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The paper proposes a class of tests using covariate matching and derives their asymptotic power for local alternatives.
Chapman, J.M., Cooper, J.D., Todd, J.A. & Clayton, D.G. Detecting disease associations due to linkage disequilibrium using haplotype tags: a class of tests and the determinants of statistical power.
For a given local alternative, a member of the proposed class of tests is shown to achieve this upper bound.
In one class of tests, there is a direct contact between the polymer film and water; in another class of tests there is an air layer between water and the film.
This paper discusses a class of tests of lack-of-fit of a parametric regression model when design is non-random and uniform on [0,1].
Chapman, J. M., Cooper, J. D., Todd, J. A. & Clayton, D. G. Detecting disease associations due to linkage disequilibrium using haplotype tags: a class of tests and the determinants of statistical power.
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Two classes of test statistics for duration clustering and one class of test statistics for the adequacy of ACD models are proposed.
This is done by restricting the class of test random variables used to define Skorohod integrability.
When testing for ACD effects, the second class of test statistics exploits the one-sided nature of the alternative hypothesis and we discuss in which circumstances these test statistics should be more powerful.
We provide an example that will illustrate how two specific problem characteristics, namely the tightness of constraints and the linearity of constraints, influence the solution quality and solution times for a specific class of test problems.
In this paper, optimum covariate designs (OCD) have been considered for the set-up of the balanced treatment incomplete block (BTIB) designs, which form an important class of test-control designs.
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