On the one-sample location hypothesis for mixed bivariate data

DOI10.1080/03610920008832623zbMath0993.62014OpenAlexW2015570194MaRDI QIDQ4550595

Alexander R. de Leon, Keumhee Chough Carrière

Publication date: 24 September 2002

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920008832623

zbMATH Keywords

consistencylikelihood ratio testlocation modelpower functions

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03)

Related Items (3)

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Cites Work

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• The location model for mixtures of categorical and continuous variables
• Applications of Correlation Models for Biserial Data
• Maximum likelihood estimation for mixed continuous and categorical data with missing values
• Ellipsoidally symmetric extensions of the general location model for mixed categorical and continuous data
• Regression Models for a Bivariate Discrete and Continuous Outcome with Clustering
• Multivariate Two Sample Tests with Dichotomous and Continuous Variables. I. The Location Model
• Multivariate Correlation Models with Mixed Discrete and Continuous Variables
• Correlation Between a Discrete and a Continuous Variable. Point-Biserial Correlation

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