南開科技大學圖書館 |

回首頁

Basic Probability Theory for Biomedical Engineers

紀錄類型:	書目-電子資源 : 單行本
正題名/作者:	Basic Probability Theory for Biomedical Engineers/ by John D. Enderle, David C. Farden, Daniel J. Krause.
作者:	Enderle, John D.
other author:	Farden, David C.
Description:	X, 126 p.online resource.
Contained By:	Springer Nature eBook
Subject:	Engineering. -
Online resource:	Fulltext (查閱電子書全文)
ISBN:	9783031016134

Basic Probability Theory for Biomedical Engineers
LDR:02612nmm a22003615i 4500 001 1000127408
003 DE-He213
005 20230111135517.0
007 cr nn 008mamaa
008 220601s2006 sz | s |||| 0|eng d
020 $a 9783031016134 $9 978-3-031-01613-4
024 7 $a 10.1007/978-3-031-01613-4 $2 doi
035 $a 978-3-031-01613-4
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 1000149447
245 1 0 $a Basic 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 X, 126 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 first in a series of short books on probability theory and random processes for biomedical engineers. This text is written as an introduction to probability theory. The goal was to prepare students, engineers and scientists at all levels of background and experience for the application of this theory to a wide variety of problems-as well as pursue these topics at a more advanced level. The approach is to present a unified treatment of the subject. There are only a few key concepts involved in the basic theory of probability theory. These key concepts are all presented in the first chapter. The second chapter introduces the topic of random variables. Later chapters simply expand upon these key ideas and extend the range of application. 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. Biomedical engineering examples are introduced throughout the text and a large number of self-study problems are available for the reader.
650 0 $a Engineering. $3 162510
650 0 $a Biophysics. $3 187301
650 0 $a Biomedical engineering. $3 162507
650 1 4 $a Technology and Engineering. $3 1000149430
650 2 4 $a Biomedical Engineering and Bioengineering. $3 1000149445
700 1 $a Farden, David C. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1000149448
700 1 $a Krause, Daniel J. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1000149449
710 2 $a SpringerLink (Online service) $3 1000143549
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783031004858
776 0 8 $i Printed edition: $z 9783031027413
830 0 $a Synthesis Lectures on Biomedical Engineering, $x 1930-0336 $3 1000149444
856 4 0 $u https://doi.org/10.1007/978-3-031-01613-4 $z Fulltext (查閱電子書全文)
912 $a ZDB-2-SXSC
950 $a Synthesis Collection of Technology (R0) (SpringerNature-85007)