Some asymptotic inferential aspects of the Kumaraswamy distribution

DOI10.1080/03610926.2023.2241091MaRDI QIDQ6588653

[[Person:6588652|Author name not available (Why is that?)]], Mônica C. Sandoval, Tiago M. Magalhães, Denise A. Botter

Publication date: 16 August 2024

Published in: Communications in Statistics. Theory and Methods (Search for Journal in Brave)

Mathematics Subject Classification ID

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Cites Work

• Title not available (Why is that?)
• Kumaraswamy's distribution: a beta-type distribution with some tractability advantages
• Improved likelihood inference in Birnbaum-Saunders regressions
• Skewness of maximum likelihood estimators in dispersion models
• An introduction to Bartlett correction and bias reduction
• Exact posterior computation for the binomial-Kumaraswamy model
• Improved heteroskedasticity likelihood ratio tests in symmetric nonlinear regression models
• Asymptotic skewness for the beta regression model
• Asymptotic Skewness in Exponential Family Nonlinear Models
• Asymptotic skewness and the distribution of maximum likelihood esimators
• SKEWNESS FOR PARAMETERS IN GENERALIZED LINEAR MODELS
• Bartlett and Bartlett-type corrections for censored data from a Weibull distribution
• Skewness of maximum likelihood estimators in the varying dispersion beta regression model
• The Kumaraswamy normal linear regression model with applications
• Higher-order asymptotic refinements in the multivariate Dirichlet regression model
• Improved point estimation for the Kumaraswamy distribution
• Properties of sufficiency and statistical tests
• The Large-Sample Distribution of the Likelihood Ratio for Testing Composite Hypotheses
• Tests of Statistical Hypotheses Concerning Several Parameters When the Number of Observations is Large

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