The Resource Intermediate probability theory for biomedical engineers, John D. Enderle, David C. Farden, Daniel J. Krause
Intermediate probability theory for biomedical engineers, John D. Enderle, David C. Farden, Daniel J. Krause
 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
 Language
 eng
 Edition
 1st ed
 Extent
 1 online resource (1 v. (vii, 106 p.))
 Note

 Part of: Synthesis digital library of engineering and computer science
 Title from PDF t.p. (viewed on Oct. 29, 2008)
 Contents

 Expectation
 Moments
 Bounds on probabilities
 Characteristic function
 Conditional expectation
 Summary
 Problems
 Bivariate random variables
 Bivariate CDF
 Bivariate RiemannStieltjes integral
 Expectation
 Convolution
 Conditional probability
 Conditional expectation
 Summary
 Problems
 Isbn
 9781598291407
 Label
 Intermediate probability theory for biomedical engineers
 Title
 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
 Label
 Intermediate probability theory for biomedical engineers, John D. Enderle, David C. Farden, Daniel J. Krause
 Note

 Part of: Synthesis digital library of engineering and computer science
 Title from PDF t.p. (viewed on Oct. 29, 2008)
 Bibliography note
 Includes bibliographical references (p. 105106)
 http://library.link/vocab/branchCode

 net
 Color
 multicolored
 Contents
 Expectation  Moments  Bounds on probabilities  Characteristic function  Conditional expectation  Summary  Problems  Bivariate random variables  Bivariate CDF  Bivariate RiemannStieltjes integral  Expectation  Convolution  Conditional probability  Conditional expectation  Summary  Problems
 Control code
 000044822359
 Dimensions
 unknown
 Edition
 1st ed
 Extent
 1 online resource (1 v. (vii, 106 p.))
 File format
 multiple file formats
 Form of item
 electronic
 Isbn
 9781598291407
 Other control number
 10.2200/S00062ED1V01Y200610BME010
 Other physical details
 digital, PDF file
 http://library.link/vocab/recordID
 .b26020907
 Reformatting quality
 access
 Specific material designation
 remote
 System control number

 (OCoLC)74651742
 synthesis1598291408
 System details

 Mode of access: World Wide Web
 System requirements: Adobe Acrobat Reader
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