The Box-Cox Transformation and Non-Iterative Estimation Methods for Ordinal Log-Linear Models-Reference-Cited by-同舟云学术

The Box-Cox Transformation and Non-Iterative Estimation Methods for Ordinal Log-Linear Models

Published:2012-12 Issue:4 Volume:54 Page:475-484
ISSN:1369-1473
Container-title:Australian & New Zealand Journal of Statistics
language:en
Short-container-title:Aust. N. Z. J. Stat.

Author:

Beh Eric J.¹,Farver Thomas B.²

Affiliation:

1. School of Mathematical & Physical Sciences; University of Newcastle, University Drive, 2308 Callaghan, New South Wales, Australia

2. Department of Population Health and Reproduction, School of Veterinary Medicine, 1014 Haring Hall; University of California, Davis, CA 95616 - 8743, USA

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/anzs.12007/fullpdf

Reference18 articles.

1. A new algorithm for estimating the parameters and their asymptotic covariance in correlation and association models;Ait-Sidi-Allal;Comput. Statist. Data Anal.,2004

2. Simple correspondence analysis: A bibliographic review;Beh;Int. Stat. Rev.,2004

3. A non-iterative alternative to ordinal log-linear models;Beh;J. Appl. Math. Decis. Sci.,2004

4. An evaluation of non-iterative methods for estimating the linear-by-linear parameter of ordinal log-linear models;Beh;Aust. N. Z. J. Statis.,2009

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