Sensitivity analysis is a key part of a comprehensive energy simulation study. Monte-Carlo techniques have been successfully applied to many simulation tools. Several sampling techniques have been proposed in the literature; however to date there has been no comparison of their performance for typical building simulation applications. This paper examines the performance of simple random, strati...

the study investigated secondary school students' environmental awareness in india and iran. nine hundred and ninety-one students were selected through the stratified random sampling technique from 103 secondary schools of mysore city (india) and tehran city (iran). subjects consisted of 476 boys and 515 girls. they were assessed using the environment awareness ability measure (eaam). resu...

Abstract Simple random-sampling resolutions of the raven paradox relevantly diverge from scientific practice. We develop a stratified model, yielding better fit and apparently rehabilitating simple random sampling as legitimate idealization. However, neither accommodates second concern, objection potential bias. third model that crucially invokes causal considerations, novel resolution handles ...

In this article, we propose compromise allocations for multivariate stratified random sampling using the auxiliary attributes under non-response. We modified extended lexicographic goal programming technique and compared it with fuzzy goal programming and value function technique. We addressed the problem of compromise allocation when the auxiliary information is in the form of an auxiliary att...

In the United States, low marriage rates and high divorce rates among the poor have led policymakers to target this group for skillsand values-based interventions. The current research evaluated the assumptions underlying these interventions; specifically, the authors examined whether low-income respondents held less traditional values toward marriage, had unrealistic standards for marriage, an...