The purpose of this paper is to introduce a new estimation method for estimating the Archimedean copula dependence parameter in the non-parametric setting. The estimation of the dependence parameter has been selected as the value that minimizes the Cramér-von-Mises distance which measures the distance between Empirical Bernstein Kendall distribution function and true Kendall distribution functi...

conclusions the results of this study in terms of personality disorders and types of used drugs were in accordance with the previous studies results. it is necessary to design appropriate treatment plans for medical treatment of those with personality disorders. results there was a significant correlation between stimulant use and histrionic personality disorder (p < 0.001) and antisocial and n...

In the present paper, we show that $S^*$ iteration method can be used to approximate fixed point of almost contraction mappings. Furthermore, we prove that this iteration method is equivalent to CR iteration method  and it produces a slow convergence rate compared to the CR iteration method for the class of almost contraction mappings. We also present table and graphic to support this result. F...

This paper presents some connections between dependence analysis and mutation testing. Specifically, dependence analysis can be applied to two problems in mutation testing, captured by the questions: 1. How do we avoid the creation of equivalent mutants? 2. How do we generate test data that kills non-equivalent mutants? The theoretical connections described here suggest ways in which a dependen...

Background: According to recent researches, decision-making style and personality traits play an important role in the drug dependence vulnerability. The aim of current research was to investigate the moderator role of decision-making styles on relationship between personality and drug dependence vulnerability. Materials and Methods: Two hundred and twenty students of Tehran Payame Noor Univer...

In Demography and modelling mortality (or failure) data the univariate Makeham-Gompertz is well-known for its extension of exponential distribution. Here, a bivariate class of Gompertz--Makeham distribution is constructed based on random number of extremal events. Some reliability properties such as ageing intensity, stress-strength based on competing risks are given. Also dependence properties...

We propose an L2-norm based global testing procedure for the null hypothesis that multiple group mean functions are equal, for functional data with complex dependence structure. Specifically, we consider the setting of functional data with a multilevel structure of the form groups-clusters or subjects-units, where the unit-level profiles are spatially correlated within the cluster, and the clus...