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If you have any questions, you are always welcome to contact us. We'll get back to you as soon as possible, withing 24 hours on weekdays.
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All questions about your order, return and delivery must be sent to our customer service team by e-mail at yourstore@yourdomain.com
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Splitplot designs are effective in industry due to time and/or cost constraints, restriction on randomization of the treatment combinations of the hardtochange factors and different sizes of experimental units. Some of the results of fractional factorial splitplot experiments can be ambiguous and a need may arise to conduct followup experiments to separate effects of potential interest.The first objective of this research is to extend the foldover technique to break the alias chains of splitplot experiments.Six rules are provided to develop foldovers for minimum aberration resolution III and resolution IV FFSP designs.The second objective is to extend a method due to Draper and Stoneman to estimate missing observations from unreplicated twolevel factorial and FFSP designs. The missing observations, which can either be from the same wholeplot, from different WPs, or comprise entire WPs, are estimated by equating to zero a number of specific contrast columns equal to the number of the missing observations.The third objective is to develop numerical and graphical methods to check for any violation of the underlying assumptions and the adequacy of fit of splitplot models.
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