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Conditionally Optimal Weights of Evidence
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作者 stephan morgenthaler Robert G.Staudte 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2005年第2期247-256,共10页
A weight of evidence is a calibrated statistic whose values in [0, 1]indicate the degree of agreement between the data and either of two hypothesis, one being treated asthe null (H_0) and the other as the alternative ... A weight of evidence is a calibrated statistic whose values in [0, 1]indicate the degree of agreement between the data and either of two hypothesis, one being treated asthe null (H_0) and the other as the alternative (H_1). A value of zero means perfect agreement withthe null, whereas a value of one means perfect agreement with the alternative. The optimality weconsider is minimal mean squared error (MSE) under the alternative while keeping the MSE under thenull below a fixed bound. This paper studies such statistics from a conditional point of view, inparticular for location and scale models. 展开更多
关键词 Structural models INVARIANCE confidence distributions TESTING
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