Analysis of Bivariate Ordered Categorical Data by Normal Models
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Clinical Psychology,Experimental and Cognitive Psychology,Analysis
Link
http://link.springer.com/content/pdf/10.2333/bhmk.13.19_87.pdf
Reference22 articles.
1. Amemiya, T. (1973). Bivariate probit analysis: Minimum chi-square methods. Jour. Amer. Statist Assoc. 69, 940–944.
2. Asano, C., Watanabe, M., Hosokawa, K. and Kurihara, K. (1982). A recent development in NISAN System. Bull. Inform. Cyber., 20, 79–96.
3. Ashford, J.R. (1959). An approach to the analysis of data for semi-quantal responses in biological assay. Biometrics, 15, 573–581.
4. Ashford, J.R. and Sowden, R.R. (1970). Multivariate probit analysis. Biometrics, 26, 535–546.
5. Bhapkar, V.P. (1980). ANOVA and MANOVA: Models for categorical data, in Handbook of Statistics, Vol. 1, ed. P.K. Krishnaiah, 343–387. North-Holland.
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1. Validity and Applicability of Several Tests for Comparing Marginal Distributions of a Square Table with Ordered Categories;Behaviormetrika;1991-07
2. Latent scale linear models for multivariate ordinal responses and analysis by the method of weighted least squares;Annals of the Institute of Statistical Mathematics;1987-12
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