國立高雄大學圖資館 |

Language: English

Back

Bayesian analysis of time series

Broemeling, Lyle D., (1939-)

Bayesian analysis of time series

Record Type:	Electronic resources : Monograph/item
Title/Author:	Bayesian analysis of time seriesLyle D. Broemeling.
Author:	Broemeling, Lyle D.,
Published:	Boca Raton :CRC Press,c2019.
Description:	1 online resource.
Subject:	Time-series analysis
Online resource:	https://www.taylorfrancis.com/books/9780429488443
ISBN:	9780429488443$q(electronic bk.)

Bayesian analysis of time series
Broemeling, Lyle D.,1939-

Bayesian analysis of time series[electronic resource] /Lyle D. Broemeling. - 1st ed. - Boca Raton :CRC Press,c2019. - 1 online resource.

Includes bibliographical references.

In many branches of science relevant observations are taken sequentially over time. Bayesian Analysis of Time Series discusses how to use models that explain the probabilistic characteristics of these time series and then utilizes the Bayesian approach to make inferences about their parameters. This is done by taking the prior information and via Bayes theorem implementing Bayesian inferences of estimation, testing hypotheses, and prediction. The methods are demonstrated using both R and WinBUGS. The R package is primarily used to generate observations from a given time series model, while the WinBUGS packages allows one to perform a posterior analysis that provides a way to determine the characteristic of the posterior distribution of the unknown parameters. Features Presents a comprehensive introduction to the Bayesian analysis of time series. Gives many examples over a wide variety of fields including biology, agriculture, business, economics, sociology, and astronomy. Contains numerous exercises at the end of each chapter many of which use R and WinBUGS. Can be used in graduate courses in statistics and biostatistics, but is also appropriate for researchers, practitioners and consulting statisticians. About the author Lyle D. Broemeling, Ph.D., is Director of Broemeling and Associates Inc., and is a consulting biostatistician. He has been involved with academic health science centers for about 20 years and has taught and been a consultant at the University of Texas Medical Branch in Galveston, The University of Texas MD Anderson Cancer Center and the University of Texas School of Public Health. His main interest is in developing Bayesian methods for use in medical and biological problems and in authoring textbooks in statistics. His previous books for Chapman & Hall/CRC include Bayesian Biostatistics and Diagnostic Medicine, and Bayesian Methods for Agreement.

ISBN: 9780429488443$q(electronic bk.)Subjects--Topical Terms:

268952
Time-series analysis

LC Class. No.: QA280 / .B765 2019eb

Dewey Class. No.: 519.5/5

Bayesian analysis of time series
LDR:03087cmm a2200349 a 4500 001 605917
003 FlBoTFG
005 20190513114853.0
006 m o d
007 cr cnu---unuuu
008 211203s2019 flu ob 000 0 eng d
020 $a 9780429488443$q(electronic bk.)
020 $a 0429488440$q(electronic bk.)
020 $a 9780429948909$q(electronic bk. ;$qMobipocket)
020 $a 0429948905$q(electronic bk. ;$qMobipocket)
020 $a 9780429948923$q(electronic bk. ;$qPDF)
020 $a 0429948921$q(electronic bk. ;$qPDF)
020 $a 9780429948916$q(electronic bk. ;$qEPUB)
020 $a 0429948913$q(electronic bk. ;$qEPUB)
020 $z 9781138591523
020 $z 1138591521
035 $a 9780429488443
040 $a OCoLC-P $b eng $c OCoLC-P
050 4 $a QA280 $b .B765 2019eb
082 0 4 $a 519.5/5 $2 23
100 1 $a Broemeling, Lyle D., $d 1939- $3 183695
245 1 0 $a Bayesian analysis of time series $h [electronic resource] / $c Lyle D. Broemeling.
250 $a 1st ed.
260 $a Boca Raton : $b CRC Press, $c c2019.
300 $a 1 online resource.
504 $a Includes bibliographical references.
520 $a In many branches of science relevant observations are taken sequentially over time. Bayesian Analysis of Time Series discusses how to use models that explain the probabilistic characteristics of these time series and then utilizes the Bayesian approach to make inferences about their parameters. This is done by taking the prior information and via Bayes theorem implementing Bayesian inferences of estimation, testing hypotheses, and prediction. The methods are demonstrated using both R and WinBUGS. The R package is primarily used to generate observations from a given time series model, while the WinBUGS packages allows one to perform a posterior analysis that provides a way to determine the characteristic of the posterior distribution of the unknown parameters. Features Presents a comprehensive introduction to the Bayesian analysis of time series. Gives many examples over a wide variety of fields including biology, agriculture, business, economics, sociology, and astronomy. Contains numerous exercises at the end of each chapter many of which use R and WinBUGS. Can be used in graduate courses in statistics and biostatistics, but is also appropriate for researchers, practitioners and consulting statisticians. About the author Lyle D. Broemeling, Ph.D., is Director of Broemeling and Associates Inc., and is a consulting biostatistician. He has been involved with academic health science centers for about 20 years and has taught and been a consultant at the University of Texas Medical Branch in Galveston, The University of Texas MD Anderson Cancer Center and the University of Texas School of Public Health. His main interest is in developing Bayesian methods for use in medical and biological problems and in authoring textbooks in statistics. His previous books for Chapman & Hall/CRC include Bayesian Biostatistics and Diagnostic Medicine, and Bayesian Methods for Agreement.
588 $a Description based on print version record.
650 0 $a Time-series analysis $3 268952
650 0 $a Bayesian statistical decision theory $v Textbooks. $3 443102
856 4 0 $u https://www.taylorfrancis.com/books/9780429488443