A comparison of preliminary estimators in a class of ordinal data models

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A comparison of preliminary estimators in a class of ordinal data models

Article

Magazine

STATISTICA & APPLICAZIONI

Section

Open Access

Title

A comparison of preliminary estimators in a class of ordinal data models

Author

Maria Iannario

Publisher

Vita e Pensiero

Format

Article |

Pdf

Online from

01-2009

Issn

1824-6672 (print) | 2283-6659 (digital)

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Description Readers' comments

In this paper, we propose several initial values for the EM algorithm of maximum likelihood estimates of the parameters in a class of models, called CUB, recently introduced for ordinal data. Specifically, we compare the algorithmic efficiency of each estimator with respect to a naive proposal through a vast simulation experiment. The results confirm a substantial gain in efficiency of the moments estimators over the whole parametric space. Then, some extensions are also discussed and several applications to real data sets are presented.

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