A small enterprise’s credit rating is employed to measure its probability of defaulting on a debt, but, for small enterprises, financial data are insufficient or even unreliable. Thus, building a multi criteria credit rating model based on the qualitative and quantitative criteria is of importance to finance small enterprises’ activities. Till now, there has not been a multicriteria credit risk...

INTRODUCTION Exposure to prolonged war stress is understudied. While there is debate regarding the empirical data of the dose-response model for posttraumatic stress disorder (PTSD), little is known about how weekly changes in external stress influences the level of PTSD symptoms. The purpose of this study was to measure the relation between objective external stress and PTSD symptoms across ti...

In this study, the effect of initial heterogeneity of weight and density on heterogeneous growth (HetG) evaluated by the coefficient of the variation of weight in the young Nile tilapia Oreochromis niloticus of the territorial species was tested. Fish were maintained in a glass aquarium (8 and 2 L of water) with two levels of initial heterogeneity of weight: low and high, under two density cond...

In this paper we show how the Färe, Grosskopf and Lovell (1985) input congestion nonparametric test can be performed to reach a statistical conclusion. To achieve this goal, we use Simar and Wilson (1998, 2000) radial distance functions bootstrap technique. An empirical illustration on airports congestion is provided. The results show that the technology is globally congested and that nine of t...

BACKGROUND There are concerns about growing barriers to cancer research. We explored the characteristics of and barriers to global clinical cancer research. METHODS The American Society of Clinical Oncology International Affairs Committee invited 300 selected oncologists with research experience from 25 countries to complete a Web-based survey. Fisher's exact test was used to compare answers ...

In this work parametric and non-parametric statistical methods are proposed to analyze Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) data. A Multivariate Normal Distribution is proposed as a parametric statistical model of diffusion tensor data when magnitude MR images contain no artifacts other than Johnson noise. We test this model using Monte Carlo (MC) simulations of DT-MRI experimen...

athemat s.2012.1 Abstract In this article we introduce new classes of life distributions namely harmonic new better (worse) than used in expectation after specific age t0 HNBUE t0 (HNWUE t0). The closure properties under various reliability operations such as convolution, mixture, mixing and the homogeneous Poisson shock model of these classes are studied. Furthermore, nonparametric test is pro...

German Works Councils and Productivity: First Evidence from a Nonparametric Test This paper presents the first nonparametric test whether German works councils go hand in hand with higher labor productivity or not. It distinguishes between establishments that are covered by collective bargaining or not. Results from a Kolmogorov-Smirnov test for first order stochastic dominance tend to indicate...

A new nonparametric test of independence between the components of bivariate random vectors .X; Y / is motivated and evaluated in practice. The test statistics is based on the fact that under independence, every quantile of Y given X D x is constant. This is in contrast to the most commonly used basis that the joint probability density or distribution function ofX and Y , equals to the product ...