Titlebook: On Model Uncertainty and its Statistical Implications; Proceedings of a Wor Theo K. Dijkstra Conference proceedings 1988 Springer-Verlag Be

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書目名稱On Model Uncertainty and its Statistical Implications影響因子(影響力)




書目名稱On Model Uncertainty and its Statistical Implications影響因子(影響力)學科排名




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書目名稱On Model Uncertainty and its Statistical Implications網絡公開度學科排名




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敲詐

Conference proceedings 1988 experiments are discussed. The emphasis is on the statistical implications for model assessment when the assessment is done with the same data that generated the model. This is a problem of long standing, notorious for its difficulty. Some contributors discuss this problem in an illuminating way. O

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Data-Driven Selection of Regressors and the Bootstrap,he usual unbiased estimate of the residual variance obtained by fitting all columns; and a is a positive number, often 2 but α = 1 or α = log n have also surfaced in the literature. The value of (1) is calculated for those sets of columns one is willing to consider and that model is chosen for which the criterion is minimal.

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Conference proceedings 1988thers, and this is a truly novel feature, investigate systematically whether sample re-use methods like the bootstrap can be used to assess the quality of estimators or predictors in a reliable way given the initial model uncertainty. The book should prove to be valuable for advanced practitioners and statistical methodologists alike.

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Model Selection in Multinomial Experiments,he . p, with p. = n./N, and the . prop(n.,...,n.). Another way of expressing this is that for each N we have defined a random vector .., taking values in .., the unit simplex in ... We use the convention of underlining random variables in this paper. Thus .. is a sequence of random vectors.