Author
John C. Whitwell
Bio: John C. Whitwell is an academic researcher. The author has contributed to research in topics: Fractional factorial design & Main effect. The author has an hindex of 1, co-authored 1 publications receiving 13 citations.
Topics: Fractional factorial design, Main effect
Papers
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TL;DR: The two level fractional factorial designs of resolution five enable the experimenter to estimate independently all main effects and two-factor interactions under the assumptions that higher order interaction effects are negligible as mentioned in this paper.
Abstract: The two level fractional factorial designs of resolution five enable the experimenter to estimate independently all main effects and two-factor interactions under the assumptions that higher order interaction effects are negligible. By relaxing, very slightly, the requirement that all two-factor interactions be estimable, or that all estimated effects be orthogonal, the number of runs required for many resolution five designs can be greatly reduced.
13 citations
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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.
Abstract: In this paper 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. Such designs are presented for each m with 4 ≤ m ≤ 6, and for a range of practical values of N, where N denotes the total number of level-combinations. The covariance matrices of the estimates of the effects are also presented for each design, with a set of simple formulae for calculating these estimates.
72 citations
TL;DR: In this paper, the effect of various production factors on the size, composition and drug release properties of small calcium alginate matrices was investigated in two separate studies, where a 2 3 factorial design and a 2 V 5−1 fractional factorial scheme were applied.
54 citations
TL;DR: A brief introduction to oprimal design theory is given in this article for those who are not familiar with the subject and a list of 312 selected selected articles on the theory of optimal design is provided.
Abstract: A brief introduction to oprimal design theorv is given for those who are not familiar with the subject. A list of 312 selected articles on the theory of optimal design is provided. The bibliography should be sufficiently thorough to be of use to researchers in the field.
27 citations
TL;DR: In this article, the authors considered the problem of parallel factorial design in the cyclotomic field with s elements and showed that the problem can be solved in terms of alias component matrices.
22 citations
01 Jan 1974
TL;DR: This paper suggests a general five-phase experimental approach for determining the optimum for a particular, but common, type of simulation problem.
Abstract: Although simulation involves solving a mathematical model through experimentation, the literature of simulation does not reflect a broad, sustained interest in the design of simulation experiments. The objective of this paper is to fulfill a part of this need by suggesting a general five-phase experimental approach for determining the optimum for a particular, but common, type of simulation problem. The majority of the suggested procedure makes use of existing design and analysis techniques. However, the problem of multimodal simulation outcomes has resulted in the development of the “random factorial” experimental design. This design is a combination of a complete factorial design and a random balance design. The majority of the paper is devoted to a discussion of the use of this design approach for solving the multimodal problem.
15 citations