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Statistical theory / Mathematics / Convex analysis / M-estimators / Behrens–Fisher problem / Normal distribution / Maximum likelihood / Convex optimization / Convex function / Statistics / Mathematical analysis / Estimation theory


Document Date: 2008-11-05 04:04:46

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City

Philadelphia / Berlin / River / /

Company

IBM / Gould / Prentice-Hall Inc. / Cox / D. S. P. / Algorithms SA / /

Facility

Gustavo Didier Duke University / Institute of Mathematical Statistics / /

IndustryTerm

ε-solution / δ-approximate solution / by-product / explicit solutions / polynomial systems / convergent algorithm / feasible solution / binary search / specific algorithm / closed-form solution / lines algorithm / /

Organization

Duke University / LR LM / Institute of Mathematical Statistics / DA CLA / Cambridge Univ. / Tulane University / /

Person

Gustavo Didier / Vladas Pipiras / Lemar / Victor Chernozhukov / Jon Lee / Pierre Bonami / Donald Richards / /

Position

FISHER / /

Product

Bartlett / /

ProgrammingLanguage

R / /

ProvinceOrState

New Jersey / New Mexico / /

Technology

specific algorithm / Speech Recognition / following algorithm / alternative convergent algorithm / cutting lines algorithm / The algorithm / simulation / provably convergent algorithm / /

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