Joint Estimation of Location, Dispersion, and Random Effects in Robust Design

DOI10.2307/1271393zbMath0896.62082OpenAlexW1982149220MaRDI QIDQ4384145

Randy Tobias, Russell D. Wolfinger

Publication date: 11 October 1998

Full work available at URL: https://doi.org/10.2307/1271393

zbMATH Keywords

REMLmixed-modelTaguchi methodsEBLUPnoise variableslog-linear variance model

Mathematics Subject Classification ID

Design of statistical experiments (62K99) Applications of statistics in engineering and industry; control charts (62P30)

Related Items (8)

Computational issues with fitting joint location/dispersion models in unreplicated \(2^k\) factorials ⋮ Analyzing location and dispersion in unreplicated fractional factorials. ⋮ Double generalized linear model for tissue culture proportion data: a Bayesian perspective ⋮ Variable selection in joint mean and dispersion models via double penalized likelihood ⋮ An Application of a Mixed-Effects Location Scale Model for Analysis of Ecological Momentary Assessment (EMA) Data ⋮ Two-level factorial designs for searching dispersion factors and estimating location main effects ⋮ Identification of dispersion effects in replicated two-level fractional factorial experiments ⋮ Identification of dispersion effects from unreplicated \(2^{n-k}\) fractional factorial designs

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