000			04706nam a2200685 i 4500
001			6813036
003			IEEE
005			20200413152845.0
006			m eo d
007			cr cn |||m|||a
008			061102s2006 caua ob 000 0 eng d
020			_a1598291513 (electronic bk.)
020			_a9781598291513 (electronic bk.)
020			_a1598291505 (pbk.)
020			_a9781598291506 (pbk.)
024	7		_a10.2200/S00063ED1V01Y200610BME011 _2doi
035			_a(CaBNVSL)gtp00531408
035			_a(OCoLC)74843321
040			_aWAU _cWAU _dCaBNVSL
050		4	_aQA273 _b.E522 2006
082	0	4	_a519.2 _222
090			_a _bMoCl _e200610BME011
100	1		_aEnderle, John D. _q(John Denis)
245	1	0	_aAdvanced probability theory for biomedical engineers _h[electronic resource] / _cJohn D. Enderle, David C. Farden, Daniel J. Krause.
250			_a1st ed.
260			_aSan Rafael, Calif. (1537 Fourth St, San Rafael, CA 94901 USA) : _bMorgan & Claypool Publishers, _cc2006.
300			_a1 electronic text (viii, 100 p. : ill.) : _bdigital file.
490	1		_aSynthesis lectures on biomedical engineering, _x1930-0336 ; _v#11
538			_aMode of access: World Wide Web.
538			_aSystem requirements: Adobe Acrobat Reader.
500			_aPart of: Synthesis digital library of engineering and computer science.
500			_aSeries from website.
504			_aIncludes bibliographical references.
505	0		_aStandard probability distributions -- Uniform distributions -- Exponential distributions Bernoulli trials -- Poisson distribution -- Univariate Gaussian distribution -- Bivariate Gaussian random variables -- Summary -- Problems -- Transformations of random variables -- Univariate CDF technique -- Univariate PDF technique -- One function of two random variables -- Bivariate transformations -- Summary -- Problems.
506	1		_aAbstract freely available; full-text restricted to subscribers or individual document purchasers.
510	0		_aGoogle scholar
510	0		_aGoogle book search
510	0		_aINSPEC
510	0		_aCompendex
520			_aThis 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 problems as well as pursuing these topics at a more advanced level. The theory material is presented in a logical manner developing 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.
530			_aAlso available in print.
588			_aTitle from PDF t.p. (viewed on Oct. 29, 2008).
650		0	_aRandom variables.
650		0	_aProbabilities.
690			_aExponential distributions.
690			_aPoisson distributions.
690			_aGaussian distributions.
690			_aBernoulli PMF and Gaussian CDF.
690			_aGaussian random variables.
690			_aProbability and statistics for biomedical engineers.
690			_aEngineering statistics.
690			_aRandom processes.
690			_aProbability theory.
700	1		_aFarden, David Charles.
700	1		_aKrause, Daniel J.
730	0		_aSynthesis digital library of engineering and computer science.
830		0	_aSynthesis lectures on biomedical engineering, _x1930-0336 ; _v#11.
856	4	2	_3Abstract with links to resource _uhttp://ieeexplore.ieee.org/servlet/opac?bknumber=6813036
856	4	2	_3Abstract with links to resource _uhttp://dx.doi.org/10.2200/S00063ED1V01Y200610BME011
999			_c561515 _d561515