A model for extreme stacking of data at endpoints of a distribution: illustration with W-shaped data

DOI10.1016/j.stamet.2012.05.002zbMath1365.62178OpenAlexW2073955003WikidataQ60636824 ScholiaQ60636824MaRDI QIDQ2360910

Scott McClintock, David C. Atkins, Robert J. Gallop, Randall H. Rieger

Publication date: 29 June 2017

Published in: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.stamet.2012.05.002

zbMATH Keywords

zerospowerVuong's testdouble-inflated dataHurdle models

Mathematics Subject Classification ID

Density estimation (62G07) Applications of statistics to social sciences (62P25) Generalized linear models (logistic models) (62J12) Statistics of extreme values; tail inference (62G32)

Related Items (1)

Hurdles and steps: Estimating demand for solar photovoltaics

Uses Software

• CRAN
• SASmixed

Cites Work

• Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
• Inflated beta distributions
• Characterizations of a discrete normal distribution
• A comparison of two approaches for selecting covariance structures in the analysis of repeated measurements
• Zero-Inflated Negative Binomial Mixed Regression Modeling of Over-Dispersed Count Data with Extra Zeros
• Negative Binomial Regression
• Random effect models for repeated measures of zero-inflated count data
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