"This book has filled a significant gap in the market for statistical texts. It should move Bayesian techniques for time series analysis and forecasting into the standard repertoire of applied statisticians. I think that it is an excellent book, and recommend it, especially to those who are not already familiar with these ideas." -The StatisticianFrom the Publisher:
Practical in its approach, Applied Bayesian Forecasting and Time Series Analysis provides the theories, methods, and tools necessary for forecasting and the analysis of time series. The authors unify the concepts, model forms, and modeling requirements within the framework of the dynamic linear mode (DLM). They include a complete theoretical development of the DLM and illustrate each step with analysis of time series data. Using real data sets the authors: Explore diverse aspects of time series, including how to identify, structure, explain observed behavior, model structures and behaviors, and interpret analyses to make informed forecasts Illustrate concepts such as component decomposition, fundamental model forms including trends and cycles, and practical modeling requirements for routine change and unusual events Conduct all analyses in the BATS computer programs, furnishing online that program and the more than 50 data sets used in the text The result is a clear presentation of the Bayesian paradigm: quantified subjective judgements derived from selected models applied to time series observations. Accessible to undergraduates, this unique volume also offers complete guidelines valuable to researchers, practitioners, and advanced students in statistics, operations research, and engineering.
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Descripción Chapman and Hall/CRC. Hardcover. Estado de conservación: New. 0412044013 New Condition. Nº de ref. de la librería NEW6.0201268
Descripción Chapman and Hall/CRC. Hardcover. Estado de conservación: New. 0412044013 New hardcover book. 1994. DAILY SHIPPING!!. Nº de ref. de la librería 100316-151MA
Descripción Chapman and Hall/CRC, 1994. Estado de conservación: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: DYNAMIC BAYESIAN MODELLING THEORY AND APPLICATIONS, Practical Modelling and Forecasting, Methodological Framework, Analysis of the DLM, Review of Distribution Theory, Classical Time Series Models, Application: Turkey Chick Sales, Application: Market Share, Application: Marriages in Greece, Further Examples and Exercises, INTERACTIVE TIME SERIES ANALYSIS AND FORECASTING, Installing BATS, Tutorial: Introduction to BATS, Files and Directories, Tutorial: Introduction to Modelling, Data. Nº de ref. de la librería ABE_book_new_0412044013
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Descripción Chapman and Hall/CRC, 1994. Hardcover. Estado de conservación: New. book. Nº de ref. de la librería 0412044013
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Descripción Chapman and Hall/CRC, 2017. Hardback. Estado de conservación: NEW. 9780412044014 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Print on Demand title, produced to the highest standard, and there would be a delay in dispatch of around 10 working days. Nº de ref. de la librería HTANDREE0247077
Descripción Chapman and Hall/CRC, 1994. Hardcover. Estado de conservación: New. Nº de ref. de la librería INGM9780412044014
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Descripción Chapman and Hall/CRC, 1994. HRD. Estado de conservación: New. New Book. Delivered from our US warehouse in 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND.Established seller since 2000. Nº de ref. de la librería IP-9780412044014