Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Sign In to gain access to subscriptions and/or personal tools.
Communication Research
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by ACZEL, A. D.
Right arrow Articles by JOSEPHY, N. H.
Right arrow Search for Related Content
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Ross Perot and the Multinomial Distribution

AMIR D. ACZEL

DOMINIQUE M.A. HAUGHTON

NORMAN H. JOSEPHY

The authors present a graphical multivariate approach to the analysis and reporting of political poll results when more than two candidates command a significant percentage of the vote. The authors argue that joint statistical inference is a more meaningful methodology in this situation; the current margin of error reporting is potentially inaccurate and may lead to inappropriate conclusions. The authors' methodology is applied to the results of four major national polls reported the week before the 1992 presidential election, with surprising implications.

Communication Research, Vol. 21, No. 3, 408-418 (1994)
DOI: 10.1177/009365094021003010


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?