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Generation of Linear Trend-Free Designs for Factorial Experiments

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Title Generation of Linear Trend-Free Designs for Factorial Experiments
Not Available
 
Creator Susheel Kumar Sarkar
Krishan Lal
Rajender Parsad
V.K. Gupta
 
Subject Factorial Experiments
Linear Trend-Free Designs
Orthogonal Polynomials
Run orders
Systematic Designs
 
Description Not Available
The present article deals with generation of designs for factorial experiments (without and with confounding) that permit the estimation of main effects free from linear trend effects present in the experimental units. The proposed method exploits the use of component wise product of vectors to generate linear trend-free for main effects designs for two-level factorials. The procedure of identifying two- and three- factor interactions that are linear trend-free has also been incorporated in the method. The method has also been extended to generate designs for confounded factorial experiments with any number of factors k ( 3) that are linear trend-free for main effects and identify two- and three- factor interactions for which the design is linear/nearly linear trend-free.
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Date 2017-06-01T05:57:13Z
2017-06-01T05:57:13Z
2009-08-01
 
Type Research Paper
 
Identifier Sarkar,S.K., Lal,K., Parsad, R. and Gupta, V.K. (2009 ). Generation of Linear Trend-Free Designs for Factorial Experiments. Journal of Indian Society of Agricultural Statistics, 63(2), 165-174
0019-6363
http://krishi.icar.gov.in/jspui/handle/123456789/4223
 
Language English
 
Relation Not Available;