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Registro 1 de 2, Base de información Bciucla |
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Información de existencia
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Resumen
This paper considers the problem of identifying which treatments are strictly worse than the best treatment or treatments in a one-way layout, which has many important applications in screening trials for new product development. A procedure is proposed that selects a subset of the treatments containing only treatments that are known to be strictly worse than the best treatment or treatments. In addition, simultaneous confidence intervals are obtained which provide upper bounds on how inferior the treatments are compared with these best treatments. In this way, the new procedure shares the characteristics of both subset selection procedures and multiple comparison procedures. Some tables of critical points are provided for implementing the new procedure, and some examples of its use are given. |
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Registro 2 de 2, Base de información Bciucla |
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Información de existencia
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Resumen
This paper shows how recursive integration methodologies can be used to evaluate high-dimensional integral expressions. This has applications to many areas of statistical inference where probability calculations and critical point evaluations often require such high-dimensional integral evaluations. Recursive integration can allow an integral expression of a given dimension to be evaluated by a series of calculations of a smaller dimension. This significantly reduces the computation time. The application of the recursive integration methodology is illustrated with several examples.
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