Comparisons of search designs using search probabilities
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Publication:1611794
DOI10.1016/S0378-3758(01)00258-0zbMath1026.62081MaRDI QIDQ1611794
Lance Teschmacher, Subir Ghosh
Publication date: 28 August 2002
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Related Items (12)
Error sum of squares and power comparisons for model search, identification and discrimina\-tion ⋮ J.N. Srivastava and experimental design ⋮ A Bayesian criterion for selecting super saturated screening designs. ⋮ Effects of noise in performance comparisons of designs for model identification and discrimina\-tion ⋮ Weighted Searching Probability for Classes of Equivalent Search Designs Comparison ⋮ An MEP.2 plan in \(3^n\) factorial experiment and its probability of correct identification ⋮ Optimum two level fractional factorial plans for model identification and discrimination ⋮ Resolvable designs with large blocks ⋮ MV-optimality standardized through the coefficient of variation ⋮ Construction of search designs from orthogonal arrays ⋮ A-Optimality Standardized Through the Coefficient of Variation ⋮ Comparing search and estimation performances of designs based on a compound criterion
Cites Work
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- Main effect plus one or two plans for \(2^ m\) factorials
- On a decision rule using dichotomies for identifying the nonnegligible parameter in certain linear models
- Search designs for \(2^ m\) factorial experiments
- Design and analysis of experiments
- On main effect plus one plans for \(2^ m\) factorials
- Searching probabilities for nonzero effects in search designs for the noisy case
- Some general existence conditions for balanced arrays of strength \(t\) and 2 symbols
- Influential nonnegligible parameters under the search linear model
- THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS
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