A simulation study for count data models under varying degrees of outliers and zeros

DOI10.1080/03610918.2018.1498886OpenAlexW2903731864WikidataQ128725311 ScholiaQ128725311MaRDI QIDQ5088025

Hülya Olmuş, Semra Oral Erbas, Fatih Tüzen

Publication date: 4 July 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2018.1498886

zbMATH Keywords

outlierscount datahurdle modelszero-inflated models

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

Monitoring a bi-attribute high-quality process using a mixture probability distribution ⋮ Zero-inflated Poisson-Akash distribution for count data with excessive zeros

Uses Software

• COUNT
• Unnamed Item

Cites Work

• Negative Binomial Regression
• Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
• Analysis of Zero-Inflated Poisson Data Incorporating Extent of Exposure
• Regression Analysis of Count Data
• A comparison of count data models with an application to daily cigarette consumption of young persons
• Outlier identification and robust parameter estimation in a zero-inflated Poisson model
• Random effect models for repeated measures of zero-inflated count data

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