Assessment of agreement using intersection-union principle
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Published on: December 16, 2019
Pankaj K Choudhary1, H N Nagaraja
1Department of Mathematical Sciences, University of Texas at Dallas, Richardson, TX 75083-0688, USA. pankaj@utdallas.edu
Abstract:
We consider the problem of assessing agreement between two instruments and test whether the normally distributed bivariate data have evidence to claim satisfactory agreement. We focus on a comprehensive intersection-union formulation of the hypotheses of agreement. Confidence intervals associated with this approach provide information regarding the extent of agreement and nature of disagreement. We illustrate the suggested methodology using a dataset from the literature.
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