A test for lack-of-fit of zero-inflated negative binomial models
From MaRDI portal
Publication:5107392
DOI10.1080/00949655.2019.1577856OpenAlexW2911801589WikidataQ128367725 ScholiaQ128367725MaRDI QIDQ5107392
Chin-Shang Li, Ming-Shan Yeh, Shen-Ming Lee
Publication date: 27 April 2020
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2019.1577856
likelihood ratiocount dataoverdispersionB-splineszero-inflated negative binomialzero-inflated Poisson
Related Items
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Generalized hurdle count data regression models
- Estimating the dimension of a model
- Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
- Score tests for zero-inflated Poisson models
- On modeling claim frequency data in general insurance with extra zeros
- On Polya frequency functions. IV: The fundamental spline functions and their limits
- The analysis of zero-inflated count data: Beyond zero-inflated Poisson regression.
- Negative Binomial Regression
- A Score Test for Testing a Zero‐Inflated Poisson Regression Model Against Zero‐Inflated Negative Binomial Alternatives
- Multilevel zero-inflated negative binomial regression modeling for over-dispersed count data with extra zeros
- Bayesian Analysis of Semiparametric Mixed-Effects Models for Zero-Inflated Count Data
- Marginal models for zero inflated clustered data
- Analyzing Excessive No Changes in Clinical Trials with Clustered Data
- Score Tests for Extra-Zero Models in Zero-Inflated Negative Binomial Models
- Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
- Local Regression and Likelihood
- Semiparametric Regression
- Spline Functions in Data Analysis
- A Score Test for Zero Inflation in a Poisson Distribution
- Zero‐Altered and other Regression Models for Count Data with Added Zeros
- A lack-of-fit test for parametric zero-inflated Poisson models
- Zero-Inflated Negative Binomial Mixed Regression Modeling of Over-Dispersed Count Data with Extra Zeros
- Random effect models for repeated measures of zero-inflated count data
- Two-component mixtures of generalized linear mixed effects models for cluster correlated data
- Univariate Discrete Distributions
- Smooth Tests for the Zero‐Inflated Poisson Distribution
- A practical guide to splines.
