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Wilson, Paul W.

Overview
Works: 8 works in 35 publications in 1 language and 450 library holdings
Genres: Conference papers and proceedings 
Roles: Editor, Author
Classifications: HA35, 519
Publication Timeline
Key
Publications about Paul W Wilson
Publications by Paul W Wilson
Most widely held works by Paul W Wilson
Exploring research frontiers in contemporary statistics and econometrics : a festschrift for Léopold Simar by Ingrid van Keilegom( Book )
14 editions published between 2011 and 2014 in English and held by 46 libraries worldwide
"Léopold Simar became Professor of Statistics at the Université catholique de Louvain (UCL) in 1992, after moving from the Faculté des Sciences Economiques Sociales et Politiques (FSESP) at Facultés Universitaires Saint-Louis in Brussels, where he had served as Professor of Statistics since 1974 and as Dean of the FSESP from 1978 to 1990. He founded the Institute of Statistics at the UCL in 1992, and chaired the Institute from its creation until 2004. During this period, the Institute became recognized as a leading center for research in mathematical statistics. Over his long and successful career, Léopold Simar has worked on a variety of topics in statistics, including count-data models, Bayesian estimation and inference, and frontier estimation. He is regarded as one of the world's leading experts on frontier estimation; his work in this area has found application in a broad variety of fields, including efficiency studies in industry, air traffic control, the research output of universities, insurance companies, etc. This book collects contributions written by well-known statisticians and econometricians to acknowledge Léopold Simar's far-reaching scientific impact on Statistics and Econometrics throughout his career. The papers contained herein were presented at a conference in Louvain-la-Neuve in May 2009 in honor of his retirement. The contributions cover a broad variety of issues surrounding frontier estimation, which Léopold Simar has contributed much to over the past two decades, as well as related issues such as semiparametric regression and models for censored data."--Publisher's website
Estimation and inference in nonparametric frontier models : recent developments and perspectives by Léopold Simar( Book )
7 editions published between 2010 and 2013 in English and held by 11 libraries worldwide
La 4e de couverture indique : "Estimation and Inference in Nonparametric Frontier Models provides a thorough examination of this topic for students and researchers alike. While nonparametric estimators are widely used to estimate the productive efficiency of firms and other organizations, it is often done without any attempt to make statistical inference. Recent work has provided statistical properties of these estimators and methods for making statistical inference has established a link between frontier estimation and extreme value theory. New estimators that avoid many of the problems inherent with traditional efficiency estimators have been developed and these new estimators are robust with respect to outliers and avoid the problem of dimensionality. In addition, statistical properties, including asymptotic distributions, of the new estimators are uncovered. Finally, the authors show several approaches for introducing environmental variables into production models."
Exploring research frontiers in contemporary statistics and econometrics a festschrift for Léopold Simar by Ingrid van Keilegom( file )
4 editions published in 2012 in English and held by 8 libraries worldwide
Léopold Simar became Professor of Statistics at the Université catholique de Louvain (UCL) in 1992, after moving from the Faculté des Sciences Economiques Sociales et Politiques (FSESP) at Facultés Universitaires Saint-Louis in Brussels, where he had served as Professor of Statistics since 1974 and as Dean of the FSESP from 1978 to 1990. He founded the Institute of Statistics at the UCL in 1992, and chaired the Institute from its creation until 2004. During this period, the Institute became recognized as a leading center for research in mathematical statistics. Over his long and successful career, Léopold Simar has worked on a variety of topics in statistics, including count-data models, Bayesian estimation and inference, and frontier estimation. He is regarded as one of the world's leading experts on frontier estimation; his work in this area has found application in a broad variety of fields, including efficiency studies in industry, air traffic control, the research output of universities, insurance companies, etc. This book collects contributions written by well-known statisticians and econometricians to acknowledge Léopold Simar's far-reaching scientific impact on Statistics and Econometrics throughout his career. The papers contained herein were presented at a conference in Louvain-la-Neuve in May 2009 in honor of his retirement. The contributions cover a broad variety of issues surrounding frontier estimation, which Léopold Simar has contributed much to over the past two decades, as well as related issues such as semiparametric regression and models for censored data
Bootstrap estimation for nonparametric efficiency estimates by Paul W Wilson( Book )
2 editions published in 1995 in English and held by 5 libraries worldwide
Estimating and bootstrapping Malmquist indices by Léopold Simar( Book )
3 editions published in 1996 in English and held by 4 libraries worldwide
Income variation, the value of travel time, and implicit scheduling costs in staggered work hours equilibria by Paul W Wilson( Book )
3 editions published between 1986 and 1989 in English and held by 3 libraries worldwide
Anisotropic effects in optical thin films : Doctor of Philosophy at the University of Otago, Dunedin, New Zealand by Paul W Wilson( Archival Material )
1 edition published in 1989 in English and held by 1 library worldwide
Robust non-parametric quantile estimation of efficiency and productivity change in U.S. commercial banking, 1985-2004 by David C Wheelock( file )
1 edition published in 2006 in English and held by 0 libraries worldwide
"This paper describes a non-parametric, unconditional quantile estimator that unlike traditional non-parametric frontier estimators is both robust to data outliers and has a root-n convergence rate. We use this estimator to examine changes in the efficiency and productivity of U.S. banks between 1985 and 2004. We find that larger banks experienced larger efficiency and productivity gains than small banks, consistent with the presumption that recent changes in regulation and information technology have favored larger banks"--Federal Reserve Bank of St. Louis web site
 
Languages
English (35)
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