Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 48, No. 3 (1999), pp. 313-329 (17 pages) The number of variables in a regression model is often too large and a more ...

This is a preview. Log in through your library . Abstract Resampling methods are introduced for the construction of confidence intervals for treatment effects associated with the primary and secondary ...

To present a resampling approach to obtain confidence intervals (CIs) and the empirical distributions for the studentized regression residuals percentiles when used as cutoff points for overweight and ...

Bootstrapping is a widely used statistical learning technique that falls under the broader category of resampling methods. Bootstrapping is typically used in the estimation of various statistics and ...

Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation, Monte Carlo Simulation and Resampling Methods for Social Science, by Thomas M. Carsey and ...

MarekBlok received an MSc degree in Information Systems fromTechnical University of Gdansk in 1994. Since then, he has beenwith the Faculty of Electronics, Telecommunications and Informaticsat the ...

Randomized, Double-Blind, Phase II Study of Ruxolitinib or Placebo in Combination With Capecitabine in Patients With Metastatic Pancreatic Cancer for Whom Therapy With Gemcitabine Has Failed Phase II ...