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estimating error rate prediction rule Bethera, South Carolina

Read your article online and download the PDF from your email or your MyJSTOR account. Sabau+2 more authors…Franc-Christophe BaurensRead moreArticleSigatoka disease reduces the greenlife of bananasOctober 2016 · Crop Protection · Impact Factor: 1.49Marc ChilletCatherine AbadieO. Register/Login Proceed to Cart × Close Overlay Preview not available Abstract We construct a prediction rule on the basis of some data, and then wish to estimate the error rate of The separate contributions to MSEPuncertain (X) can be estimated using a random effects ANOVA.

Absorbed: Journals that are combined with another title. The final model at each time point was evaluated in the three external validation samples. JSTOR, the JSTOR logo, JPASS, and ITHAKA are registered trademarks of ITHAKA. Page Thumbnails 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 Journal of the American Statistical Association © 1983 American Statistical Association Request Permissions

The system returned: (22) Invalid argument The remote host or network may be down. The system returned: (22) Invalid argument The remote host or network may be down. EfronR.J. All Rights Reserved.

on behalf of the American Statistical Association DOI: 10.2307/2288636 Stable URL: http://www.jstor.org/stable/2288636 Page Count: 16 Download ($14.00) Cite this Item Cite This Item Copy Citation Export Citation Export to RefWorks Export Cross-validation turns out to be related closely to the bootstrap estimate of the error rate. Please try the request again. This article has two purposes: to understand better the theoretical basis of the prediction problem, and to investigate some related estimators, which seem to offer considerably improved estimation in small samples.

Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation Bradley Efron Journal of the American Statistical Association Vol. 78, No. 382 (Jun., 1983), pp. 316-331 Published by: Taylor & Comparison of model outputs with data can be used to estimate the former. Your cache administrator is webmaster. Generated Sat, 15 Oct 2016 06:53:54 GMT by s_wx1131 (squid/3.5.20) ERROR The requested URL could not be retrieved The following error was encountered while trying to retrieve the URL: http://0.0.0.10/ Connection

Loading Processing your request... × Close Overlay Log in | Register Cart Browse journals by subject Back to top Area Studies Arts Behavioral Sciences Bioscience Built Environment Communication Studies Computer Science The system returned: (22) Invalid argument The remote host or network may be down. The areas of bootstrap samples generated by the round shape bootstrap method are expected to be more smoothed. In practice, some of the parameters may vary among different hindcasts, for example if different cultivars are concerned. "[Show abstract] [Hide abstract] ABSTRACT: Crop models are important tools for impact assessment

Cross-validation provides a nearly unbiased estimate, using only the original data. Please try the request again. Coverage: 1922-2010 (Vol. 18, No. 137 - Vol. 105, No. 492) Moving Wall Moving Wall: 5 years (What is the moving wall?) Moving Wall The "moving wall" represents the time period Generated Sat, 15 Oct 2016 06:53:54 GMT by s_wx1131 (squid/3.5.20) ERROR The requested URL could not be retrieved The following error was encountered while trying to retrieve the URL: http://0.0.0.7/ Connection

Login to your MyJSTOR account × Close Overlay Personal Access Options Buy a PDF of this article Buy a downloadable copy of this article and own it forever. Although carefully collected, accuracy cannot be guaranteed. Buy article ($14.00) Have access through a MyJSTOR account? Conclusions Incidence of Candida IFD in UK critical care units in this study was consistent with reports from other European epidemiological studies, but lower than that suggested by previous hospital-wide surveillance

Vol. 78, No. 382, Jun., 1983 Estimating the Error... Publisher conditions are provided by RoMEO. We compare two criteria of prediction error; MSEPfixed, which evaluates mean squared error of prediction for a model with fixed structure, parameters and inputs, and MSEPuncertain(X), which evaluates mean squared error In rare instances, a publisher has elected to have a "zero" moving wall, so their current issues are available in JSTOR shortly after publication.

Your cache administrator is webmaster. See all ›1341 CitationsSee all ›14 ReferencesShare Facebook Twitter Google+ LinkedIn Reddit Request full-text Estimating the Error Rate of a Prediction Rule: Improvement on Cross-ValidationArticle in Journal of the American Statistical Association 78(382):316-331 · June Access your personal account or get JSTOR access through your library or other institution: login Log in to your personal account or through your institution. Skip to Main Content JSTOR Home Search Advanced Search Browse by Title by Publisher by Subject MyJSTOR My Profile My Lists Shelf JPASS Downloads Purchase History Search JSTOR Filter search by

Ability to save and export citations. Bootstrapping with 200 bootstrap samples was used on the development sample to internally validate the final selected model at each time point and to estimate optimism adjusted measures of the model Moving walls are generally represented in years. PREVIEW Get Access to this Item Access JSTOR through a library Choose this if you have access to JSTOR through a university, library, or other institution.

Generated Sat, 15 Oct 2016 06:53:54 GMT by s_wx1131 (squid/3.5.20) Efron AttachmentSize BIO 78.pdf1.32 MB Alternate Report Number:EFS NSF 188 FOR STUDENTS Computing Guide Explore Courses FOR VISITORS Emergency Plan Campus Map FOR INSTRUCTORS TA Guide Room Requests FOR RESEARCHERS Consulting Pay attention to names, capitalization, and dates. × Close Overlay Journal Info Journal of the American Statistical Association Description: The Journal of the American Statistical Association (JASA) has long been considered The latter has a squared bias term, which can be estimated using hindcasts, and a model variance term, which can be estimated from a simulation experiment.

Journal of the American Statistical Asso...