Bayesian Analysis Time Series (88 results)
Language: English
Published by Chapman and Hall/CRC, 1994
Series: Book 8 of 126 - Chapman & Hall/CRC Texts in Statistical Science
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Language: English
Published by CRC Press, 1994
Series: Book 8 of 126 - Chapman & Hall/CRC Texts in Statistical Science
- Hardcover
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Language: English
Published by CRC Press, 1994
Series: Book 8 of 126 - Chapman & Hall/CRC Texts in Statistical Science
- Hardcover
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Paperback or Softback. Condition: New. Hands-On Time Series Analysis with R - Second Edition: Build accurate forecasting models using ARIMA, Prophet, TBATS, Bayesian methods, and deep learn. Book.
Language: English
Published by Chapman and Hall/CRC, 1994
Series: Book 8 of 126 - Chapman & Hall/CRC Texts in Statistical Science
- Hardcover
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Language: English
Published by North-Holland Publ. Co., Amsterdam, The Netherlands., &c., 1980
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Hardcover. Condition: Good. No Jacket. xi, 180 p.
Language: English
Published by Amsterdam and others, North - Holland publishing company,, 1980
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Add to basketGr.8°, original hard cover. Dissertation. 180 p. Well - founded edition, shelfmark, stamped, otherwise very fine copy. Sprache: Englisch Gewicht in Gramm: 0.
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Paperback. Condition: New. 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 authorLyle 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 and Hall/CRC include Bayesian Biostatistics and Diagnostic Medicine, and Bayesian Methods for Agreement.…
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Language: English
Published by Chapman and Hall/CRC 2019-12-02, 2019
Series: Book 8 of 126 - Chapman & Hall/CRC Texts in Statistical Science
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Language: English
Published by Chapman and Hall/CRC, 2019
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Language: English
Published by Chapman and Hall/CRC, 2019
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Language: English
Published by Chapman and Hall/CRC, 2019
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Language: English
Published by Chapman and Hall/CRC, 2019
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- Softcover
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