Solving the problem of latent class selection-Reference-Cited by-同舟云学术

Solving the problem of latent class selection

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications - LOPAL '18
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Author:

Abarda Abdallah¹,Bentaleb Youssef²,El Moudden Mustapha³,Dakkon Mohamed⁴,Azhari Mourad⁵,Zerouaoui Jamal⁵,Ettaki Badia⁶

Affiliation:

1. Laboratoire de Modélisation, Mathématiques et de Calculs, Economiques, FSJES, Université Hassan 1er, Settat, Morocco

2. EECOMAS-Lab, Ibn Tofail University, Kenitra, Morocco

3. Department of Mathematics, Moulay Ismail University, Meknes, Morocco

4. Département de Statistique et Informatique de Gestion, Université Abdelmalek Essaadi, Tetouan, Morocco

5. Ibn Tofail University, Kenitra, Morocco

6. Institut Superieur de l'Information, Rabat, Morocco

Publisher

ACM Press

Reference33 articles.

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2. Aitkin M, Anderson D, Hinde J (1981) Statistical modeling of data on teaching styles (with discussion). J. Roy. Statist. Soc. (Ser. A) 144:419--461

3. Akaike H (1998) Information theory and an extension of the maximum likelihood principle. In Selected Papers of Hirotugu Akaike. Springer, 199--213

4. Akaike H (1973) Information theory and an extension of the maximum likelihood principle. B. N. Petrov and F. Csaki (Eds.) Second international symposium on information theory. Budapest, Hungary: Akademai Kiado, pp 267--281

5. Andrews RL, Currim IS (2003) A comparison of segment retention criteria for finite mixture logit models. Journal of Marketing Research 40:235--243

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