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Expectation–maximization algorithm / Errors-in-variables models / Likelihood function / Sufficient statistic / M-estimator / Estimator / Normal distribution / Statistics / Estimation theory / Maximum likelihood


A Unified Approach to Measurement Error and Missing Data: Details and Extensions∗ Matthew Blackwell† James Honaker‡
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Document Date: 2014-04-14 12:48:46


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File Size: 1,45 MB

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Facility

University of Rochester / Harkness Hall / Harvard University / /

Holiday

Assumption / /

IndustryTerm

modified em algorithm / e-step / empirical applications / em-algorithm / em algorithm / /

Organization

Department of Political Science / Harvard University / Institute for Quantitative Social Science / University of Rochester / /

Person

Justin Grimmer / Matthew Blackwell† James Honaker / Eric Plutzer / Gretchen Casper / Simone Dietrich / Burt Monroe / Mo Tavano / Adam Nye / Joseph Wright / James Honaker‡ Gary King / Walter Mebane / Michael Peress / Sunshine Hillygus / Shawn Treier / Chris Zorn / /

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Position

King / Senior Research Scientist / Professor / imputation model for xmis / Assistant Professor / /

Technology

measurement error The em algorithm / 2.4 An EM algorithm / simulation / em algorithm / modified em algorithm / /

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