A Methodology to Implement Box-Cox Transformation When No Covariate is Available

DOI10.1080/03610918.2012.744042zbMath1333.62011OpenAlexW2012784521MaRDI QIDQ5418902

Osman Dag, Ozgur Asar, Ozlem Ilk

Publication date: 30 May 2014

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2012.744042

zbMATH Keywords

regression analysisnormalitymaximum likelihood estimationstatistical distributionsdata transformationnon-informative covariate

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05) Approximations to statistical distributions (nonasymptotic) (62E17)

Related Items (1)

An algorithm for estimating Box–Cox transformation parameter in ANOVA

Uses Software

• boxcoxfr
• Unnamed Item

Cites Work

• Beta Regression for Modelling Rates and Proportions
• Box-Cox transformation for spatial linear models: a study on lattice data
• A class of Box-Cox transformation models for recurrent event data
• Quantile regression, Box-Cox transformation model and the U.S. wage structure, 1963--1987
• Estimating the box-cox transformation via shapiro-wilkWStatistic
• Using a Box–Cox Transformation in the Analysis of Longitudinal Data with Incomplete Responses
• Unnamed Item

This page was built for publication: A Methodology to Implement Box-Cox Transformation When No Covariate is Available