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Applied Bayesian Forecasting and Time Series Analysis (Chapman & Hall/CRC Texts in Statistical Science) - Tapa dura
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Críticas
"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
Reseña del editor
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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- EditorialChapman and Hall/CRC
- Año de publicación1994
- ISBN 10 0412044013
- ISBN 13 9780412044014
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de edición1
- Número de páginas430
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Applied Bayesian Forecasting and Time Series Analysis
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ISBN 10: 0412044013
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Applied Bayesian Forecasting and Time Series Analysis (Chapman & Hall/CRC Texts in Statistical Science)
Publicado por
Chapman and Hall/CRC, 1994
ISBN 10: 0412044013
ISBN 13: 9780412044014
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Applied Bayesian Forecasting and Time Series Analysis
Publicado por
Chapman & Hall, 1994
ISBN 10: 0412044013
ISBN 13: 9780412044014
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Tapa dura
Librería: Anybook.com, Lincoln, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,850grams, ISBN:9780412044014. Nº de ref. del artículo: 5840887
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Applied Bayesian Forecasting and Time Series Analysis
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ISBN 10: 0412044013
ISBN 13: 9780412044014
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Applied Bayesian Forecasting and Time Series Analysis
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ISBN 13: 9780412044014
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Applied Bayesian Forecasting and Time Series Analysis
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Chapman and Hall/CRC, 1994
ISBN 10: 0412044013
ISBN 13: 9780412044014
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Applied Bayesian Forecasting and Time Series Analysis
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Applied Bayesian Forecasting and Time Series Analysis (Hardcover)
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Hardcover. Condición: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9780412044014
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Applied Bayesian Forecasting and Times Series Analysis
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Chapman and Hall/CRC, 1994
ISBN 10: 0412044013
ISBN 13: 9780412044014
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