Forecasting with exponential smoothing: the state space approach

By:

Hyndman, Rob

Contributor(s):

Material type: Text

TextSeries: Springer series in statisticsPublication details: Berlin Springer 2008Description: XIII, 359 pISBN:

9783540719168

Subject(s):

DDC classification:

658.40355 R7F3

Summary: Exponential smoothing methods have been around since the 1950s, and are the most popular forecasting methods used in business and industry. Recently, exponential smoothing has been revolutionized with the introduction of a complete modeling framework incorporating innovations state space models, likelihood calculation, prediction intervals and procedures for model selection. In this book, all of the important results for this framework are brought together in a coherent manner with consistent notation. In addition, many new results and extensions are introduced and several application areas are examined in detail.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Book	Nagpur General Stacks	Non-fiction	658.403 55 R7F3 (Browse shelf(Opens below))	Available		IIMN-001774

Total holds: 0

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Exponential smoothing methods have been around since the 1950s, and are the most popular forecasting methods used in business and industry. Recently, exponential smoothing has been revolutionized with the introduction of a complete modeling framework incorporating innovations state space models, likelihood calculation, prediction intervals and procedures for model selection. In this book, all of the important results for this framework are brought together in a coherent manner with consistent notation. In addition, many new results and extensions are introduced and several application areas are examined in detail.

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