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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Time Series Analysis, Signal Detection
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Front Matter
Pages 475-475
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- Bjørn Auestad, Dag Tjøstheim
Pages 493-507
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- J. M. Stoyanov, P. M. Robinson
Pages 553-558
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Various Topics
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Front Matter
Pages 559-559
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- Prabir Burman, Deborah Nolan
Pages 603-612
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- Jianqing Fan, Young K. Truong, Yonghua Wang
Pages 613-627
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Various Topics (Continued)
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Front Matter
Pages 629-629
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- László Györfi, Edward C. Van Der Meulen
Pages 631-645
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- S. R. Jammalamadaka, X. Wan
Pages 647-656
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- Arnoud C. M. Van Rooij, Frits H. Ruymgaart
Pages 679-690
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