The aim of this paper is to find an optimal alternative bivariate ranked-set sample for one-sample location model bivariate sign test. Our numerical and theoretical results indicated that the optimal designs for the bivariate sign test are the alternative designs with quantifying order...

This paper analyzes the stochastic inventory control problem when the demand distribution is not known. In contrast to previous Bayesian inventory models, this paper adopts a non-parametric Bayesian approach in which the firm’s prior information is characterized by a Dirichlet process prior....

Analysis of data collected from a questionnaire survey of randomly selected Tennessee nursery businesses revealed that wholesalers and retailers differed significantly in their stated reasons for attending and participating in industry trade shows. When controlled for business size (gross...

Most economists understand linear regression as the estimation of the parameters of a linear model. There are two other ways of interpreting the results of linear regression, however, and most software packages designed specifically to handle data from complex sample surveys (for example,...

A multistage stochastic programming problem can be introduced either as the problem considered with respect to some abstract mathematical space or as a system of parametric optimization problems considered with respect to the Euclidean space with an inner (recurrent) dependence and mathematical...