嶺東科技大學 |

[NT 42591] Language: 簡体中文

[NT 5635] Back

[NT 59884] Switch To: [NT 5556] Labeled | [NT 5559] MARC Mode | [NT 33762] ISBD

Intermediate Probability Theory for Biomedical Engineers

[NT 42944] Record Type:	[NT 8598] Electronic resources : [NT 8250] Monograph/item
[NT 47271] Title/Author:	Intermediate Probability Theory for Biomedical Engineers/ by John D. Enderle, David C. Farden, Daniel J. Krause.
[NT 47261] Author:	Enderle, John D.
[NT 51406] other author:	Farden, David C.
[NT 47264] Description:	VIII, 106 p.online resource. :
[NT 47305] Contained By:	Springer Nature eBook
[NT 47266] Subject:	Engineering. -
[NT 47457] Online resource:	Fulltext (查閱電子書全文)
[NT 51404] ISBN:	9783031016141

Intermediate Probability Theory for Biomedical Engineers
Enderle, John D.

Intermediate Probability Theory for Biomedical Engineers[electronic resource] /by John D. Enderle, David C. Farden, Daniel J. Krause. - 1st ed. 2006. - VIII, 106 p.online resource. - Synthesis Lectures on Biomedical Engineering,1930-0336. - Synthesis Lectures on Biomedical Engineering,.

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.

ISBN: 9783031016141

Standard No.: 10.1007/978-3-031-01614-1doiSubjects--Topical Terms:

423497
Engineering.

LC Class. No.: T1-995

Dewey Class. No.: 620

Intermediate Probability Theory for Biomedical Engineers
LDR:02509nmm a22003615i 4500 001 349663
003 DE-He213
005 20230111135420.0
007 cr nn 008mamaa
008 230512s2006 sz | s |||| 0|eng d
020 $a 9783031016141 $9 978-3-031-01614-1
024 7 $a 10.1007/978-3-031-01614-1 $2 doi
035 $a 978-3-031-01614-1
050 4 $a T1-995
072 7 $a TBC $2 bicssc
072 7 $a TEC000000 $2 bisacsh
072 7 $a TBC $2 thema
082 0 4 $a 620 $2 23
100 1 $a Enderle, John D. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 423932
245 1 0 $a Intermediate Probability Theory for Biomedical Engineers $h [electronic resource] / $c by John D. Enderle, David C. Farden, Daniel J. Krause.
250 $a 1st ed. 2006.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2006.
300 $a VIII, 106 p. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Synthesis Lectures on Biomedical Engineering, $x 1930-0336
520 $a 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.
650 0 $a Engineering. $3 423497
650 0 $a Biophysics. $3 423498
650 0 $a Biomedical engineering. $3 423499
650 1 4 $a Technology and Engineering. $3 423500
650 2 4 $a Biomedical Engineering and Bioengineering. $3 423501
700 1 $a Farden, David C. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 423933
700 1 $a Krause, Daniel J. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 423934
710 2 $a SpringerLink (Online service) $3 423502
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783031004865
776 0 8 $i Printed edition: $z 9783031027420
830 0 $a Synthesis Lectures on Biomedical Engineering, $x 1930-0336 $3 423504
856 4 0 $u https://doi.org/10.1007/978-3-031-01614-1 $z Fulltext (查閱電子書全文)
912 $a ZDB-2-SXSC
950 $a Synthesis Collection of Technology (R0) (SpringerNature-85007)