Overview
- Editors:
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George Roussas
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Intercollege Division of Statistics, University of California, Davis, USA
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Table of contents (51 chapters)
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Parameter Selection, Smoothing
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- Antonio Cuevas, Wenceslao Gonzalez-Manteiga
Pages 225-240
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Regression Models
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Front Matter
Pages 285-285
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- W. Gonzalez-Manteiga, C. M. Cadarso-Suarez
Pages 315-328
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- Y. P. Mack, N. J. Wulwick
Pages 361-374
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Dependent Data
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Front Matter
Pages 375-375
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- Adelchi Azzalini, Adrian Bowman
Pages 377-387
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- K. Helland, K. S. Lii, M. Rosenblatt
Pages 405-418
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- Tuan Dinh Pham, Lanh Tat Tran
Pages 419-430
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- M. Bhaskara Rao, G. Jogesh Babu, C. Radhakrishna Rao
Pages 431-441
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About this book
About three years ago, an idea was discussed among some colleagues in the Division of Statistics at the University of California, Davis, as to the possibility of holding an international conference, focusing exclusively on nonparametric curve estimation. The fruition of this idea came about with the enthusiastic support of this project by Luc Devroye of McGill University, Canada, and Peter Robinson of the London School of Economics, UK. The response of colleagues, contacted to ascertain interest in participation in such a conference, was gratifying and made the effort involved worthwhile. Devroye and Robinson, together with this editor and George Metakides of the University of Patras, Greece and of the European Economic Communities, Brussels, formed the International Organizing Committee for a two week long Advanced Study Institute (ASI) sponsored by the Scientific Affairs Division of the North Atlantic Treaty Organization (NATO). The ASI was held on the Greek Island of Spetses between July 29 and August 10, 1990. Nonparametric functional estimation is a central topic in statistics, with applications in numerous substantive fields in mathematics, natural and social sciences, engineering and medicine. While there has been interest in nonparametric functional estimation for many years, this has grown of late, owing to increasing availability of large data sets and the ability to process them by means of improved computing facilities, along with the ability to display the results by means of sophisticated graphical procedures.
Editors and Affiliations
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Intercollege Division of Statistics, University of California, Davis, USA
George Roussas