| 000 | 02691nam a22004335i 4500 | ||
|---|---|---|---|
| 001 | 978-3-642-37887-4 | ||
| 003 | DE-He213 | ||
| 005 | 20140220082517.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 131112s2014 gw | s |||| 0|eng d | ||
| 020 |
_a9783642378874 _9978-3-642-37887-4 |
||
| 024 | 7 |
_a10.1007/978-3-642-37887-4 _2doi |
|
| 050 | 4 | _aQA276-280 | |
| 072 | 7 |
_aPBT _2bicssc |
|
| 072 | 7 |
_aMAT029000 _2bisacsh |
|
| 082 | 0 | 4 |
_a519.5 _223 |
| 100 | 1 |
_aHeld, Leonhard. _eauthor. |
|
| 245 | 1 | 0 |
_aApplied Statistical Inference _h[electronic resource] : _bLikelihood and Bayes / _cby Leonhard Held, Daniel Sabanés Bové. |
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2014. |
|
| 300 |
_aXIII, 376 p. 71 illus. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 347 |
_atext file _bPDF _2rda |
||
| 520 | _aThis book covers modern statistical inference based on likelihood with applications in medicine, epidemiology and biology. Two introductory chapters discuss the importance of statistical models in applied quantitative research and the central role of the likelihood function. The rest of the book is divided into three parts. The first describes likelihood-based inference from a frequentist viewpoint. Properties of the maximum likelihood estimate, the score function, the likelihood ratio and the Wald statistic are discussed in detail. In the second part, likelihood is combined with prior information to perform Bayesian inference. Topics include Bayesian updating, conjugate and reference priors, Bayesian point and interval estimates, Bayesian asymptotics and empirical Bayes methods. Modern numerical techniques for Bayesian inference are described in a separate chapter. Finally two more advanced topics, model choice and prediction, are discussed both from a frequentist and a Bayesian perspective. A comprehensive appendix covers the necessary prerequisites in probability theory, matrix algebra, mathematical calculus, and numerical analysis. | ||
| 650 | 0 | _aStatistics. | |
| 650 | 0 | _aMathematical statistics. | |
| 650 | 1 | 4 | _aStatistics. |
| 650 | 2 | 4 | _aStatistical Theory and Methods. |
| 650 | 2 | 4 | _aStatistics for Life Sciences, Medicine, Health Sciences. |
| 650 | 2 | 4 | _aStatistics and Computing/Statistics Programs. |
| 700 | 1 |
_aSabanés Bové, Daniel. _eauthor. |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783642378867 |
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-37887-4 |
| 912 | _aZDB-2-SMA | ||
| 999 |
_c93217 _d93217 |
||