It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Missing values in strip plot design cause an unbalanced design. As a result, several problems occur in analyzing the data. This paper presents the estimation of two and three missing values from strip-plot design with the fixed model using the Yates approach. However, the estimation toward the missing values in strip-plot design causes bias on the treatment mean squares which is shown by its expected value. To omit the bias caused by the estimated values, a procedure of Satterthwaite-Cochran approximation is applied. The procedure corrects the bias and gives an adjusted analysis of variance for the hypothesis test.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details
1 Department of Mathematics, University of Lampung Jl. Soemantri Brojonegoro No.1, Bandar Lampung, Indonesia