Design and Analysis of Experiments

DOI10.1002/0471709948zbMath1085.62086OpenAlexW2483479423MaRDI QIDQ4680349

Oscar Kempthorne, Klaus Hinkelmann

Publication date: 1 June 2005

Published in: Wiley Series in Probability and Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/0471709948

zbMATH Keywords

fractional factorial designsmain effect planscrossover designssearch designssupersaturated designsfactors at two and three levelsincomplete block and row-column designsrobust designs Taguchi experiments lattice designssymmetrical and asymmetrical factorial designs

Mathematics Subject Classification ID

Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics (62-01) Research exposition (monographs, survey articles) pertaining to statistics (62-02) Statistical block designs (62K10) Factorial statistical designs (62K15) Analysis of variance and covariance (ANOVA) (62J10) Design of statistical experiments (62Kxx)

Related Items (15)

Universally optimal balanced changeover designs with first residuals ⋮ The efficiency and optimality characterization of certain six-Treatment incomplete-Block designs emanating from some quasi-Semi-Latin squares ⋮ Rerandomization in \(2^K\) factorial experiments ⋮ Comparing Inference Methods for Non‐probability Samples ⋮ Analysis of cross‐over experiments with count data in the presence of carry‐over effects ⋮ Row‐column factorial designs with multiple levels ⋮ Design issues related to allocation of experimental units with known covariates into two treatment groups ⋮ Estimation Bias in Complete-Case Analysis in Crossover Studies with Missing Data ⋮ Two-Step Residual-Based Estimation of Error Variances for Generalized Least Squares in Split-Plot Experiments ⋮ EFFICIENCY FACTORS FOR LINEAR CONTRASTS IN CONFOUNDED ASYMMETRICAL FACTORIAL DESIGNS ⋮ On Φ_p-optimality of Incomplete Block Designs: An Algorithm ⋮ Nearly resolution V plans on blocks of small size ⋮ Full Estimation Capacity Hierarchical Fractional Factorial Designs for a Class of Models ⋮ Multiple Randomizations ⋮ Section Editor's Notes

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