Estimating Box-Cox power transformation parameter via goodness-of-fit tests

DOI10.1080/03610918.2014.957839zbMath1359.62069arXiv1401.3812OpenAlexW2061513034MaRDI QIDQ59066

Ozlem Ilk, Özgür Asar, Osman Dag, Ozgur Asar, Osman Dag, Ozlem Ilk

Publication date: 12 December 2014

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

Full work available at URL: https://arxiv.org/abs/1401.3812

zbMATH Keywords

searching algorithmsstatistical softwarenormality testsdata transformationartificial covariate

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Linear regression; mixed models (62J05) Point estimation (62F10) Linear inference, regression (62J99)

Related Items (2)

Testing for a single mean with transformed data ⋮ An algorithm for estimating Box–Cox transformation parameter in ANOVA

Uses Software

• Matlab
• R
• BHH2
• AID
• boxcoxfr

Cites Work

• Unnamed Item
• A class of Box-Cox transformation models for recurrent event data
• Monte Carlo comparison of seven normality tests
• Jarque–Bera Test and its Competitors for Testing Normality – A Power Comparison
• Estimating the box-cox transformation via shapiro-wilkWStatistic
• A Test for Normality of Observations and Regression Residuals
• Comparisons of various types of normality tests

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