A Comparison of Recent EM Accelerators within Item Response Theory

Bartolucci, F.; Forcina, A.; Stanghellini, E.

doi:10.1007/978-3-662-01131-7_17

A Comparison of Recent EM Accelerators within Item Response Theory

F. Bartolucci³,
A. Forcina³ &
E. Stanghellini³

Conference paper

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Abstract

We use a latent class model to analyse the results of an aptitude test in Statistics assigned to a group of students at our University. We implement various algorithms for maximum likelihood estimation of the parameters (the EM algorithm, two accelerators of the EM algorithm introduced recently and a plain Fisher-scoring algorithm) and compare their relative performance on a real and a simulated data set.

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Authors and Affiliations

Dipartimento di Scienze Statistiche, Università di Perugia, Italy Via A. Pascoli, 1, C.P. 1315 Succ.1, 06100, Perugia (I), Italy
F. Bartolucci, A. Forcina & E. Stanghellini

Authors

F. Bartolucci
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A. Forcina
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E. Stanghellini
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Editor information

Editors and Affiliations

Statistics Department, IACR-Rothamsted, AL5 2JQ, Harpenden, Herts, UK
Roger Payne
Department of Mathematics, University of Bristol, BS8 1TW, Bristol, UK
Peter Green

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Bartolucci, F., Forcina, A., Stanghellini, E. (1998). A Comparison of Recent EM Accelerators within Item Response Theory. In: Payne, R., Green, P. (eds) COMPSTAT. Physica, Heidelberg. https://doi.org/10.1007/978-3-662-01131-7_17

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DOI: https://doi.org/10.1007/978-3-662-01131-7_17
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-1131-5
Online ISBN: 978-3-662-01131-7
eBook Packages: Springer Book Archive

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