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Simulation Factor Screen in Binary R...

Li, Minqi.

Simulation Factor Screen in Binary Response Models.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Simulation Factor Screen in Binary Response Models.
作者:	Li, Minqi.
面頁冊數:	72 p.
附註:	Source: Masters Abstracts International, Volume: 50-02, page: 1231.
附註:	Adviser: Feng Yang.
Contained By:	Masters Abstracts International50-02.
標題:	Statistics.
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1501678
ISBN:	9781124895024

Simulation Factor Screen in Binary Response Models.
Li, Minqi.

Simulation Factor Screen in Binary Response Models. - 72 p.

Source: Masters Abstracts International, Volume: 50-02, page: 1231.

Thesis (M.S.)--West Virginia University, 2011.

To eliminate unimportant factors so that the remaining important factors can be further studied in later experimentation, screening experiments (which may be physical or simulation based) are typically performed. This thesis proposes a hybrid statistical procedure for efficient factor screening via simulation experiments. The hybrid procedure is particularly developed for cases where the system response is binary, as opposed to continuous; such a factor-screening procedure does not exist yet in the literature.

ISBN: 9781124895024Subjects--Topical Terms:

182057
Statistics.

Simulation Factor Screen in Binary Response Models.
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502 $a Thesis (M.S.)--West Virginia University, 2011.
520 $a To eliminate unimportant factors so that the remaining important factors can be further studied in later experimentation, screening experiments (which may be physical or simulation based) are typically performed. This thesis proposes a hybrid statistical procedure for efficient factor screening via simulation experiments. The hybrid procedure is particularly developed for cases where the system response is binary, as opposed to continuous; such a factor-screening procedure does not exist yet in the literature.
520 $a The proposed hybrid procedure integrates two screening methods: the sequential factorial design with multivariate sequential test (SFD-MT), which is newly developed in this work, and the modified controlled sequential bifurcation (CSB), which is adapted from the existing CSB method. At the beginning of the procedure, a pre-screening process is conducted to obtain the preliminary estimates of factor effects, and to determine whether SFD-MT or modified CSB will be used for factor screening. Then the selected screening method (either SFD-MT or modified CSB) are performed to identify the important factors based on simulation experiments. In both SFD-MT and CSB, the type I and type II errors are approximately controlled through appropriate hypothesis tests. The efficiency of the hybrid procedure over the CSB in the literature is demonstrated via empirical experiments.
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