Statistical inference in constrained latent class models for multinomial data based on $$\phi $$ ϕ -divergence measures-Reference-Cited by-同舟云学术

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Statistical inference in constrained latent class models for multinomial data based on $$\phi $$ ϕ -divergence measures

Published:2017-07-04 Issue:3 Volume:12 Page:605-636
ISSN:1862-5347
Container-title:Advances in Data Analysis and Classification
language:en
Short-container-title:Adv Data Anal Classif

Author:

Felipe A.,Martín N.,Miranda P.,Pardo L.

Funder

Spanish Government

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Statistics and Probability

Link

http://link.springer.com/article/10.1007/s11634-017-0289-7/fulltext.html

Reference36 articles.

1. Abar B, Loken E (2010) Self-regulated learning and self-directed study in a pre-college sample. Learn Individ Differ 20:25–29

2. Agresti A (1996) An introduction to categorical data analysis. Wiley, New York

3. Bartolucci F, Forcina A (2002) Extended RC association models allowing for order restrictions and marginal modelling. J Am Math Assoc 97(460):1192–1199

4. Berkson J (1980) Minimum chi-square, not maximum likelihood! Ann Stat 8(3):457–487

5. Biemer P (2011) Latent class analysis and survey error. Wiley, New York

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1. Generalized Cramér’s coefficient via f-divergence for contingency tables;Advances in Data Analysis and Classification;2023-10-05

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