The Joint Distribution of Bivariate Exponential Under Linearly Related Model

In this paper, fundamental results of the joint distribution of the bivariate exponential distributions are established. The positive support multivariate distribution theory is important in reliability and survival analysis, and we applied it to the case where more than one failure or survival is observed in a given study. Usually, the multivariate distribution is restricted to those with marginal distributions of a specified and familiar lifetime family. The family of exponential distribution contains the absolutely continuous and discrete case models with a nonzero probability on a set of measure zero. Examples are given, and estimators are developed and applied to simulated data. Our findings generalize substantially known results in the literature, provide flexible and novel approach for modeling related events that can occur simultaneously from one based event

Analyzing International Students’ Study Anxiety in Higher Education

The purpose of this study is to explore international students’ study anxiety in a mid-sized public four-year university in Southeast Texas by comparing their existing study anxiety along lines of nationality, gender, age, major, degree, and stage of education. The subjects were selected using a convenience sample during the Spring of 2013. The researcher collected pertinent demographic data and used a modified version of the Study Anxiety Questionnaire (SAQ). The non-parametric statistical analysis focuses on the students’ perceptions and the study anxiety of international students which has been grouped into five anxiety subgroups. The results demonstrate some differences in anxiety levels among different demographic groups