JSM 2005 - Toronto

Abstract #304259

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 369
Type: Contributed
Date/Time: Wednesday, August 10, 2005 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Education
Abstract - #304259
Title: The Statistical Ecology of Google Whacking
Author(s): Woollcott Smith*+
Companies: Temple University
Address: Box 86, West Tisbury, MA, 02575, United States
Keywords: Size bias sampling ; Singletons ; Negative binomial ; Over dispersion
Abstract:

Google whacking is a 21st-century parlor game that uses the Google search engine. The objective is to find two words that appear on the same web page exactly once in the 8.1 billion web pages that Google indexes. We present a negative binomial regression model that predicts the occurrence of singleton events, (i.e., Google whacks). This model is related to both size bias sampling and species coverage in statistical ecology. The use of statistical methods to understand the web is increasing rapidly. The Google whacking game provides students with an interesting and easily understood example of statistical modeling in this environment.

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