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portada Bivariate Integer-Valued Time Series Models
Type
Physical Book
Publisher
Author
Language
English
Pages
230
Format
Hardcover
ISBN13
9781032987675
Edition No.
1

Bivariate Integer-Valued Time Series Models

Sunecher Yuvraj; Mamode Khan Naushad; Vandna Jowaheer (Author) · Crc Pr Inc · Hardcover

Bivariate Integer-Valued Time Series Models - Sunecher Yuvraj; Mamode Khan Naushad; Vandna Jowaheer

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Synopsis "Bivariate Integer-Valued Time Series Models"

This book proposes some novel models based on the autoregressive and moving average structures under various distributional assumptions of the innovation series for analysing non-stationary bivariate time series of counts.Time series of count responses are recorded for different correlated variables which may be marginally dispersed relative to their means, may exhibit different levels of dispersion and may be commonly influenced by one or more dynamic explanatory variables. Analysis of such type of bivariate time series data is quite challenging and the challenge mounts up further if these time series are non-stationary. This book proposes some bivariate models that allow for different levels of dispersion as well as non-stationarity. Specifically, BINAR(1) and BINMA(1) models under Poisson, NB and COM-Poisson innovations are constructed and tested. Another important contribution of this book is in developing a novel estimation procedure for estimating the parameters of the proposed BINAR(1) and BINMA(1) models. Hence, a new estimation approach based on the GQL is proposed. Monte-Carlo simulations are implemented to assess the performance of the GQL. In some simple cases of stationarity, we also compare the GQL with the other estimation techniques such as CMLE and FGLS.This book is a useful resource for undergraduate students, postgraduate students, researchers and academics in the field of time series models.

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