Optimal Experimental Design with R

DOI10.1201/b10934zbMath1237.62096OpenAlexW1929200301MaRDI QIDQ3002170

Jürgen Pilz, Albrecht Gebhardt, Rob Verdooren, Dieter A. M. K. Rasch

Publication date: 19 May 2011

Full work available at URL: https://doi.org/10.1201/b10934

zbMATH Keywords

confidence intervalsprecisionnonlinear regressionBIB designsvariance modelsminimal size

Mathematics Subject Classification ID

Software, source code, etc. for problems pertaining to statistics (62-04) Optimal statistical designs (62K05) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics (62-01) Statistical block designs (62K10) Sequential statistical analysis (62L10)

Related Items (9)

Determination of minimum and maximum experimental size in one-, two- and three-way ANOVA with fixed and mixed models by R ⋮ Optimal design generation: an approach based on discovery probability ⋮ An inequality for the analysis of variance ⋮ Assessing the Statistical Quality of RNGs ⋮ Minimal Experimental Size in the Three Way ANOVA Cross Classification Model with ApproximateF-Tests ⋮ A sequential triangular test of a correlation coefficient's null-hypothesis: \(0 <\rho\leq\rho_0\) ⋮ A Conjecture about BIBDs ⋮ OPDOE ⋮ History of the statistical design of agricultural experiments

Uses Software

• R

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