Simple jQuery Dropdowns
Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/36203
Title: Statistics for applied researchers: Bootstrap to the rescue
Authors: Nabendu Pal
Suntaree Unhapipat
University of Louisiana at Lafayette
Mahidol University
Keywords: Mathematics
Issue Date: 1-Jan-2015
Citation: Philippine Statistician. Vol.64, No.1 (2015), 89-121
Abstract: © 2015, Philippine Statistical Association, Inc. All rights reserved. Availability of latest, fast and affordable computing resources has empowered the statisticians tremendously. This has also given the applied researchers a unique edge to extend the frontier of their knowledge-base by taking advantage of sophisticated computational statistical tools where theoretical derivations of complex sampling distributions are often not required or can be bypassed. 'Bootstrap method' is one such tool which is being used widely in solving real-life problems that involve statistical inferences. This article is designed to present bootstrap in simple terms for the applied researchers with useful examples and show how it can go a long way in settling contentious issues with reasonably convincing results.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84957799434&origin=inward
http://repository.li.mahidol.ac.th/dspace/handle/123456789/36203
ISSN: 20940343
Appears in Collections:Scopus 2011-2015

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