This paper studies a new randomized quasi-Monte Carlo method for estimating the mean and variance of the Pareto distribution. In many Monte Carlo simulations, there are some stability problems for estimating the population Pareto variance by using the sample variance. In this paper, we propose a randomized quasi-random number generator [quasiRNG] to generate Pareto random samples, such that the...

As a result of India's extremely rapid economic growth, the scale and seriousness of environmental problems are no longer in doubt. Whether pollution abatement technologies are utilized more efficiently is crucial in the analysis of environmental management because it influences the cost of alternative production and pollution abatement technologies. In this study, I use state–level industry da...

In this paper we compare estimates of technical efficiency for a cross-section of Australian dairy farms using various frontier methodologies; Bayesian and Classical stochastic frontiers, and Data Envelopment Analysis. We find that our Bayesian stochastic frontier estimates, when we impose monotonicity and curvature restrictions at all data points, significantly impact on our parameter estimate...

We show that metrics derived from recording gaze while reading, are better proxies for machine translation quality than automated metrics. With reliable eyetracking technologies becoming available for home computers and mobile devices, such metrics are readily available even in the absence of representative held-out human translations. In other words, readingderived MT metrics offer a way of ge...

Data mining is increasingly being used to gain competitive advantage. In this chapter, we propose a principle of maximum performance efficiency (MPE) as contribution to the data-mining toolkit. This principle seeks to estimate optimal or boundary behavior, in contrast to techniques like regression analysis, which predict average behavior. This MPE principle is explained in the context of activi...

Mass spectrometry has played a significant role in the identification of unknown phosphoproteins and sites of phosphorylation in biological samples. Analyses of protein phosphorylation, particularly large scale phosphoproteomic experiments, have recently been enhanced by efficient enrichment, fast and accurate instrumentation, and better software, but challenges remain because of the low stoich...

PURPOSE Gross efficiency (GE) is coupling power production to propulsion and is an important performance-determining factor in endurance sports. Measuring GE normally requires measuring VO(2) during submaximal exercise. In this study a method is proposed to estimating GE during high-intensity exercise. METHODS Nineteen subjects completed a maximal incremental test and 2 GE tests (1 experiment...