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Factorial Experiments with Minimum Changes in Run Sequences

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Title Factorial Experiments with Minimum Changes in Run Sequences
Not Available
 
Creator Arpan Bhowmik
Eldho Varghese
Seema Jaggi
Cini Varghese
 
Subject Confounding
Factorial
Fractional factorial
Macro
Minimal change
Randomization
Run sequence
 
Description Not Available
Randomization of run sequences in factorial experiments may result in large number of changes in factor levels which will make the experimentation expensive, time-consuming and difficult. Experiments, in which it is difficult to change the levels of factor(s), use of run sequences with minimum changes may often be preferable to a random run sequence. Here, we have developed a general method to obtain symmetric factorial with minimum changes in run sequence along with general expression of factor-wise number of level changes. Further, minimally changed run sequences to develop half replicate of 2-level factorial experiments and 2-level factorial in which only highest order factorial effect get confounded, have also been obtained. For providing readymade solution to the end users, SAS macro have been developed for generating symmetric factorial and half replicate of 2-level factorial with minimum changes in run sequence along with its parameters.
Not Available
 
Date 2017-01-28T02:18:53Z
2017-01-28T02:18:53Z
2015-12-31
 
Type Research Paper
 
Identifier Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/1920
 
Language English
 
Relation Not Available;
 
Publisher Indian Society of Agricultural Statistics