Testing the Lack-of-Fit of Zero-Inflated Poisson Regression Models

DOI10.1080/03610918.2010.546541zbMath1217.62062OpenAlexW2066802035MaRDI QIDQ3015862

Chin-Shang Li

Publication date: 13 July 2011

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

Full work available at URL: https://doi.org/10.1080/03610918.2010.546541

zbMATH Keywords

\(B\)-splinesexpectation-maximization (EM) algorithmlog-likelihood ratio test

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Nonparametric estimation (62G05)

Related Items (1)

Determination of Single Sampling Plans by Attributes Under the Conditions of Zero-Inflated Poisson Distribution

Cites Work

• On Polya frequency functions. IV: The fundamental spline functions and their limits
• 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 practical guide to splines.

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