Elementary Applications of Probability Theory (Hardcover). Este artículo no está disponible.
Idioma: inglés
Editorial: Taylor & Francis Ltd, 1995
Serie: Libro 63 de 126 - Chapman & Hall/CRC Texts in Statistical Science
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Hardcover. 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. This book provides a clear and straightforward introduction to applications of probability theory with examples given in the biological sciences, engineering, and physical, social and statistical sciences. It also introduces the topic of stochastic differential equations and their applications. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
N° de ref. del artículo 9780412576201
- Título
- Elementary Applications of Probability Theory (Hardcover)
- Autor
- Henry C. Tuckwell
- Editorial
- Taylor & Francis Ltd
- Año de publicación
- 1995
- Estado
- new
- Encuadernación
- Hardcover
- Idioma
- inglés
- ISBN 10
- 0412576201
- ISBN 13
- 9780412576201
- Edición
- 2ª Edición
- Serie
- Libro 63 de 126: Chapman & Hall/CRC Texts in Statistical Science
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.
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