Minimally changed run sequences in factorial experiments

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Authors Arpan Bhowmik, Eldho Varghese, Seema Jaggi, Cini Varghese
Journal/Conference Name Communications in Statistics- Theory and Methods
Paper Category
Paper Abstract ABSTRACTRandomization 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 minimally changed run sequences may often be preferable to a random run sequence. In the present paper, we have developed method for obtaining minimally changed run sequences for factorial experiments. The general expression of factor-wise number of level changes for the developed minimally changed run sequences has also been obtained. A relationship has been established between the time count effect of a lower order factorial with minimally changed run sequences and that of a higher order factorial with minimally changed run sequences obtained through the lower order minimally changed run sequences. For providing a readymade solution to the end users, a SAS macro has also been developed for generating these minimally changed run sequen...
Date of publication 2017
Code Programming Language R
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