The Kumaraswamy distribution: median-dispersion re-parameterizations for regression modeling and simulation-based estimation

DOI10.1007/s00362-011-0417-yzbMath1257.62013OpenAlexW3122332161MaRDI QIDQ1935694

Pablo A. Mitnik, Sunyoung Baek

Publication date: 19 February 2013

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

Full work available at URL: http://hdl.handle.net/10.1007/s00362-011-0417-y

zbMATH Keywords

limiting distributionsgeneralized linear modelsbeta distributionlatent-variable modelsregression modelingmedian-dispersion parameterizationquantile-spread ordersimulation-based estimation methods

Mathematics Subject Classification ID

Related Items (27)

On a multivariate regression model for rates and proportions ⋮ The unit-Weibull distribution as an alternative to the Kumaraswamy distribution for the modeling of quantiles conditional on covariates ⋮ Complementary beta regression model for fitting bounded data ⋮ On the unit-Chen distribution with associated quantile regression and applications ⋮ A new alternative quantile regression model for the bounded response with educational measurements applications of OECD countries ⋮ Kumaraswamy regression model with Aranda-Ordaz link function ⋮ A new quantile regression model for modeling child mortality ⋮ On a heavy-tailed parametric quantile regression model for limited range response variables ⋮ Unit gamma mixed regression models for continuous bounded data ⋮ A broad class of zero‐or‐one inflated regression models for rates and proportions ⋮ Quasi-beta longitudinal regression model applied to water quality index data ⋮ Residual and local influence analyses for unit gamma regressions ⋮ Inflated Kumaraswamy regressions with application to water supply and sanitation in Brazil ⋮ A robust mixed‐effects parametric quantile regression model for continuous proportions: Quantifying the constraints to vitality in cushion plants ⋮ The unit log–log distribution: a new unit distribution with alternative quantile regression modeling and educational measurements applications ⋮ The unit-Gompertz quantile regression model for the bounded responses ⋮ Autoregressive conditional proportion: A multiplicative‐error model for (0,1)‐valued time series ⋮ Bayesian spatial quantile modeling applied to the incidence of extreme poverty in Lima-Peru ⋮ Unit gamma regression models for correlated bounded data ⋮ Reliability estimation for Kumaraswamy distribution under block progressive type-II censoring ⋮ Flexible quasi-beta regression models for continuous bounded data ⋮ On the unit Burr-XII distribution with the quantile regression modeling and applications ⋮ Bessel regression model: Robustness to analyze bounded data ⋮ Kumaraswamy distribution: different methods of estimation ⋮ A new quantile regression for the COVID-19 mortality rates in the United States ⋮ Beta rectangular regression models to longitudinal data ⋮ The unit extended Weibull families of distributions and its applications

Uses Software

• betareg

Cites Work

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