1982PsychometrikaRequires access

Marginal Maximum Likelihood Estimation for the One-Parameter Logistic Model

David Thissen

Open publisher page 184 citations

Abstract

Two algorithms are described for marginal maximum likelihood estimation for the one-parameter logistic model. The more efficient of the two algorithms is extended to estimation for the linear logistic model. Numerical examples of both procedures are presented.

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What this paper is about

Two algorithms are described for marginal maximum likelihood estimation for the one-parameter logistic model. The more efficient of the two algorithms is extended to estimation for the linear logistic model. Numerical examples of both procedures are presented.

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OpenAlex reports 184 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Two algorithms are described for marginal maximum likelihood estimation for the one-parameter logistic model. The more efficient of the two algorithms is extended to estimation for the linear logistic model. Numerical examples of both procedures are presented.

Key concepts: Estimation theory, Maximum likelihood, Logistic regression, Restricted maximum likelihood, Marginal likelihood, Statistics, Mathematics, Maximum likelihood sequence estimation

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