On a decision rule using dichotomies for identifying the nonnegligible parameter in certain linear models

DOI10.1016/0047-259X(85)90024-7zbMath0602.62048MaRDI QIDQ1082014

D. W. Mallenby, Jagdish N. Srivastava

Publication date: 1985

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

zbMATH Keywords

linear modelslocationfactorial search designsdichotomization of parameter setnonnegligible parametersprobability of correct search

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Hypothesis testing in multivariate analysis (62H15) Combinatorial aspects of partitions of integers (05A17) Factorial statistical designs (62K15)

Related Items (5)

J.N. Srivastava and experimental design ⋮ Influential nonnegligible parameters under the search linear model ⋮ Sequential factorial probing designs for identifying and estimating non- negligible factorial effects for the \(2^ m\) experiment under the tree structure ⋮ Optimum two level fractional factorial plans for model identification and discrimination ⋮ Comparisons of search designs using search probabilities

Cites Work

• Selection of Variables in Multiple Regression: Part II. Chosen Procedures, Computations and Examples
• Balanced 2^mfactorial designs of resolution v which allow search and estimation of one extra unknown effect, 4 ≤ m ≤ 8
• Selection of Variables in Multiple Regression: Part I. A Review and Evaluation
• Approximations to the probability integral and certain percentage points of a multivariate analogue of Student's t-distribution
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