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Applied Work (applied + work)
Selected AbstractsCopulas and Temporal DependenceECONOMETRICA, Issue 1 2010Brendan K. Beare An emerging literature in time series econometrics concerns the modeling of potentially nonlinear temporal dependence in stationary Markov chains using copula functions. We obtain sufficient conditions for a geometric rate of mixing in models of this kind. Geometric , -mixing is established under a rather strong sufficient condition that rules out asymmetry and tail dependence in the copula function. Geometric , -mixing is obtained under a weaker condition that permits both asymmetry and tail dependence. We verify one or both of these conditions for a range of parametric copula functions that are popular in applied work. [source] Comment on a recently proposed resampling methodJOURNAL OF CHEMOMETRICS, Issue 3 2001Nicolaas (Klaas) M. Faber Abstract A recently introduced resampling method for determining the contribution of measurement errors to the standard error in bilinear and trilinear model estimates is critically examined. Using Monte Carlo simulations, it is shown that this method does not work as intended. A noise addition method is proposed as a generally applicable alternative. The principles involved in applied work are illustrated on real UV-vis data taken from the literature. Copyright © 2001 John Wiley & Sons, Ltd. [source] Defect profiles in semiconductor structuresPHYSICA STATUS SOLIDI (C) - CURRENT TOPICS IN SOLID STATE PHYSICS, Issue 10 2007P. G. Coleman Abstract Variable-energy positron annihilation spectroscopy (VEPAS) has found applications in structural and electronic analysis of thin films and near-surface layers, nanoporous materials, ion implantation, silicon photonics, and vacancy engineering. In all this applied work it is essential that VEPAS is treated as a normal member of the arsenal of spectroscopies available to the semiconductor research community. Examples are presented of how useful insights into current problems in semiconductor physics and technology have been gained by combinations of VEPAS and other techniques such as secondary ion mass spectrometry, transmission electron microscopy, electrical characterization, and optical techniques such as photoluminescence and optically-detected magnetic resonance. (© 2007 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim) [source] Efficiency of Junior High Schools and the Role of Proprietary StructureANNALS OF PUBLIC AND COOPERATIVE ECONOMICS, Issue 4 2003by Gian Paolo Barbetta We analyze a sample of 497 schools located in Piemonte, a region in the North-Western part of the country, distinguishing between public, private for-profit and private nonprofit schools. In stage one of the analysis, we provide robust estimates of efficiency scores, using the two most widely known techniques in applied works, namely Data Envelopment Analysis (DEA) and Stochastic Frontiers (SF). In stage two, we suggests that proprietary structure matters in explaining efficiency. Nonprofit schools are more efficient than public ones, whereas for-profit counterparts are outperformed by public producers. Moreover, we find that foreign and disabled students affects negatively efficiency, raising concerns for cream-skimming practices among private producers. Finally, school size is another important determinant of efficiency. [source] |