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Synopsis
This is an introduction to time series that emphasizes methods and analysis of data sets. The logic and tools of model-building for stationary and non-stationary time series are developed and numerous exercises, many of which make use of the included computer package, provide the reader with ample opportunity to develop skills. Statisticians and students will learn the latest methods in time series and forecasting, along with modern computational models and algorithms.
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About the Author
Dr. Richard A. Davis Jr. was a professor of geology at the University of South Florida until 2005. He is now an emeritus distinguished university professor at USF and visiting professor/research associate at Harte Research Institute, Texas A&M University in Corpus Christi, Texas. His area of specialization is coastal geology with emphasis on beaches, barrier islands, and tidal inlets. He has written/edited 20 books and about 150 journal articles on topics of oceanography, coastal geology, stratigraphy, and sedimentology. He has been a visiting professor in Australia, New Zealand, the Netherlands, Denmark, Spain, and Germany. And he speaks and teaches workshops at universities all over the world. He holds the Shepard Medal in Marine Geology.
Review
From the reviews:
"The emphasis is on hands-on experience and the friendly software that accompanies the book serves the purpose admirably. ...
The authors should be congratulated for making the subject accessible and fun to learn. The book is a pleasure to read and highly recommended. I regard it as the best introductory text in town." ISI Short Book Reviews
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Introduction to Time Series and Forecasting (Springer Texts in Statistics)
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Introduction to Time Series and Forecasting (Springer Texts in Statistics)
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Introduction to Time Series and Forecasting (Springer Texts in Statistics)
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Introduction to Time Series and Forecasting (Springer Texts in Statistics)
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Springer-Verlag New York Inc., 2002
ISBN 10: 0387953515
ISBN 13: 9780387953519
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Introduction to Time Series and Forecasting (Springer Texts in Statistics)
Published by
Springer-Verlag New York Inc., 2002
ISBN 10: 0387953515
ISBN 13: 9780387953519
Used
Hardcover
Seller: Anybook.com, Lincoln, United Kingdom
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