Titlebook: Advances in Ranking and Selection, Multiple Comparisons, and Reliability; Methodology and Appl N. Balakrishnan,H. N. Nagaraja,N. Kannan Boo

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Studies in Computational Intelligenceerror rate of the therapeutic window of a drug using multiple test procedures. A therapeutic window is determined by the minimum dose needed to effectively treat a condition or ailment, and the maximum dose that can be safely administered. The effect of multiple imputation procedures for these missi

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Studies in Computational Intelligences or devices that are cheaper, easier to use, or less invasive, are routinely developed. Agreement between a new method and a traditional reference or gold standard must be evaluated before the new one is put into practice. Various methodologies have been proposed for this purpose in recent years. W

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Tetsuyuki Takahama,Setsuko Sakaiance (agreement) in this context. This measure when applied to rank order data reduces to Kendall’s (1948) measure of concordance. A new measure for rank order data that depends on the average Kendall’s measure of rank correlation is also proposed and is also a special case of our general measure. T

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Score Test: Historical Review and Recent Developmentsre on testing of hypotheses as the .. All these tests are equivalent to the first-order of asymptotics, but differ to some extent in the second-order properties. Some of the merits and defects of these tests are presented..Some applications of the score test, recent developments on refining the scor

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Inference Guided Data Explorationing the subsets considered to be those defined based on half-intervals of a covariate. Rather than treating this as a family of hypothesis tests, we instead choose the minimum p-value from the group of hypothesis tests as our test statistic. Simulation is employed to find an approximate critical val

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Discriminating Between Normal and Laplace Distributionslikelihoods to discriminate between these two distributions. We obtain the asymptotic distributions of the test statistics and it is observed that they are independent of the unknown parameters. When the underlying distribution is normal, the asymptotic distribution works quite well even when the sa

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A Simple Classification Rule for Directional Data two circular populations when training samples are available from each of them. Assuming that each of the two underlying populations is von Mises, the exact distribution of this statistic is indicated and its relationship to Fisher’s discrimination and Cox’s Logistic discrimination rules are discus

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On Some Ranking and Selection Procedures for MANOVA Models with Applicationscombinations of the levels present difficulty for consumers to rank order in terms of their preference. In this chapter, our purpose is to propose a ranking and selection procedure to select the most preferred attributes in such situations. We use the orthogonal array design to build a suitable MANO