Category Archives: OJS

Authors: Nannan He, Wanshan Wu, Sijing Liu ABSTRACT CThis paper aims to explore the relationship between logistics firm size and business diversification, especially in micro- and small-sized enterprises, and assess the diversification process of Chongqing logistics enterprises using new data … Continue reading →

Author: Andrew Luong ABSTRACT Generalized method of moments based on probability generating function is considered. Estimation and model testing are unified using this approach which also leads to distribution free chi-square tests. The estimation methods developed are also related to … Continue reading →

Authors: Maha Al-Eid, Mohamed M. Shoukri ABSTRACT Background: Repeatability is a statement on the magnitude of measurement error. When biomarkers are used for disease diagnoses, they should be measured accurately. Objectives: We derive an index of repeatability based on the … Continue reading →

Author: Dol Nath Khanal ABSTRACT Compound Poisson risk model has been simulated. It has started with exponential claim sizes. The simulations have checked for infinite ruin probabilities. An appropriate time window has been chosen to estimate and compare ruin probabilities. … Continue reading →

Authors: Elysia Garcia, Subhash Aryal, Emily Spence-Almaguer, Danielle Rohr, Scott T. Walters ABSTRACT Item Response Theory (IRT) models have been extensively used in the field of education to identify link between a response to a test item and underlying latent … Continue reading →

Authors: Kiyotaka Iki, Masayuki Okada, Sadao Tomizawa ABSTRACT The purpose of this paper is to propose a new model of asymmetry for square contingency tables with ordered categories. The new model may be appropriate for a square contingency table if … Continue reading →

Author: Arjun Banerjee ABSTRACT In this paper I present a novel polynomial regression method called Finite Difference Regression for a uniformly sampled sequence of noisy data points that determines the order of the best fitting polynomial and provides estimates of … Continue reading →

Authors: Rajesh Kumar Gupta, Subhash Kumar Yadav ABSTRACT One of the aims in survey sampling is to search for the estimators with highest efficiency. In the present paper, three improved estimators of population mean have been proposed using some non-traditional … Continue reading →

Authors: Duncan K. H. Fong, Qian Chen, Zhe Chen, Rui Wang ABSTRACT The authors propose new Bayesian models to obtain individual-level and time-varying regression coefficients in longitudinal data involving a single observation per response unit at each time period. An … Continue reading →