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Bayesian analysis of time series /
~
Broemeling, Lyle D., (1939-)
Bayesian analysis of time series /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Bayesian analysis of time series /Lyle D. Broemeling.
Author:
Broemeling, Lyle D.,
Description:
xi, 280 pages ;24 cm
Subject:
Time-series analysis
ISBN:
9781138591523
Bayesian analysis of time series /
Broemeling, Lyle D.,1939-
Bayesian analysis of time series /
Lyle D. Broemeling. - xi, 280 pages ;24 cm
Includes bibliographical references and index.
"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."
ISBN: 9781138591523GBP$130.00
LCCN: 2018061555Subjects--Topical Terms:
268952
Time-series analysis
Index Terms--Genre/Form:
708244
Textbooks.
LC Class. No.: QA280 / .B765 2019
Dewey Class. No.: 519.5/5
Bayesian analysis of time series /
LDR
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570478
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OCoLC
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20200823223107.0
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200824s2019 flua b 001 0 eng
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Broemeling, Lyle D.,
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1939-
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Bayesian analysis of time series /
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Lyle D. Broemeling.
264
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Boca Raton, FL :
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CRC Press, Taylor & Francis Group,
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[2019]
300
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xi, 280 pages ;
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24 cm
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text
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Includes bibliographical references and index.
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"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."
$c
--From publisher's description.
650
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Time-series analysis
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268952
650
0
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Bayesian statistical decision theory
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Textbooks.
$3
443102
650
7
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Bayesian statistical decision theory.
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182005
650
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Time-series analysis.
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Bayes-Entscheidungstheorie
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857115
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Zeitreihenanalyse
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857116
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Textbooks.
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fast
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708244
938
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YBP Library Services
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YANK
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15937280
994
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C0
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TWNUK
based on 0 review(s)
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西方語文圖書區(四樓)
Items
1 records • Pages 1 •
1
Inventory Number
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Attachments
320000724387
西方語文圖書區(四樓)
1圖書
一般圖書
QA280 B863 2019
一般使用(Normal)
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0
1 records • Pages 1 •
1
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