The Resource Advanced probability theory for biomedical engineers, John D. Enderle, David C. Farden, Daniel J. Krause
Advanced probability theory for biomedical engineers, John D. Enderle, David C. Farden, Daniel J. Krause
Resource Information
The item Advanced probability theory for biomedical engineers, John D. Enderle, David C. Farden, Daniel J. Krause represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Advanced probability theory for biomedical engineers, John D. Enderle, David C. Farden, Daniel J. Krause represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 1 library branch.
 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 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 problemsas well as pursuing these topics at a more advanced level. The theory material is presented in a logical mannerdeveloping 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."Publisher's website
 Language
 eng
 Edition
 1st ed.
 Extent
 viii, 100 pages
 Note
 "This is the third in a series of short books on probability theory and random processes for biomedical engineers"Abstract
 Isbn
 9781598291506
 Label
 Advanced probability theory for biomedical engineers
 Title
 Advanced probability theory for biomedical engineers
 Statement of responsibility
 John D. Enderle, David C. Farden, Daniel J. Krause
 Language
 eng
 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 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 problemsas well as pursuing these topics at a more advanced level. The theory material is presented in a logical mannerdeveloping 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."Publisher's website
 Additional physical form
 Also issued online.
 Cataloging source
 CIN
 http://library.link/vocab/creatorName
 Enderle, John D.
 Illustrations
 illustrations
 Index
 no index present
 LC call number
 QA273
 LC item number
 .E574 2006
 Literary form
 non fiction
 http://library.link/vocab/relatedWorkOrContributorName

 Farden, David Charles
 Krause, Daniel J
 Series statement
 Synthesis lectures on biomedical engineering,
 Series volume
 #11
 http://library.link/vocab/subjectName

 Probabilities
 Random variables
 Probability Theory
 Biomedical Engineering
 Label
 Advanced probability theory for biomedical engineers, John D. Enderle, David C. Farden, Daniel J. Krause
 Note
 "This is the third in a series of short books on probability theory and random processes for biomedical engineers"Abstract
 Carrier category
 volume
 Carrier category code

 nc
 Carrier MARC source
 rdacarrier
 Color
 mixed
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Control code
 80563749
 Dimensions
 24 cm
 Dimensions
 unknown
 Edition
 1st ed.
 Extent
 viii, 100 pages
 Isbn
 9781598291506
 Isbn Type
 (pbk.)
 Media category
 unmediated
 Media MARC source
 rdamedia
 Media type code

 n
 Other physical details
 illustrations
 Sound
 unknown sound
 Specific material designation
 remote
 System control number
 (OCoLC)80760715
 Label
 Advanced probability theory for biomedical engineers, John D. Enderle, David C. Farden, Daniel J. Krause
 Note
 "This is the third in a series of short books on probability theory and random processes for biomedical engineers"Abstract
 Carrier category
 volume
 Carrier category code

 nc
 Carrier MARC source
 rdacarrier
 Color
 mixed
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Control code
 80563749
 Dimensions
 24 cm
 Dimensions
 unknown
 Edition
 1st ed.
 Extent
 viii, 100 pages
 Isbn
 9781598291506
 Isbn Type
 (pbk.)
 Media category
 unmediated
 Media MARC source
 rdamedia
 Media type code

 n
 Other physical details
 illustrations
 Sound
 unknown sound
 Specific material designation
 remote
 System control number
 (OCoLC)80760715
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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Advancedprobabilitytheoryforbiomedical/_Gx4rsSg5HE/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Advancedprobabilitytheoryforbiomedical/_Gx4rsSg5HE/">Advanced probability theory for biomedical engineers, John D. Enderle, David C. Farden, Daniel J. Krause</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>