| 000 | 03622nam a22005175i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-01615-8 | ||
| 003 | DE-He213 | ||
| 005 | 20240730163640.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220601s2006 sz | s |||| 0|eng d | ||
| 020 |
_a9783031016158 _9978-3-031-01615-8 |
||
| 024 | 7 |
_a10.1007/978-3-031-01615-8 _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 _979715 |
|
| 245 | 1 | 0 |
_aAdvanced 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 |
_aVIII, 100 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 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. | ||
| 650 | 0 |
_aEngineering. _99405 |
|
| 650 | 0 |
_aBiophysics. _94093 |
|
| 650 | 0 |
_aBiomedical engineering. _93292 |
|
| 650 | 1 | 4 |
_aTechnology and Engineering. _979716 |
| 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 _979717 |
|
| 700 | 1 |
_aKrause, Daniel J. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _979718 |
|
| 710 | 2 |
_aSpringerLink (Online service) _979719 |
|
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031004872 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031027437 |
| 830 | 0 |
_aSynthesis Lectures on Biomedical Engineering, _x1930-0336 _979720 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-01615-8 |
| 912 | _aZDB-2-SXSC | ||
| 942 | _cEBK | ||
| 999 |
_c84833 _d84833 |
||