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Advanced Probability Theory for Biomedical Engineers

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advanced Probability Theory for Biomedical Engineers/ by John D. Enderle, David C. Farden, Daniel J. Krause.
作者:	Enderle, John D.
其他作者:	Farden, David C.
面頁冊數:	VIII, 100 p.online resource. :
Contained By:	Springer Nature eBook
標題:	Engineering. -
電子資源:	Fulltext (查閱電子書全文)
ISBN:	9783031016158

Advanced Probability Theory for Biomedical Engineers
Enderle, John D.

Advanced Probability Theory for Biomedical Engineers[electronic resource] /by John D. Enderle, David C. Farden, Daniel J. Krause. - 1st ed. 2006. - VIII, 100 p.online resource. - Synthesis Lectures on Biomedical Engineering,1930-0336. - Synthesis Lectures on Biomedical Engineering,.

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 variables are presented. The primary subjects of the final chapter are methods for determining the probability distribution of a function of a random variable. We first evaluate the probability distribution of a function of one random variable using the CDF and then the PDF. Next, the probability distribution for a single random variable is determined from a function of two random variables using the CDF. Then, the joint probability distribution is found from a function of two random variables using the joint PDF and the CDF. The aim of all three books is as an introduction to probability theory. The audience includes students, engineers and researchers presenting applications of this theory to a wide variety of problems-as well as pursuing these topics at a more advanced level. The theory material is presented in a logical manner-developing special mathematical skills as needed. The mathematical background required of the reader is basic knowledge of differential calculus. Pertinent biomedical engineering examples are throughout the text. Drill problems, straightforward exercises designed to reinforce concepts and develop problem solution skills, follow most sections.

ISBN: 9783031016158

Standard No.: 10.1007/978-3-031-01615-8doiSubjects--Topical Terms:

423497
Engineering.

LC Class. No.: T1-995

Dewey Class. No.: 620

Advanced Probability Theory for Biomedical Engineers
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