000 03314nam a22005175i 4500
001 978-3-031-01613-4
003 DE-He213
005 20240730163639.0
007 cr nn 008mamaa
008 220601s2006 sz | s |||| 0|eng d
020 _a9783031016134
_9978-3-031-01613-4
024 7 _a10.1007/978-3-031-01613-4
_2doi
050 4 _aT1-995
072 7 _aTBC
_2bicssc
072 7 _aTEC000000
_2bisacsh
072 7 _aTBC
_2thema
082 0 4 _a620
_223
100 1 _aEnderle, John D.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_979709
245 1 0 _aBasic Probability Theory for Biomedical Engineers
_h[electronic resource] /
_cby John D. Enderle, David C. Farden, Daniel J. Krause.
250 _a1st ed. 2006.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2006.
300 _aX, 126 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Biomedical Engineering,
_x1930-0336
520 _aThis 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 _aEngineering.
_99405
650 0 _aBiophysics.
_94093
650 0 _aBiomedical engineering.
_93292
650 1 4 _aTechnology and Engineering.
_979710
650 2 4 _aBiophysics.
_94093
650 2 4 _aBiomedical Engineering and Bioengineering.
_931842
700 1 _aFarden, David C.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_979711
700 1 _aKrause, Daniel J.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_979712
710 2 _aSpringerLink (Online service)
_979713
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031004858
776 0 8 _iPrinted edition:
_z9783031027413
830 0 _aSynthesis Lectures on Biomedical Engineering,
_x1930-0336
_979714
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01613-4
912 _aZDB-2-SXSC
942 _cEBK
999 _c84832
_d84832