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Improving Statistical Rigor in Depar...

Rucker, Alethea.

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Improving Statistical Rigor in Department of Defense Test and Evaluation: Use of Tolerance Intervals in Designed Experiments.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Improving Statistical Rigor in Department of Defense Test and Evaluation: Use of Tolerance Intervals in Designed Experiments./
作者:	Rucker, Alethea.
面頁冊數:	122 p.
附註:	Source: Dissertation Abstracts International, Volume: 76-05(E), Section: B.
Contained By:	Dissertation Abstracts International76-05B(E).
標題:	Systems science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3670861
ISBN:	9781321478990

Improving Statistical Rigor in Department of Defense Test and Evaluation: Use of Tolerance Intervals in Designed Experiments.
Rucker, Alethea.

Improving Statistical Rigor in Department of Defense Test and Evaluation: Use of Tolerance Intervals in Designed Experiments. - 122 p.

Source: Dissertation Abstracts International, Volume: 76-05(E), Section: B.

Thesis (Ph.D.)--The George Washington University, 2015.

Given the push to provide defensible test data in the Department of Defense (DoD) Test and Evaluation (T&E) Enterprise, the use of statistical methods has taken center stage. This research investigates the applicability of statistical tolerance intervals in designed experiments as an analysis method for the DoD T&E technical community. To date, tolerance intervals are scarcely discussed in extant literature as compared to confidence and prediction intervals. The lesser known tolerance intervals can assure a proportion of the population is captured in the design space with some confidence, and have the ability to map out the design space where factors can be reliably tested. Further, this research investigates several two-sided approximate tolerance factors estimated by Monte Carlo simulation and compares them to the exact method. Finally, its applicability to the defense T&E community is presented using a simple case study.

ISBN: 9781321478990Subjects--Topical Terms:

3168411
Systems science.

Improving Statistical Rigor in Department of Defense Test and Evaluation: Use of Tolerance Intervals in Designed Experiments.
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