A number of nonparametric methods exist when studying the population and its parameters in the situation when the distribution is unknown. Some of them such as "resampling bootstrap method" are based on resampling from an initial sample. In this article empirical likelihood approach is introduced as a nonparametric method for more efficient use of auxiliary information to construct...

This paper suggests an outlier detection procedure which applies a nonparametric model accounting for undesired outputs and exogenous influences in the sample. Although efficiency is estimated in a deterministic frontier approach, each potential outlier initially benefits of the doubt of not being an outlier. We survey several outlier detection procedures and select five complementary methodolo...

Abstract. Since the 1970s, in-migration has driven swelling human presence and dramatic physical landscape changes in the Northern Ecuadorian Amazon frontier. Particularly in recent years, population growth and redistribution has engendered important consequences on deforestation and on the incipient, but increasing, urbanization in the frontier. This paper uses longitudinal and multi-scale dat...

Generalized autoregressive conditional heteroscedasticity (GARCH) models have long been considered as one of the most successful families of approaches for volatility modeling in financial return series. In this paper, we propose an alternative approach based on methodologies widely used in the field of statistical machine learning. Specifically, we propose a novel nonparametric Bayesian mixtur...

in this article, we have used 36 electricity distribution companies of iran and by using input-oriented dea, we analysis the companies technical efficiency with respect to group frontier and metafrontier following restructuring, then we investigate the factors affecting efficiency. the companies decomposed to two groups in terms of high and low circuit density. for discussing the impact of stru...

Abstract Although human capital has been recognized as playing important role in spurring productivity growth, its empirical effect remains ambiguous due to the possibility of latent heterogeneity. To reveal impact this driver economic we propose an alternative methodology, robust frontier non parametric location-scale models for accommodating simultaneously problem model specification uncertai...

The scarcity of water resources and supply resources limitation, have caused an increasing gap between water supply and demand specially in recent decades in almost all regions of the globe. One of the best known solutions proposed by the economists is using the different water pricing approaches thereby obtaining the optimal allocation and social justice. To this purpose, this paper uses the p...

The paper develops tools for reconciling diverse measures which characterize the ®nancial performance of the Fortune 500 companies. The technology of data envelopment analysis (DEA) is employed to determine a multi-factor ®nancial performance model which inherently recognizes tradeo€s among various ®nancial measures. This study o€ers an alternative perspective and characterization on the perfor...