Extended zero-one inflated beta and adjusted three-part regression models for proportional data analysis
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Publication:4638812
DOI10.1080/03610918.2016.1197248zbMath1388.62217OpenAlexW2480710443MaRDI QIDQ4638812
Publication date: 30 April 2018
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2016.1197248
Monte Carlo studyroot mean square erroradjusted three-part modelextended zero-one inflated beta modelproportional response data
Uses Software
Cites Work
- Beta Regression for Modelling Rates and Proportions
- Influence diagnostics in a general class of beta regression models
- A general class of zero-or-one inflated beta regression models
- Inflated beta distributions
- Improved estimators for a general class of beta regression models
- Numerical Optimization
- Three-part model for fractional response variables with application to Chinese household health insurance coverage
- Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods
- Regression analysis of variates observed on (0, 1): percentages, proportions and fractions
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