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Advanced probability theory for biomedical engineers

Author: John D Enderle; David Charles Farden; Daniel J Krause
Publisher: [San Rafael, Calif.] : Morgan & Claypool Publishers, ©2006.
Series: Synthesis lectures on biomedical engineering (Online), #11.
Edition/Format:   eBook : Document : English : 1st edView all editions and formats
Database:WorldCat
Summary:
This is the third in a series of short books on probability theory and random processes for biomedical engineers. This book focuses on standard probability distributions commonly encountered in biomedical engineering. The exponential, Poisson and Gaussian distributions are introduced, as well as important approximations to the Bernoulli PMF and Gaussian CDF. Many important properties of jointly Gaussian random  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: John D Enderle; David Charles Farden; Daniel J Krause
ISBN: 1598291513 9781598291513
OCLC Number: 74843321
Notes: Title from PDF title page (viewed Nov. 2, 2006).
"This is the third in a series of short books on probability theory and random processes for biomedical engineers"--Abstract.
Description: 1 online resource (viii, 100 pages).
Contents: Standard probability distributions --
Uniform distributions --
Exponential distributions Bernoulli trials --
Poisson distribution --
Univariate Gaussian distribution --
Bivariate Gaussian random variables --
Summary --
Problems --
Transformations of random variables --
Univariate CDF technique --
Univariate PDF technique --
One function of two random variables --
Bivariate transformations --
Summary --
Problems.
Series Title: Synthesis lectures on biomedical engineering (Online), #11.
Responsibility: John D. Enderle, David C. Farden, Daniel J. Krause.

Abstract:

Focuses on standard probability distributions commonly encountered in biomedical engineering. This book introduces exponential, Poisson, and Gaussian distributions, as well as important  Read more...

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