Applied Bayesian Forecasting and Time Series Analysis by Andy Pole (English) Har

Description: Applied Bayesian Forecasting and Time Series Analysis by Andy Pole, Mike West, Jeff Harrison This book is about practical forecasting and analysis of time series. It describes how to analyse time series data, how to identify structure, how to explain observed behaviour, how to model structures and behaviours, and how to use insight gained from the analysis to make informed forecasts. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description 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. Author Biography Pole, Andy; West, Mike; Harrison, Jeff Table of Contents Part A: Dynamic Bayesian Modelling Theory and Applications 1. Practical Modelling and Forecasting 2. Methodological Framework 3. Analysis of the DLM 4. Application: Turkey Chick Sales 5. Application: Market Share 6. Application: Marriages in Greece 7. Further Examples and Exercises Part B: Interactive Time Series Analysis and Forecasting 8. Installing BATS 9. Tutorials Introduction to BATS 10. Tutorial: Introduction to Modelling 11. Tutorial: Advanced Modelling 12. Tutorial: Modelling with Incomplete Data 13. Tutorial: Data Management Part C: Bats Reference 14. Communications 15. Menu Descriptions Review "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 Statistician Details ISBN0412044013 Author Jeff Harrison Short Title APPLIED BAYESIAN FORECASTING & Language English ISBN-10 0412044013 ISBN-13 9780412044014 Media Book Format Hardcover DEWEY 519.55 Year 1994 Imprint Chapman & Hall/CRC Edition 1st Series Number 29 Series Chapman & Hall/CRC Texts in Statistical Science Illustrations 200 Illustrations, black and white Affiliation MD Invictus Partners, USA DOI 10.1604/9780412044014 UK Release Date 1994-09-01 AU Release Date 1994-09-01 NZ Release Date 1994-09-01 US Release Date 1994-09-01 Pages 430 Publisher Taylor & Francis Ltd Publication Date 1994-09-01 Alternative 9780367449384 Audience Tertiary & Higher Education Country of Publication United Kingdom We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:119331240;

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