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Articles
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QICID: 30275
Title: Opportunities and Issues in Multiple Data Type Meta-Analyses
Copyright: ASQ; Taylor & Francis
Author: Anderson-Cook, Christine M.
Organization: Statistical Sciences Group, Los Alamos National Laboratory
Subject: Bayesian methods; Data analysis; Data retrieval; Pooled data; Synthesizing models;
Series: Quality Engineering, Vol. 21, No. 3, July 2009, pp. 241-253
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Abstract: [This abstract is based on the author’s abstract.]
The decision-making process often relies on multiple sources of data that provide partial information needed to solve the problem at hand. By analyzing all of the data at once, instead of each set separately, it is possible to deepen understanding, calibrate the uncertainty in estimates and predictions, and uncover weaknesses in the underlying theory. Some of the objectives and problems associated with data combination, analysis, and design of experiments are explored by considering three examples from diverse applications.
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