新生學校財團法人新生醫護管理專科學校圖書館 |

Bayesian inference = with ecological applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Bayesian inference/ William A. Link, Richard J. Barker.
Reminder of title:	with ecological applications /
Author:	Link, William August,
other author:	Barker, Richard J.
Published:	Amsterdam ;Elsevier/Academic, : 2010.,
Description:	1 online resource (xiii, 339 p.) :ill. (some col.) :
Subject:	Bayesian statistical decision theory. -
Online resource:	http://www.sciencedirect.com/science/book/9780123748546
ISBN:	9780123748546

Bayesian inference = with ecological applications /
Link, William August,1957-

Bayesian inferencewith ecological applications /[electronic resource] :William A. Link, Richard J. Barker. - 1st ed. - Amsterdam ;Elsevier/Academic,2010. - 1 online resource (xiii, 339 p.) :ill. (some col.)

Includes bibliographical references and indexes.

Chapter 1. Bayesian Inference -- Chapter 2. Probability -- Chapter 3. Statistical Inference -- Chapter 4. Posterior Calculations -- Chapter 5. Bayesian Prediction -- Chapter 6. Priors -- Chapter 7. Multimodel Inference -- Chapter 8. Hidden Data Models -- Chapter 9. Closed-Population Mark-Recapture Models -- Chapter 10. Latent Multinomials -- Chapter 11. Open Population Models -- Chapter 12. Individual Fitness -- Chapter 13. Autoregressive Smoothing.

This text is written to provide a mathematically sound but accessible and engaging introduction to Bayesian inference specifically for environmental scientists, ecologists and wildlife biologists. It emphasizes the power and usefulness of Bayesian methods in an ecological context. The advent of fast personal computers and easily available software has simplified the use of Bayesian and hierarchical models . One obstacle remains for ecologists and wildlife biologists, namely the near absence of Bayesian texts written specifically for them. The book includes many relevant examples, is supported by software and examples on a companion website and will become an essential grounding in this approach for students and research ecologists. . Engagingly written text specifically designed to demystify a complex subject . Examples drawn from ecology and wildlife research . An essential grounding for graduate and research ecologists in the increasingly prevalent Bayesian approach to inference . Companion website with analytical software and examples . Leading authors with world-class reputations in ecology and biostatistics.

ISBN: 9780123748546

Source: 142169:142315Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:

96593
Bayesian statistical decision theory.
Index Terms--Genre/Form:

96803
Electronic books.

LC Class. No.: QA279.5 / .L56 2010

Dewey Class. No.: 333.701519542

Bayesian inference = with ecological applications /
LDR:03435cmm 2200445Ia 4500 001 139603
005 20120813074940.0
006 m d
007 cr cn|||||||||
008 160121s2010 ne a ob 001 0 eng d
019 $a 503046133 $a 643586706 $a 646815497
020 $a 9780123748546
020 $a 0123748542
020 $a 9780080889801 (electronic bk.)
020 $a 0080889808 (electronic bk.)
029 1 $a AU@ $b 000045964148
029 1 $a CDX $b 10686916
029 1 $a DEBBG $b BV039827183
035 $a ocn528581487
037 $a 142169:142315 $b Elsevier Science & Technology $n http://www.sciencedirect.com
040 $a OPELS $b eng $c OPELS $d OCLCQ $d VT2 $d CDX $d N $d EBLCP $d IDEBK $d YDXCP $d OSU $d E7B $d FHM $d UBF $d OCLCQ $d REDDC $d OCLCQ
049 $a NTYA
050 4 $a QA279.5 $b .L56 2010
072 7 $a NAT $x 038000 $2 bisacsh
072 7 $a BUS $x 099000 $2 bisacsh
072 7 $a BUS $x 094000 $2 bisacsh
082 0 4 $a 333.701519542 $2 22
100 1 $a Link, William August, $d 1957- $3 257049
245 1 0 $a Bayesian inference $h [electronic resource] : $b with ecological applications / $c William A. Link, Richard J. Barker.
250 $a 1st ed.
260 $a Amsterdam ; $a Boston ; $a London : $c 2010. $b Elsevier/Academic,
300 $a 1 online resource (xiii, 339 p.) : $b ill. (some col.)
504 $a Includes bibliographical references and indexes.
505 0 $a Chapter 1. Bayesian Inference -- Chapter 2. Probability -- Chapter 3. Statistical Inference -- Chapter 4. Posterior Calculations -- Chapter 5. Bayesian Prediction -- Chapter 6. Priors -- Chapter 7. Multimodel Inference -- Chapter 8. Hidden Data Models -- Chapter 9. Closed-Population Mark-Recapture Models -- Chapter 10. Latent Multinomials -- Chapter 11. Open Population Models -- Chapter 12. Individual Fitness -- Chapter 13. Autoregressive Smoothing.
520 $a This text is written to provide a mathematically sound but accessible and engaging introduction to Bayesian inference specifically for environmental scientists, ecologists and wildlife biologists. It emphasizes the power and usefulness of Bayesian methods in an ecological context. The advent of fast personal computers and easily available software has simplified the use of Bayesian and hierarchical models . One obstacle remains for ecologists and wildlife biologists, namely the near absence of Bayesian texts written specifically for them. The book includes many relevant examples, is supported by software and examples on a companion website and will become an essential grounding in this approach for students and research ecologists. . Engagingly written text specifically designed to demystify a complex subject . Examples drawn from ecology and wildlife research . An essential grounding for graduate and research ecologists in the increasingly prevalent Bayesian approach to inference . Companion website with analytical software and examples . Leading authors with world-class reputations in ecology and biostatistics.
588 $a Description based on print version record.
650 0 $a Bayesian statistical decision theory. $3 96593
650 0 $a Ecology $x Mathematical models. $3 124718
650 7 $a NATURE $x Natural Resources. $2 bisacsh $3 231327
650 7 $a BUSINESS & ECONOMICS $x Environmental Economics. $2 bisacsh $3 231328
650 7 $a BUSINESS & ECONOMICS $x Green Business. $2 bisacsh $3 231329
650 1 7 $a Methode van Bayes. $2 gtt $3 257051
650 1 7 $a Ecologische aspecten. $2 gtt $3 257052
655 4 $a Electronic books. $2 local. $3 96803
700 1 $a Barker, Richard J. $3 257050
776 0 8 $i Print version: $a Link, William August, 1957- $t Bayesian inference. $b 1st ed. $d Amsterdam ; Boston ; London : Elsevier/Academic, 2010 $z 9780123748546 $z 0123748542 $w (OCoLC)432405804
856 4 0 $3 ScienceDirect $u http://www.sciencedirect.com/science/book/9780123748546
938 $a Coutts Information Services $b COUT $n 10686916
938 $a EBL - Ebook Library $b EBLB $n EBL452848
938 $a YBP Library Services $b YANK $n 3081601
938 $a ebrary $b EBRY $n ebr10318951