This article examines the estimation of two-stage clustered designs for education randomized control trials (RCTs) using the nonparametric Neyman causal inference framework that underlies experiments. The key distinction between the considered causal models is whether potential treatment and...

The white-collar crime attorney is a lawyer who is competent in general legal principles and in the substantive and procedural aspects of the law related to upper-class financial crime. Based on a sample of 310 convicted white-collar criminals and their defence lawyers, this paper presents...

The integrative correlation coefficient was developed to facilitate the validation of expression microarray results in public datasets, by identifying genes that are reproducibly measured across studies and even across microarray platforms. In the current study, we develop a number of...

The knowledge of the climatic behavior especially that one of semi-arid regions is required to optimize the management of water resources. Here climate variability is directly related to water resources that are of a high socio-economic and environmental significance. This work deals mainly with...

For consideration of structural design of buildings and infrastructure in Australia, this paper presents hazard modelling and mapping of extreme wind gusts under the current climate and likely future climate change. Statistical and probabilistic approaches are applied to analyse the daily...

We give an <Emphasis FontCategory="SansSerif">O(n <Superscript>2</Superscript>) time algorithm to find the population variance of tour costs over the solution space of the n city symmetric Traveling Salesman Problem (TSP). The algorithm has application in both the stochastic case, where the problem is specified in terms of edge costs which are pairwise...</superscript></emphasis>

Due the different possibilities for fit the Probability Density Functions adjustable to a wind speed data set, a best fit selection criterion is developed based on slope, intercept values and standard errors of Ordinary Linear Regression model calculated from the probabilistic model and...