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Statistical inference / Statistical theory / Least squares / Maximum likelihood / Estimator / Mean squared error / Generalized linear model / Robust statistics / Ordinary least squares / Statistics / Estimation theory / Regression analysis


Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data Walter R. Mebane, Jr. Cornell University Jasjeet S. Sekhon Harvard University We develop a robust estimator—the hyperbolic tang
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Document Date: 2004-04-05 02:29:39

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City

Victoria / /

Company

Todd Rice and Lamarck Inc. / /

Country

Poland / United States / Netherlands / /

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Event

Product Issues / /

Facility

Cornell University / Washington University / White Hall / Binghamton University / Harvard University / /

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Assumption / /

IndustryTerm

weighted outer product / social science applications / child care services / /

Organization

Midwest Political Science Association / Harvard University / Binghamton University / American Political Science Association / SUNY / Washington University / Reform party / Cornell University / /

Person

Walter R. Mebane / Jr. / Jonathan Wand / Bush / Rose / Monroe / John Jackson / Pat Buchanan / Gary King / Jasjeet S. Sekhon / /

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PoliticalEvent

presidential election / parliamentary election / /

Position

King for helpful comments / King / model / Assistant Professor / Government / Professor of Government / candidate / /

Product

data / multinomial data / observations / estimation fails / /

ProgrammingLanguage

R / ML / /

ProvinceOrState

Palm Beach County / Florida / /

PublishedMedium

American Journal of Political Science / /

Technology

weighted Newton algorithm / /

URL

http /

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