Linear systematic sampling design is very simple and operationally convenient in practice, but, when the population size is not a multiple of the sample size, results in a variable sample size and in this case sample mean as an estimator of the population mean is not unbiased. To overcome these difficulties and in some cases to increase the efficiency, a number of modifications of linear system...

This study develops a least squares support vector machines (LS-SVM) based model for bivariate process to diagnose abnormal patterns of process mean vector, and to help identify abnormal variable(s) when Shewhart-type multivariate control charts based on Hotelling’s T 2 are used. On the basis of studying and defining the normal/abnormal patterns of the bivariate process mean shifts, a LS-SVM pa...

Shewhart charts, also known as control charts, are important Statistical Process Control (SPC) techniques used for prompt detection of failures in a manufacturing process and minimization of production costs. Techniques have been used to find the chart’s parameters that best comply with economic and statistical requirements. In this paper a method that integrates a Greedy and a Tabu-Search (TS)...

application of modern irrigation and drainage canals for efficient use of water resources is necessary. thus , identifying the factors influencing farmers ’ attitudes toward participation in irrigation and drainage projects (idp) is essential. the purpose of this study is to identify factors affecting attitude toward participation in idp in syakh darenjan, fars province , iran. stratified rando...

In this paper, we propose a variable sample distributed algorithm for the computation of stochastic Nash equilibrium in which the objective functions are replaced, at each iteration, by sample average approximations. We investigate the contraction mapping properties of the variable sample distributed algorithm and show that the accuracy of estimators yielded in the algorithms to their true coun...

inverse sampling design is generally considered to be appropriate technique when the population is divided into two subpopulations, one of which contains only few units. in this paper, we derive the horvitz-thompson estimator for the population mean under inverse sampling designs, where subpopulation sizes are known. we then introduce an alternative unbiased estimator, corresponding to post-str...