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OverviewFull Product DetailsAuthor: Wayne A. Woodward (Southern Methodist University, Dallas, Texas, USA) , Bivin Philip Sadler (Technical Assistant Professor, Southern Methodist University) , Stephen RobertsonPublisher: Taylor & Francis Ltd Imprint: Chapman & Hall/CRC Weight: 0.453kg ISBN: 9780367543891ISBN 10: 0367543893 Pages: 528 Publication Date: 27 May 2024 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Not yet available  This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release. Table of ContentsReviews"""A well-structured text aimed at undergraduates pursuing a data science curriculum, or MBA students. The authors draw upon their vast combined experience in research and teaching to a variety of audiences to present the classical material on ARMA-based Box-Jenkins methodology without assuming a calculus background. Yet, their approach manages to be heuristic, while not sacrificing relevant theoretical detail that enriches understanding. The authors complement this material with chapters on multivariate models, and, refreshingly, a very enlightening discussion on neural networks. The exposition is lucid, well-organized, and copiously illustrated to reinforce comprehension of concepts. The companion R package (tswge) finds a niche in the growing list of time series toolboxes, by providing clean, straightforward functionality on such essentials as spectrum reconstruction and model factor tables to glean the structure of AR and MA polynomials."" - Alex Trindade, Texas Tech University" Author InformationWayne Woodward, Bivin Sadler, Stephen Robertson Tab Content 6Author Website:Countries AvailableAll regions |
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