On choosing between fixed and random block effects in some no-interaction models

DOI10.1016/S0378-3758(00)00122-1zbMath0958.62069OpenAlexW2035699938MaRDI QIDQ1591288

Jitendra Ganju

Publication date: 10 April 2001

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0378-3758(00)00122-1

zbMATH Keywords

balanced incomplete block designsunbalanced datablock variance component

Mathematics Subject Classification ID

Statistical block designs (62K10) Response surface designs (62K20)

Related Items (2)

An algorithmic framework for generating optimal two-stratum experimental designs ⋮ Blocking response surface designs

Cites Work

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• Monte Carlo Comparison of ANOVA, MIVQUE, REML, and ML Estimators of Variance Components
• Two-Stage Analysis Based on a Mixed Model: Large-Sample Asymptotic Theory and Small-Sample Simulation Results
• Measures of Lack of Fit for Response Surface Designs and Predictor Variable Transformations
• Response Surface Models with Random Block Effects

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