v:* {behavior:url(#default#VML);}o:* {behavior:url(#default#VML);}w:* {behavior:url(#default#VML);}.shape {behavior:url(#default#VML);} Normal 0 false 7.8 ? 0 2 false false false EN-US ZH-CN X-NONE /* Style Definitions */ table.MsoNormalTable{mso-style-name:????;mso-tstyle-rowband-size:0;mso-tstyle-colband-size:0;mso-style-noshow:yes;mso-style-priority:99;mso-style-qformat:yes;mso-style-parent:"";mso-padding-alt:0cm 5.4pt 0cm 5.4pt;mso-para-margin:0cm;mso-para-margin-bottom:.0001pt;mso-pagination:widow-orphan;font-size:10.5pt;mso-bidi-font-size:11.0pt;font-family:"Calibri","sans-serif";mso-ascii-font-family:Calibri;mso-ascii-theme-font:minor-latin;mso-fareast-font-family:??;mso-fareast-theme-font:minor-fareast;mso-hansi-font-family:Calibri;mso-hansi-theme-font:minor-latin;mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-font-kerning:1.0pt;} This paper deals with the experiments of type . Fitting a response surface model to this type of experiments was studied using a new technique. This technique depends on partitioning the whole experiment into two experiments and analyzes each experiment separately. In addition to the proposed technique, the least squares method was studied and a comparison is made between the proposed technique and the least squares method. The results showed that the proposed technique and least squares method gave the same results. This indicates that partitioning the whole experiment does not affect the results of fitting the response surface model. This paper proposes an easy technique for analyzing this type of experiments. The results showed that the new technique is easier to use than the least squares method. Simple calculations and substitutions in fixed formulae are used to get the results directly. On the contrary, the least squares method requires complicated calculations to get the results.
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