WorldCat Identities

Simar, Léopold

Overview
Works: 74 works in 254 publications in 2 languages and 2,682 library holdings
Genres: Conference papers and proceedings 
Roles: Author, Editor, Other, Honoree
Publication Timeline
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Most widely held works by Léopold Simar
Applied multivariate statistical analysis by Wolfgang Härdle( )

69 editions published between 2003 and 2015 in 3 languages and held by 1,667 WorldCat member libraries worldwide

"A state of the art presentation of the tools and concepts of multivariate data analysis with a strong focus on applications. The first part is devoted to graphical techniques describing the distributions of the involved variables. The second part deals with multivariate random variables and presents distributions, estimators and tests for various practical situations. The last part covers multivariate techniques and introduces the reader into the wide variety of tools for multivariate data analysis."--Jacket
Advanced robust and nonparametric methods in efficiency analysis : methodology and applications by Cinzia Daraio( )

21 editions published between 2007 and 2010 in English and held by 551 WorldCat member libraries worldwide

Providing a systematic and comprehensive treatment of recent developments in efficiency analysis, this readable book makes available an intuitive yet rigorous presentation of advanced nonparametric and robust methods. This flexible toolbox can be used in theories based on the neoclassical theory of production and its alternatives, including evolutionary theories. The methods are complemented by empirical analysis of three different economic fields: scientific research, mutual funds industry and the insurance sector. The research demonstrates the utility of the toolbox for a wide range of economic issues, including the analysis of economies of scale and scope, dynamics of age and agglomeration effects, trade-offs in production and service activities, and explanations of efficiency differentials. Of interest to applied economists broadly, this book will also be of interest to those focused on Operations Research and/or Management Science. "Léopold Simar is a pioneer. For over a decade he and a succession of talented co-authors have been addressing the shortcomings of the increasingly popular field of nonparametric frontier analysis for producer performance evaluation. The shortcomings of nonparametric frontier models include their deterministic and non-statistical nature, their sensitivity to outliers and extreme values, the absence of parameters that would enhance economic interpretation, and the lack of suitable techniques for incorporating exogenous influences on performance. This book, written with Cinzia Daraio, develops theoretical and empirical techniques for dealing with each. The problems are difficult and the analysis is advanced, but Simar and Daraio have delivered on their claim to have written a book that is both rigorous and readable. This original contribution will change the field." -C. A. Knox Lovell Léopold Simar is an established star in the productivity/efficiency field. He is like a fine vintage wine ? a pleasure to drink today. Cinzia Daraio is a rising star. She is like a new wine from an established vineyard ? excellent today, even better tomorrow. Cinzia and Leopold combine forces in this book. The result is a treat to drink, worthy of a feast. It is a sumptuous presentation of new research that embeds the nonparametric approach to efficiency measurement into a statistical framework. Enjoy" -Harold O. Fried
Computer intensive methods in statistics by Wolfgang Härdle( Book )

13 editions published between 1993 and 2013 in English and German and held by 173 WorldCat member libraries worldwide

The computer has created new fields in statistic. Numerical and statistical problems that were untackable five to ten years ago can now be computed even on portable personal computers. A computer intensive task is for example the numerical calculation of posterior distributions in Bayesian analysis. The Bootstrap and image analysis are two other fields spawned by the almost unlimited computing power. It is not only the computing power through that has revolutionized statistics, the graphical interactiveness on modern statistical environments has given us the possibility for deeper insight into our data. On November 21,22 1991 a conference on computer Intensive Methods in Statistics has been organized at the Universite Catholique de Louvain, Louvain-La-Neuve, Belgium. The organizers were Jan Beirlant (Katholieke Universiteit Leuven), Wolfgang Hardie (Humboldt-Universitat zu Berlin) and Leopold Simar (Universite Catholique de Louvain and Facultes Universitaires Saint-Louis). The meeting was the Xllth in the series of the Rencontre Franco-Beige des Statisticians. Following this tradition both theoretical statistical results and practical contributions of this active field of statistical research were presented. The four topics that have been treated in more detail were: Bayesian Computing; Interfacing Statistics and Computers; Image Analysis; Resampling Methods. Selected and refereed papers have been edited and collected for this book. 1) Bayesian Computing
Specifying Statistical Models : From Parametric to Non-Parametric, Using Bayesian or Non-Bayesian Approaches by J. P Florens( )

1 edition published in 1983 in English and held by 50 WorldCat member libraries worldwide

During the last decades. the evolution of theoretical statistics has been marked by a considerable expansion of the number of mathematically and computationaly trac­ table models. Faced with this inflation. applied statisticians feel more and more un­ comfortable: they are often hesitant about their traditional (typically parametric) assumptions. such as normal and i. i. d . • ARMA forms for time-series. etc . • but are at the same time afraid of venturing into the jungle of less familiar models. The prob­ lem of the justification for taking up one model rather than another one is thus a crucial one. and can take different forms. (a) ~~~£ifi~~~iQ~ : Do observations suggest the use of a different model from the one initially proposed (e. g. one which takes account of outliers). or do they render plau­ sible a choice from among different proposed models (e. g. fixing or not the value of a certai n parameter) ? (b) tlQ~~L~~l!rQ1!iIMHQ~ : How is it possible to compute a "distance" between a given model and a less (or more) sophisticated one. and what is the technical meaning of such a "distance" ? (c) BQe~~~~~~ : To what extent do the qualities of a procedure. well adapted to a "small" model. deteriorate when this model is replaced by a more general one? This question can be considered not only. as usual. in a parametric framework (contamina­ tion) or in the extension from parametriC to non parametric models but also
Estimation and inference in nonparametric frontier models : recent developments and perspectives by Léopold Arnold H. M Simar( Book )

8 editions published between 2010 and 2013 in English and held by 20 WorldCat member 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( Book )

3 editions published between 2011 and 2014 in English and held by 15 WorldCat member 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
Applied Multivariate Statistical Analysis by Wolfgang Härdle( )

5 editions published between 2007 and 2015 in English and Undetermined and held by 11 WorldCat member libraries worldwide

Pitfalls of normal-gamma stochastic frontier models by Christian Ritter( Book )

4 editions published in 1994 in English and held by 8 WorldCat member libraries worldwide

Productivity growth in industrialized countries by Léopold Simar( Book )

4 editions published in 1998 in English and Undetermined and held by 8 WorldCat member libraries worldwide

On the inconsistency of bootstrap distribution estimators by Peter Hall( Book )

5 editions published in 1991 in English and held by 8 WorldCat member libraries worldwide

Some problems with the ferrier/hirschberg bootstrap idea by Léopold Simar( Book )

4 editions published in 1997 in English and held by 8 WorldCat member libraries worldwide

Iterated bootstrap with applications to frontier models by Peter Hall( Book )

5 editions published between 1991 and 1993 in English and held by 8 WorldCat member libraries worldwide

Efficient semiparametric estimation in stochastic frontier model by Byeong U Park( Book )

4 editions published in 1992 in English and held by 7 WorldCat member libraries worldwide

Another look at the american electrical utility data by Christian Ritter( Book )

5 editions published in 1994 in English and held by 7 WorldCat member libraries worldwide

Aspects of statistical analysis in DEA-type frontier models by L Simar( Book )

3 editions published in 1995 in English and held by 7 WorldCat member libraries worldwide

Semiparametric estimation in single index poisson regression : a practical approach by Daniela Climov( Book )

2 editions published in 2001 in English and held by 7 WorldCat member libraries worldwide

In a single index Poisson regression model with unknown link function, the index parameter can be root-n consistently estimated by the method of pseudo maximumum likelihood. In this paper, we study, by simulation arguments, the practical validity of the asymptotic behavior of the pseudo maximum likelihood index estimator and of some associated cross-validation bandwidths. A robust practical rule for implementing the pseudo maximum likelihood estimation method is suggested, which uses the bootstrap for estimating the variance of the index estimator and a variant of bagging for numerically stabilizing its variance. Our method gives reasonable results even for moderate sized samples thus it can be used for doing statistical inference in practical situtations. The procedure is illustrated through a real data example. -- bootstrap ; Single index models ; Poisson regression ; kernel estimation ; bandwidth selection
A general framework for frontier estimation with panel data by A Kneip( Book )

3 editions published in 1995 in English and held by 7 WorldCat member libraries worldwide

Estimating and bootstrapping Malmquist indices by L Simar( Book )

5 editions published in 1996 in English and Undetermined and held by 7 WorldCat member libraries worldwide

Bootstrap estimation for nonparametric efficiency estimates by Paul W Wilson( Book )

3 editions published in 1995 in English and held by 6 WorldCat member libraries worldwide

 
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Applied multivariate statistical analysis Applied Multivariate Statistical Analysis
Covers
Advanced robust and nonparametric methods in efficiency analysis : methodology and applicationsApplied Multivariate Statistical Analysis
Alternative Names
Léopold Simar Belgisch econoom

Léopold Simar economist (Université Catholique de Louvain)

Léopold Simar Wirtschaftswissenschaftler/in (Université Catholique de Louvain)

Simar, L.

Simar, L. (Léopold)

Simar, Léopold

Simar, Léopold Arnold H.M.

Languages
English (160)

German (3)