This article constructs a distribution’s location model, from the perspective of a firm’s customers, suppliers, and employees, by applying a systematic quality function deployment (QFD) approach. The proposed approach aims to assist a distribution company’s location decision in selecting an optimal location that satisfies the overall location requirements. The QFD procedure began by collecting ...

This study explores the relationship between Perception of organizational structure and human resources development for the employees of Mobarakeh Esfahan Steel Company .For this study a descriptive method of a correlational nature was employed. The statistical population comprised all the Mobarakeh Esfahan Steel Company employees, from whom, using a systematic sampling technique and Cochran's ...

5.1 Overview this chapter describes the tiMSS 2007 sample design, which consists of a set of specifications for the target and survey populations, sampling frames, survey units, sample selection methods, sampling precision, and sample sizes. the sample design is intended to ensure that the tiMSS 2007 survey data provide accurate and efficient estimates of national student populations. Since mea...

The lp regression problem takes as input a matrix A ∈ R , a vector b ∈ R, and a number p ∈ [1,∞), and it returns as output a number Z and a vector xopt ∈ R such that Z = minx∈Rd ‖Ax− b‖p = ‖Axopt − b‖p. In this paper, we construct coresets and obtain an efficient two-stage sampling-based approximation algorithm for the very overconstrained (n ≫ d) version of this classical problem, for all p ∈ ...

The p regression problem takes as input a matrix A ∈ Rn×d, a vector b ∈ Rn, and a number p ∈ [1,∞), and it returns as output a number Z and a vector xopt ∈ Rd such that Z = minx∈Rd ‖Ax− b‖p = ‖Axopt − b‖p. In this paper, we construct coresets and obtain an efficient two-stage sampling-based approximation algorithm for the very overconstrained (n d) version of this classical problem, for all p ∈...

THE EFFECT OF NONRANDOM SELECTION OF CLUSTERS IN A TWO STAGECLUSTER DESIGN byJASON PARROTTDecember 2012Advisor: Dr. Shlomo SawilowskyMajor: Evaluation and ResearchDegree: Doctor of Philosophy Although not as efficient as simple random sampling, cluster sampling has beenregarded as a valid sampling technique when the researcher is attempting to save cost. However,...

The economic evaluation of diamond-bearing kimberlites is usually carried out in four stages. Expenditure tends to increase by an order of magnitude at each successive stage. At the end of each stage, the sample results should be critically appraised before deciding to proceed to the next phase. In the first stage, even before individual kimberlite bodies have been discovered, the indicator min...

In empirical work in economics it is common to report standard errors that account for clustering of units. Typically, the motivation given for the clustering adjustments is that unobserved components in outcomes for units within clusters are correlated. However, because correlation may occur across more than one dimension, this motivation makes it difficult to justify why researchers use clust...

We present notation that can be used to express a simple model for a nested study. The model is based on the assumption that response has been reported for subjects selected via a two stage cluster sample. At the first stage, a simple random sample of clusters (which we will also refer to as primary sampling units (PSU)) is selected. At the second stage, a simple random sample of subjects (whic...

In this paper, we have developed new multistage tests which guarantee prescribed level of power and are more efficient than previous tests in terms of average sampling number and the number of sampling operations. Without truncation, the maximum sampling numbers of our testing plans are absolutely bounded. Based on geometrical arguments, we have derived extremely tight bounds for the operating ...