We consider the problem of estimating the correlation in bivariate normal data when the means and variances are assumed known, with emphasis on the small sample case. We consider eight different ...
Assessing the association between conceptual constructs are at the heart of quantitative research in educational and psychological research. Researchers apply different methods to the data to obtain ...
Modeling paired binary data by a new bivariate Bernoulli model with flexible beta kernel correlation
Paired binary data often appear in studies of subjects with two sites such as eyes, ears, lungs, kidneys, feet and so on. Three popular models [i.e., (Rosner in Biometrics 38:105-114, 1982) R model, ...
Department of Mathematical Sciences, University of Texas at Dallas, Richardson, TX, United States In genetic association studies, the multivariate analysis of correlated phenotypes offers statistical ...
The range of correlation coefficient of any bivariate discrete random vector with finite or countably infinite values is derived. We show analytically that the normal-transformed discrete bivariate ...
Abstract: This paper studies the correlation analysis for bivariate alarm signals in order to indicate whether two alarm signals are correlated, and their cause-effect direction if they are correlated ...
Ecosystem service value (ESV) is a crucial indicator for evaluating ecological environment health, and identifying its spatial driving factors will help to provide scientific decision support for ...
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