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Algorithms	2
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Equations (Mathematics)	2
Estimation (Mathematics)	2
Item Response Theory	2
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Maximum Likelihood Statistics	2
Educational Assessment	1
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Psychometrika

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Kelderman, Henk

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Computing Maximum Likelihood Estimates of Loglinear Models from Marginal Sums with Special Attention to Loglinear Item Response Theory.

Peer reviewed

Kelderman, Henk – Psychometrika, 1992

Describes algorithms used in the computer program LOGIMO for obtaining maximum likelihood estimates of the parameters in loglinear models. These algorithms are also useful for the analysis of loglinear item-response theory models. Presents modified versions of the iterative proportional fitting and Newton-Raphson algorithms. Simulated data…

Descriptors: Algorithms, Computer Simulation, Equations (Mathematics), Estimation (Mathematics)

Computing Maximum Likelihood Estimates of Loglinear Models from Marginal Sums with Special Attention to Loglinear Item Response Theory. [Project Psychometric Aspects of Item Banking No. 53.] Research Report 91-1.

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Kelderman, Henk – 1991

In this paper, algorithms are described for obtaining the maximum likelihood estimates of the parameters in log-linear models. Modified versions of the iterative proportional fitting and Newton-Raphson algorithms are described that work on the minimal sufficient statistics rather than on the usual counts in the full contingency table. This is…

Descriptors: Algorithms, Computer Simulation, Educational Assessment, Equations (Mathematics)