- Category: Books » Mathematics » Probability & Statistics - General
- Format: Hardcover Learn more about the Hardcover format using Tower WIKI.
- Number of Pages: 704
- ISBN: 0470272848
- WAPI (Tower ID): 111475957
- Release Date: June 30, 2008
- Average Customer Review: There are no customer reviews yet. Be the first to write a review!
- Tower.com Sales Rank: #307566 in Books (See Top 100 Books Bestsellers)
- #2368 in Mathematics (See Top 100 Mathematics Bestsellers)
- #415 in Probability & Statistics - General (See Top 100 Probability & Statistics - General Bestsellers)
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Product DescriptionRun a Quick Search on "Time Series Analysis" by George E.P. Box to Browse Related Products:Browse more products related to "Time Series Analysis"Browse more products related to "George E.P. Box, Gregory C. Reinsel and Gwilym M. Jenkins"Publisher's noteThis is a revision of a classic, seminal, and authoritative book that has been the model for most books on the topic written since 1970. It focuses on practical techniques throughout, rather than a rigorous mathematical treatment of the subject. It explores the building of stochastic (statistical) models for time series and their use in important areas of application forecasting, model specification, estimation, modeling the effects of intervention events, and process control, among others. In addition to meticulous modifications in content and improvements in style, the new edition incorporates several new topics in an effort to modernize the subject matter. These topics include extensive discussions of multivariate time series, smoothing, likelihood function based on the state space model, autoregressive models, structural component models and deterministic seasonal components, and nonlinear and long memory models. AnnotationThis is a revision of a classic, seminal, and authoritative book that has been the model for most books on the topic written since 1970. It focuses on practical techniques throughout, rather than a rigorous mathematical treatment of the subject. It explores the building of stochastic (statistical) models for time series and their use in important areas of application forecasting, model specification, estimation, modeling the effects of intervention events, and process control, among others. In addition to meticulous modifications in content and improvements in style, the new edition incorporates several new topics in an effort to modernize the subject matter. These topics include extensive discussions of multivariate time series, smoothing, likelihood function based on the state space model, autoregressive models, structural component models and deterministic seasonal components, and nonlinear and long memory models. If You Enjoy "Time Series Analysis (Hardcover)", May We Also Recommend:Customer Reviews for "Time Series Analysis (Hardcover)" by George E.P. Box (Author)There are no customer reviews yet. Be the first to write a review! Probability & Statistics - General BestsellersMathematics Bestselling Books
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