Handbook of Discrete-Valued Time Series

Handbook of Discrete-Valued Time Series
Author: Richard A. Davis
Publisher: CRC Press
Total Pages: 484
Release: 2016-01-06
Genre: Mathematics
ISBN: 1466577746


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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 ca


Handbook of Discrete-Valued Time Series
Language: en
Pages: 484
Authors: Richard A. Davis
Categories: Mathematics
Type: BOOK - Published: 2016-01-06 - Publisher: CRC Press

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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 incorpo
An Introduction to Discrete-Valued Time Series
Language: en
Pages: 300
Authors: Christian H. Weiss
Categories: Mathematics
Type: BOOK - Published: 2018-02-05 - Publisher: John Wiley & Sons

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A much-needed introduction to the field of discrete-valued time series, with a focus on count-data time series Time series analysis is an essential tool in a wi
Discrete-Valued Time Series
Language: en
Pages: 0
Authors: Christian H Weiss
Categories: Mathematics
Type: BOOK - Published: 2024-03-12 - Publisher:

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The analysis and modeling of time series has been an active research area for more than 100 years, with the main focus on time series having a continuous range
Analysis of Discrete-valued Time Series
Language: en
Pages: 288
Authors: Isabel Silva
Categories:
Type: BOOK - Published: 2012 - Publisher: LAP Lambert Academic Publishing

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Discrete-valued time series are common in practice, yet methods for their analysis have been developed only recently. The fact that the variables take values on
The Analysis of Time Series
Language: en
Pages: 349
Authors: Chris Chatfield
Categories: Mathematics
Type: BOOK - Published: 2016-03-30 - Publisher: CRC Press

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Since 1975, The Analysis of Time Series: An Introduction has introduced legions of statistics students and researchers to the theory and practice of time series