distribution Function
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Gaussian Random Variable
Henry C. Tuckwell
Homogeneous Poisson Point Process
Independent Standard Normal Random Variables
Infinitesimal Moments
Joint Distribution Function
law
markov
Markov chains
point
poisson
Poisson Point Processes
Poisson Process
Poisson Random Variable
population genetics
process
random
Random Process
Random Variable
random walks
reliability modeling
Sample Paths
simple
Simple Poisson Process
Simple Random Walk
Standard Wiener Process
Stochastic Differential Equations
stochastic differential equations applications
Stochastic Integral
stochastic processes
Transition Probabilities
Transition Probability Density Function
variable
walk
Wiener Process
Product details
- ISBN 9780367449056
- Weight: 453g
- Dimensions: 156 x 234mm
- Publication Date: 02 Dec 2019
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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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. Chapters two to five deal with random variables 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. The next four chapters introduce random processes, including random walks and Markov chains illustrated by examples in population genetics and population growth.
This edition also includes two chapters which introduce, in a manifestly readable fashion, the topic of stochastic differential equations and their applications.
Tuckwell, Henry C.
