Abstract: In this paper we consider an alpha-series process when the distribution of the first occurrence time of an event is assumed to be truncated normal distribution. Firstly, we study several ...

ABSTRACT: A black hole is treated as a self-contained, steady state, spherically symmetric, 4-dimensional spatial ball filled with blackbody radiation, which is embedded in 3-D space. To model the ...

Compositional data, which is data consisting of fractions or probabilities, is common in many fields including ecology, economics, physical science and political science. If these data would otherwise ...

1 Emeritus Professor, University of Bari Aldo Moro, Bari, Italy. 2 Department of Economics, Management and Business Law, University of Bari Aldo Moro, Bari, Italy. 3 Department of Education, ...

When data are collected subject to a detection limit, observations below the detection limit may be considered censored. In addition, the domain of such observations may be restricted; for example, ...

Abstract: In this article, to accurately estimate the rare failure rates for large-scale circuits (e.g., SRAM) where process variations are modeled as truncated normal distributions in ...

This is a preview. Log in through your library . Abstract We characterize all symmetric location models for which a linear combination of the median and the sample mean is an asymptotically efficient ...

This repository contains R codes for obtaining the maximum likelihood estimation (MLE) of the mixing angle θ and degrees of freedom from the truncated bivariate t-distribution as proposed by Shaw et ...