Constrained estimation and the theorem of Kuhn-Tucker

Ori Davidov

doi:10.1155/JAMDS/2006/92970

Constrained estimation and the theorem of Kuhn-Tucker

Ori Davidov

Department of Statistics

Research output: Contribution to journal › Article › peer-review

Abstract

We explore several important, and well-known, statistical models in which the estimation procedure leads naturally to a constrained optimization problem which is readily solved using the theorem of Kuhn-Tucker.

Original language	English
Article number	92970
Journal	Journal of Applied Mathematics and Decision Sciences
Volume	2006
DOIs	https://doi.org/10.1155/JAMDS/2006/92970
State	Published - 2006

ASJC Scopus subject areas

General Decision Sciences
Statistics and Probability
Computational Mathematics
Applied Mathematics

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Constrained estimation and the theorem of Kuhn-Tucker

Abstract

ASJC Scopus subject areas

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