Intermediate Probability Theory for Biomedical Engineers (Paperback)

This is the second in a series of three short books on probability theory and random processes for biomedical engineers. This volume focuses on expectation, standard deviation, moments, and the characteristic function. In addition, conditional expectation, conditional moments and the conditional characteristic function are also discussed. Jointly distributed random variables are described, along with joint expectation, joint moments, and the joint characteristic function. Convolution is also developed. A considerable effort has been made to develop the theory in a logical manner-developing special mathematical skills as needed. The mathematical background required of the reader is basic knowledge of differential calculus. Every effort has been made to be consistent with commonly used notation and terminology-both within the engineering community as well as the probability and statistics literature. The aim is to prepare students for the application of this theory to a wide variety of problems, as well give practicing engineers and researchers a tool to pursue these topics at a more advanced level. Pertinent biomedical engineering examples are used throughout the text.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Synthesis Lectures on Biomedical Engineering
Release date:	December 2007
First published:	2006
Authors:	John Enderle • David Farden • Daniel Krause
Dimensions:	235 x 191mm (L x W)
Format:	Paperback
Pages:	106
ISBN-13:	978-3-03-100486-5
Languages:	English
Subtitles:	English
Categories:	Books > Professional & Technical > Technology: general issues > Engineering: general Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Science & Mathematics > Physics > Applied physics & special topics > Biophysics
LSN:	3-03-100486-8
Barcode:	9783031004865

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