Minimization of model inadequacy when observations subject to shift in means and variances

DOI10.1080/03610929008830272zbMath0850.62597OpenAlexW2000882928MaRDI QIDQ3135286

No author found.

Publication date: 25 October 1993

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

Full work available at URL: https://doi.org/10.1080/03610929008830272

Mathematics Subject Classification ID

Optimal statistical designs (62K05)

Cites Work

• Minimum Bias Approximation of a General Regression Model
• A new approach to mean squared error estimation of response surfaces
• Designs to guard against outliers in the présence or absence of model bias
• Robust designs
• A Generalization of the Response Surface Mean Square Error Criterion with a Specific Application to the Scope
• Secondary design considerations for minimum bias estimation
• Minimum Bias Estimation and Experimental Design for Response Surfaces
• Optimal Experimental Design for Polynomial Regression
• A Basis for the Selection of a Response Surface Design

This page was built for publication: Minimization of model inadequacy when observations subject to shift in means and variances