An empirical comparison of parametric and semiparametric time series regression models for overdispersed count data-Reference-Cited by-同舟云学术

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An empirical comparison of parametric and semiparametric time series regression models for overdispersed count data

Published:2022-04-05 Issue:4 Volume:25 Page:879-905
ISSN:0972-0510
Container-title:Journal of Statistics and Management Systems
language:en
Short-container-title:Journal of Statistics and Management Systems

Author:

Ghahramani M.¹,White S. S.²,de Leon A. R.³

Affiliation:

1. Department of Mathematics & Statistics, University of Winnipeg, Winnipeg MB, R3B 2E9, Canada

2. Department of Statistics, University of Manitoba, Winnipeg MB, Canada

3. Department of Mathematics & Statistics, University of Calgary, Calgary AB, Canada

Publisher

Taru Publications

Subject

General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/09720510.2021.1960550

Reference29 articles.

1. Modeling corporate defaults: Poisson autoregressions with exogenous covariates (PARX)

2. Poisson QMLE of Count Time Series Models

3. Anil K. Bera, Yannis Bilias, and Pradosh Simlai. Estimating functions and equations: An essay on historical developments with applications to econometrics. In Palgrave Handbook of Econometrics, Vol. 1: Econometric Theory. Palgrave Mcmillan, UK, 2006.

4. Fitting Nonlinear and Constrained Generalized Estimating Equations with Optimization Software

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