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Discrete-valued time series are common in practice, but methods for their analysis are not well-known. In recent years, methods have been developed which are specifically designed for the analysis of discrete-valued time series. Hidden Markov and Other Models for Discrete-Valued Time Series introduces a new, versatile, and computationally tractable class of models, the "hidden Markov" models. It presents a detailed account of these models, then applies them to data from a wide range of diverse subject areas, including medicine, climatology, and geophysics. This book will be invaluable to researchers and postgraduate and senior undergraduate students in statistics. Researchers and applied statisticians who analyze time series data in medicine, animal behavior, hydrology, and sociology will also find this information useful.
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Previews available in: English
Edition | Availability |
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Hidden Markov and other models for discrete-valued time series
1997, Chapman & Hall
in English
- 1st ed.
0412558505 9780412558504
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Includes bibliographical references (p. [217]-226) and indexes.
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- Created April 1, 2008
- 16 revisions
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