Two-stage indifference-zone selection procedures have been widely studied and applied. It is known that most indifference-zone selection procedures also guarantee multiple comparisons with the best confidence intervals with half-width corresponding to the indifference amount. We provide the statistical analysis of multiple comparisons with a control confidence interval that bounds the differenc...

This paper presents a new approach to model selection based on hypothesis testing. We 4rst describe a procedure to generate di5erent scores for any candidate model from a single sample of training data and then discuss how to apply multiple comparison procedures (MCP) to model selection. MCP statistical tests allow us to compare three or more groups of data while controlling the probability of ...

S sampling problems arise in stochastic simulation and many other applications. Sampling is used to infer the unknown performance of several alternatives before one alternative is selected as best. This paper presents new economically motivated fully sequential sampling procedures to solve such problems, called economics of selection procedures. The optimal procedure is derived for comparing a ...

Many variable selection methods for linear regression depend critically on tuning parameters that control the performance of the method, e.g., “entry” and“stay” significance levels in forward and backward selection. However, most methods do not adapt the tuning parameters to particular data sets. We propose a general strategy for adapting variable selection tuning parameters that effectively es...

We consider the problem of variable selection in general nonlinear mixed-e ets models, including mixed-e ects hidden Markov models. These models are used extensively in the study of repeated measurements and longitudinal analysis. We propose a Bayesian Information Criterion (BIC) that is appropriate for nonstandard situations where both the number of subjects N and the number of measurements pe...

It has long been known that for the comparison of pairwise nested models, a decision based on the Bayes factor produces a consistent model selector (in the frequentist sense). Here we go beyond the ∗Distinguished Professor, Department of Statistics, University of Florida, Gainesville, FL 32611. Supported by National Science Foundation Grant DMS-04-05543. Email: [email protected]. †Professor,...

Fully sequential selection procedures have been developed in the field of stochastic simulation to find the simulated system with the best expected performance when the number of alternatives is finite. Kim and Nelson proposed the KN procedure to allow for unknown and unequal variances and the use of common random numbers. KN approximates the raw sum of differences between observations from two...

An essential assumption in estimating the source parameters in electromagnetic source analysis (EMSA) is that the number of sources is known. If the incorrect number of sources is assumed in the estimation procedure, errors could occur [1]. Supek and Aine [2], for example, showed that if too many dipoles are assumed (over-modeling) then ‘spurious’ dipoles could arise with high standard errors, ...

Background: Selection of human spermatozoa prior to assisted reproduction is currently based on motility and morphology. Recently, Zeta method has been introduced for normal sperm selection based on sperm surface charges. In addition, one of the features of apoptosis is the externalization of phosphatidylserine (PS), which are normally present on the inner leaflet of the sperm plasma membrane. ...