This digital document is an article from American Journal of Applied Sciences, published by Science Publications on June 1, 2009. The length of the article is 5390 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available immediately after purchase. You can view it with any web browser.
From the author: Key words: Bootstrap, outliers, robust location, robust standard deviation
Citation Details
Title: Linear regression model selection based on robust bootstrapping technique.
Author: Hassan S. Uraibi
Publication:American Journal of Applied Sciences (Magazine/Journal)
Date: June 1, 2009
Publisher: Science Publications
Volume: 6 Issue: 6 Page: 1191(8)
Distributed by Gale, a part of Cengage Learning
Linear regression model selection based on robust bootstrapping technique.: An article from: American Journal of Applied Sciences
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Book Details
PublisherScience Publications
ISBN / ASINB002QZWSR0
ISBN-13978B002QZWSR0
AvailabilityAvailable for download now
Sales Rank10,015,821
MarketplaceUnited States 🇺🇸