This study contributes to the literature on why selection procedures that are based on the behavioral consistency logic (e.g., structured interviews and assessment centers) are valid predictors of job performance. We rely on interactionist theories to propose that individual differences in assessing situational demands explain true variance in performance in selection procedures and on the job....

Variable selection and transformation selection are two commonly encountered problems in the linear model. It is often of interest to combine these two procedures in an analysis. Due to recent developments in computing technology, such a procedure is now feasible. In this paper, we propose two variable and transformation selection procedures on the predictor variables in the linear model. The r...

Recently, Nelson et al. (2001a, b) formulated a class of combined screening-and-selection procedures for identifying the simulated system with optimal expected response when the number of alternatives is finite, but large enough to render conventional ranking-and-selection procedures impractical. Under a certain key assumption, they derived an additive decomposition lemma that provides a lower ...

Disputes about econometric methodology partly reflect a lack of evidence on alternative approaches. We reconsider econometric model selection from a computer-automation perspective, focusing on general-to-specific reductions, embodied in PcGets. Starting from a general congruent model, standard testing procedures eliminate statistically-insignificant variables, with diagnostic tests checking th...

We present a state-of-the-art review of screening, selection, and multiple-comparison procedures that are used to compare system designs via computer simulation. We describe methods for three broad classes of problems: screening a large number of system designs, selecting the best system, and comparing all systems to a standard (either known or unknown). We concentrate primarily on recent metho...

Used to estimate the risk of an estimator or to perform model selection, cross-validation is a widespread strategy because of its simplicity and its apparent universality. Many results exist on the model selection performances of cross-validation procedures. This survey intends to relate these results to the most recent advances of model selection theory, with a particular emphasis on distingui...

Breast augmentation remains one of the most commonly performed plastic surgical procedures worldwide; however, Food and Drug Administration clinical trials have suggested that this procedure has a reoperation rate of 14% to 24% after 3 years. Recent literature has proposed that breast augmentation should not only be a surgical procedure but ultimately a surgical process to reduce postoperative ...

We propose fully sequential indifference-zone selection procedures that are specifically for use within an optimizationvia-simulation algorithm when simulation is costly and partial or complete information on solutions previously visited is maintained. Sequential Selection with Memory guarantees to select the best or near-best alternative with a user-specified probability when some solutions ha...

In this paper we present a fully coherent and consistent objective Bayesian analysis of the linear regression model using intrinsic priors. The intrinsic prior is a scaled mixture of g-priors and promotes shrinkage towards the subspace defined by a base (or null) model. While it has been established that the intrinsic prior provides consistent model selectors across a range of models, the poste...

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