Inference for general parametric functions in box-Cox-type transformation models

DOI10.1002/CJS.5550360208zbMath1144.62048OpenAlexW1990572896MaRDI QIDQ3526432

Eden K. H. Wu, Zhenlin Yang, Anthony F. Desmond

Publication date: 25 September 2008

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://ink.library.smu.edu.sg/soe_research/297

zbMATH Keywords

robustnessconfidence intervalmarginal effectsurvivor functionvariance inflation factorpercentile function

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Parametric tolerance and confidence regions (62F25) Asymptotic distribution theory in statistics (62E20) Linear regression; mixed models (62J05) Monte Carlo methods (65C05)

Related Items (1)

Percentile estimation based on the power-normal distribution

Cites Work

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• A modified family of power transformations
• An Alternative Family of Transformations
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• The Analysis of Transformed Data
• Transforming the Dependent Variable in Regression Models
• The Large-Sample Behavior of Transformations to Normality
• An Analysis of Transformations Revisited
• Confidence intervals following Box‐Cox transformation
• Estimation for the Box-Cox Transformation Model Without Assuming Parametric Error Distribution
• An Analysis of Transformations Revisited, Rebutted
• Median estimation through a regression transformation

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