Intermediate probability theory for biomedical engineers
The Resource Intermediate probability theory for biomedical engineers Label
 Intermediate probability theory for biomedical engineers
 Statement of responsibility
 John D. Enderle, David C. Farden, Daniel J. Krause
 Language
 eng
 Summary
 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
 Additional physical form
 Also available in print
 Cataloging source
 GAT
 Dewey number
 519.2
 Illustrations
 illustrations
 Index
 no index present
 LC call number
 QA273
 LC item number
 .E583 2006
 Literary form
 non fiction
 Nature of contents

 dictionaries
 bibliography
 Series statement
 Synthesis lectures on biomedical engineering,
 Series volume
 10
 Target audience
 adult
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