Sequential factorial probing designs for identifying and estimating non- negligible factorial effects for the \(2^ m\) experiment under the tree structure
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Publication:1193981
DOI10.1016/0378-3758(92)90077-6zbMath0748.62043OpenAlexW1997788038MaRDI QIDQ1193981
Ranoo Hveberg, Jagdish N. Srivastava
Publication date: 27 September 1992
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0378-3758(92)90077-6
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Cites Work
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- Search designs for \(2^ m\) factorials derived from balanced arrays of strength \(2(\ell +1)\) and AD-optimal search designs
- Some search designs for symmetric and asymmetric factorials
- On a decision rule using dichotomies for identifying the nonnegligible parameter in certain linear models
- Search designs for \(2^ m\) factorial experiments
- Weakly resolvable IV.3 search designs for the \(p^ n\) factorial experiment
- On some new search designs for \(2^ m\) factorial experiments
- A necessary condition for the existence of main effect plus one plans for 2mfactorials
- On the inadequacy of the customary orthogonal arrays in quality control and general scientific experimentation, and the need of probing designs of higher revealing power∗
- Partially Duplicated Fractional Factorial Designs
- Techniques for Constructing Fractional Replicate Plans
- Balanced 2mfactorial designs of resolution v which allow search and estimation of one extra unknown effect, 4 ≤ m ≤ 8
- Balanced Optimal 2 m Fractional Factorial Designs of Resolution V, m <= 6
