Results 101 to 110 of about 2,198 (156)

Accelerating cell culture media development using Bayesian optimization-based iterative experimental design. [PDF]

Nat Commun
Narayanan H, Hinckley JA, Barry R, Dang B, Wolffe LA, Atari A, Tseng YY, Love JC.   +7 more
europepmc   +1 more source

ƒ(Cell): Software for Reproducible Analysis of Optoretinograms. [PDF]

Transl Vis Sci Technol
Cooper RF, Gaffney M, Brennan BD, Rios N.   +3 more
europepmc   +1 more source

A hybrid innovation method based on quality by design and agile scrum paradigms for the development of medicinal products. [PDF]

Sci Rep
Bastogne T, Wagner L, Acherar S, Karcher G, Collet C.   +4 more
europepmc   +1 more source

ON FRACTIONAL sm FACTORIAL DESIGNS

ON FRACTIONAL sm FACTORIAL DESIGNS
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ON FRACTIONAL sm FACTORIAL DESIGNS

SUT Journal of Mathematics, 1999
Summary: The statistical structure of the fraction of symmetrical \(s^m\) factorial designs is investigated in some detail. In this paper, we show that the information matrix of a fractional \(s^m\) factorial design is determined completely by its characteristic vector.
Hyodo, Yoshifumi, Yumiba, Hiromu, Yamamoto, Sumiyasu   +2 more
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Fractional factorial design

WIREs Computational Statistics, 2009
AbstractFractional factorial designs are among the most important statistical contributions to the efficient exploration of the effects of several controllable factors on a response of interest. Fractional factorials are widely used in experiments in fields as diverse as agriculture, industry, and medical research.
Richard F. Gunst, Robert L. Mason
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Fractional Factorial Designs

2014
exaly   +2 more sources

The Efficiencies of Fractional Factorial Designs

Technometrics, 2005
A frequently stated advantage of fractional-factorial (FF) designs over one-factor-at-a-time (1FAT) designs is their high relative efficiency. We study k-factor, 2k-run designs, where k is a power of 2 or is divisible by 4, for which the usually stated relative efficiency is k in favor of the resolution IV FF design over an orthogonal 1FAT design.
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On Two Products of Fractional Factorial Designs

Calcutta Statistical Association Bulletin, 1989
Analysis of direct product (DP) of a number of fractional factorial designs (unblocked) has been presented in brief to show that the estimates of the parameters of the new design can be expressed as a suitable (asterisk) product of the estimates of the parameters of the component designs.
Adhikary, Basudeb, Das, Premadhis
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