Handbook of Discrete-Valued Time Series - Chapman & Hall / CRC Handbooks of Modern Statistical Methods -  - Books - Taylor & Francis Inc - 9781466577732 - December 21, 2015
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Handbook of Discrete-Valued Time Series - Chapman & Hall / CRC Handbooks of Modern Statistical Methods 1st edition

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Model a Wide Range of Count Time Series

Handbook of Discrete-Valued Time Series presents state-of-the-art methods for modeling time series of counts and incorporates frequentist and Bayesian approaches for discrete-valued spatio-temporal data and multivariate data. While the book focuses on time series of counts, some of the techniques discussed can be applied to other types of discrete-valued time series, such as binary-valued or categorical time series.

Explore a Balanced Treatment of Frequentist and Bayesian Perspectives

Accessible to graduate-level students who have taken an elementary class in statistical time series analysis, the book begins with the history and current methods for modeling and analyzing univariate count series. It next discusses diagnostics and applications before proceeding to binary and categorical time series. The book then provides a guide to modern methods for discrete-valued spatio-temporal data, illustrating how far modern applications have evolved from their roots. The book ends with a focus on multivariate and long-memory count series.

Get Guidance from Masters in the Field

Written by a cohesive group of distinguished contributors, this handbook provides a unified account of the diverse techniques available for observation- and parameter-driven models. It covers likelihood and approximate likelihood methods, estimating equations, simulation methods, and a Bayesian approach for model fitting.


492 pages, 80 black & white illustrations, 37 black & white tables

Media Books     Hardcover Book   (Book with hard spine and cover)
Released December 21, 2015
ISBN13 9781466577732
Publishers Taylor & Francis Inc
Pages 484
Dimensions 261 × 185 × 36 mm   ·   1.06 kg
Language English  
Editor Davis, Richard A. (Columbia University, New York, New York, USA)
Editor Holan, Scott H. (University of Missouri, Columbia, USA)
Editor Lund, Robert (Clemson University, USA)
Editor Ravishanker, Nalini (University of Connecticut, Storrs, USA)

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