Factor screening in a 12 Run Plackett-Burman design assuming four active factors
dc.contributor.advisor | Tyssedal, John Sølve | |
dc.contributor.author | Jin, Yingzi | |
dc.date.accessioned | 2017-03-13T07:58:46Z | |
dc.date.available | 2017-03-13T07:58:46Z | |
dc.date.created | 2016-11-11 | |
dc.date.issued | 2016 | |
dc.identifier | ntnudaim:15731 | |
dc.identifier.uri | http://hdl.handle.net/11250/2433757 | |
dc.description.abstract | In this thesis we perform factor screening in a non-regular two-level design by reducing the number of possible sets of active factors to a certain number. The 12 Run Plackett-Burman(PB) design with four active factors is mainly concerned. Our proposed method works through picking up the 6 effects with the highest absolute value out of 10 in each projection model. To evaluate this method, we used the same example as was used in Tyssedal and Shahrukh\cite{tyssedal2016factor} where variable selection methods such as $AIC$, $F$ test and $\bigtriangleup R^2$-method used on projection models. A real example is included at the end to show how our proposed factor screening method can be done in practice. | |
dc.language | eng | |
dc.publisher | NTNU | |
dc.subject | Matematiske fag, Anvendt matematikk | |
dc.title | Factor screening in a 12 Run Plackett-Burman design assuming four active factors | |
dc.type | Master thesis |