A lack-of-fit test for parametric zero-inflated Poisson models

DOI10.1080/00949651003677410zbMath1431.62314OpenAlexW2058375699MaRDI QIDQ4914956

Chin-Shang Li

Publication date: 16 April 2013

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949651003677410

zbMATH Keywords

\(B\)-splineexpectation-maximization (EM) algorithmsemiparametric zero-inflated Poisson regression model

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03) Generalized linear models (logistic models) (62J12)

Related Items (9)

Analysis of longitudinal ordinal data using semi-parametric mixed model under missingness ⋮ Semiparametric estimation of a zero-inflated Poisson regression model with missing covariates ⋮ Estimation in the zero-inflated bivariate Poisson model, with an application to health-care utilization data ⋮ Simultaneous confidence bands in a zero-inflated regression model for binary data ⋮ A test for lack-of-fit of zero-inflated negative binomial models ⋮ Identifiability of zero-inflated Poisson models ⋮ Analysis of multinomial counts with joint zero-inflation, with an application to health economics ⋮ Simulation-based Inference in a Zero-inflated Bernoulli Regression Model ⋮ Estimation of a zero-inflated Poisson regression model with missing covariates via nonparametric multiple imputation methods

Cites Work

• On Polya frequency functions. IV: The fundamental spline functions and their limits
• A Score Test for Testing a Zero‐Inflated Poisson Regression Model Against Zero‐Inflated Negative Binomial Alternatives
• Marginal models for zero inflated clustered data
• Analyzing Excessive No Changes in Clinical Trials with Clustered Data
• Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
• Spline Functions in Data Analysis
• A Score Test for Zero Inflation in a Poisson Distribution
• Random effect models for repeated measures of zero-inflated count data
• Two-component mixtures of generalized linear mixed effects models for cluster correlated data
• Smooth Tests for the Zero‐Inflated Poisson Distribution
• A practical guide to splines.

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