The BerG generalized autoregressive moving average model for count time series

CONWAY–MAXWELL–POISSON AUTOREGRESSIVE MOVING AVERAGE MODEL FOR EQUIDISPERSED, UNDERDISPERSED, AND OVERDISPERSED COUNT DATA

(2020) Moizes Melo et al.   JOURNAL OF TIME SERIES ANALYSIS

A new mixed first-order integer-valued autoregressive process with Poisson innovations

(2020) Daniel L. R. Orozco et al.   AStA-Advances in Statistical Analysis

Access to primary healthcare during lockdown measures for COVID-19 in rural South Africa: an interrupted time series analysis

(2020) Mark J Siedner et al.   BMJ Open

Self‐information‐based weighted CUSUM charts for monitoring Poisson count data with varying sample sizes

(2020) Yang Zhang et al.   QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL

Generalized autoregressive and moving average models: multicollinearity, interpretation and a new modified model

(2019) Orlando Yesid Esparza Albarracin et al.   JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION

Reparametrization of COM–Poisson regression models with applications in the analysis of experimental data

(2019) Eduardo E Ribeiro et al.   STATISTICAL MODELLING

A Dynamical and Zero-Inflated Negative Binomial Regression Modelling of Malaria Incidence in Limpopo Province, South Africa

(2019) Gbenga J. Abiodun et al.   International Journal of Environmental Research and Public Health

Zero-inflated count time series models using Gaussian copula

(2019) Mohammed Alqawba et al.   Sequential Analysis-Design Methods and Applications

Prediction and causal analysis of defects in steel products: Handling nonnegative and highly overdispersed count data

(2019) Xinmin Zhang et al.   CONTROL ENGINEERING PRACTICE

A novel approach for modeling positive vectors with inverted Dirichlet-based hidden Markov models

(2019) Rim Nasfi et al.   KNOWLEDGE-BASED SYSTEMS

Decoding and modelling of time series count data using Poisson hidden Markov model and Markov ordinal logistic regression models

(2018) Tunny Sebastian et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

A time-series model for underdispersed or overdispersed counts

(2018) Iain L. MacDonald et al.   AMERICAN STATISTICIAN

Kumaraswamy autoregressive moving average models for double bounded environmental data

(2017) Fábio Mariano Bayer et al.   JOURNAL OF HYDROLOGY

Extended Poisson–Tweedie: Properties and regression models for count data

(2017) Wagner H. Bonat et al.   STATISTICAL MODELLING

An INAR(1) process for modeling count time series with equidispersion, underdispersion and overdispersion

(2017) Marcelo Bourguignon et al.   TEST

An INAR(1) process for modeling count time series with equidispersion, underdispersion and overdispersion

(2017) Marcelo Bourguignon et al.   TEST

Zero-inflated Poisson and negative binomial integer-valued GARCH models

(2011) Fukang Zhu   JOURNAL OF STATISTICAL PLANNING AND INFERENCE

Modeling time series of counts with COM-Poisson INGARCH models

(2011) Fukang Zhu   MATHEMATICAL AND COMPUTER MODELLING

A flexible regression model for count data

(2010) Kimberly F. Sellers et al.   Annals of Applied Statistics

Thinning operations for modeling time series of counts—a survey

(2008) Christian H. Weiß   AStA-Advances in Statistical Analysis

Beta autoregressive moving average models

(2008) Andréa V. Rocha et al.   TEST