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Journal ArticleDOI

Search designs for 2m factorials derived from balanced arrays of strength 2(l+1) and ad-optimal search designs

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In this paper, a search design for the 2m type such that at most knonnegative effects can be searched among (l+1)-factor interactions and estimated along with the effects up to l- factor interactions, provided (l + 1)-factor and higher order interactions are negligible except for the k effects.
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This article is published in Journal of Statistical Planning and Inference.The article was published on 1985-02-01. It has received 15 citations till now.

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Journal ArticleDOI

Main effect + one or two plans for 2m factorials

TL;DR: In this article, the problem of finding a design T2 so that T = T1 + T2 is a main effect plus k (= 1, 2) plan for 2m factorials (m = 2h - 1, h ⩾ 3).
Journal ArticleDOI

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 ∗

TL;DR: In this article, the authors consider the general factor screening problem when interactions may be present, and propose the concept of revealing power of designs, i.e. of their ability to help identify nonnegligible parameters.
Book ChapterDOI

Model Identification Using Search Linear Models and Search Designs

TL;DR: This paper focuses on model identification through the use of the search linear models, particularly in addressing the fundamental issues and important challenges in statistical design and analysis of experiments while presenting an overview on this area of research.
Journal ArticleDOI

Fractional factorial designs of two and three levels

TL;DR: A survey of the results on balanced fractional designs of the 2 m and 3 m types established by Chopra, Kuwada, Shirakura, Srivastava and Yamamoto, new results on search designs of 2 m type, and open problems on the construction of fractional design are presented.
References
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Journal ArticleDOI

Balanced Optimal 2m Fractional Factorial Designs of Resolution V, m ? 6

J. N. Srivastava, +1 more
- 01 May 1971 - 
TL;DR: In this article, balanced optimal fractional factorial designs of 2 m series which allow the estimation of the general mean, main effects and two factor interactions are described, and covariance matrices of the estimates of the effects are also presented for each design.
Journal ArticleDOI

Balanced arrays of strength 2l and balanced fractional 2m factorial designs

TL;DR: In this paper, the algebraic structure of the information matrix of the fractional design was investigated and a necessary and sufficient condition was established for a fractional 2 ``(m�m�m m�� factorial designT of resolution 2l+1 to be balanced.
Journal ArticleDOI

Some general existence conditions for balanced arrays of strength t and 2 symbols

TL;DR: Necessary existence conditions for the existence of a balanced array ( B -array) (“partially balanced” array) of 2 symbols, strength t , and m rows (with m ⩽ t + 2).
Journal ArticleDOI

Balanced 2m factorial designs of resolution v which allow search and estimation of one extra unknown effect, 4 ≤ m ≤ 8

TL;DR: In this article, balanced resolution V plans for 2m factorial experiments (4 ≤ m ≤ 8) were obtained, where the problem is to search which effect is non-negligible and to estimate it, along with estimating the main effects and two factor interactions etc., as in an ordinary resolution V design.
Journal ArticleDOI

Optimal balanced 2 7 fractional factorial designs of resolution V , with N ≦42

TL;DR: In this paper, a class of fractional factorial designs of the 27 series, which are of resolutionV, are presented, allowing the estimation of the general mean, the main effects and the two factors interactions (29 parameters in all for the 27 factorial) assuming that the higher order effects are negligible.
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