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Titlebook: Statistical Modeling and Analysis for Complex Data Problems; Pierre Duchesne,Bruno RÉMillard Book 2005 Springer-Verlag US 2005 Analysis.Es

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书目名称Statistical Modeling and Analysis for Complex Data Problems
编辑Pierre Duchesne,Bruno RÉMillard
视频video
概述One of ten volumes marking the 25th anniversary of GERAD covering most of the Center‘s research areas of expertise.Examines the methods and problems from a modeling perspective and surveys the state o
图书封面Titlebook: Statistical Modeling and Analysis for Complex Data Problems;  Pierre Duchesne,Bruno RÉMillard Book 2005 Springer-Verlag US 2005 Analysis.Es
描述.Statistical Modeling and Analysis for Complex Data Problems .treats some of today’s more complex problems and it reflects some of the important research directions in the field. Twenty-nine authors – largely from Montreal’s GERAD Multi-University Research Center and who work in areas of theoretical statistics, applied statistics, probability theory, and stochastic processes – present survey chapters on various theoretical and applied problems of importance and interest to researchers and students across a number of academic domains..
出版日期Book 2005
关键词Analysis; Estimator; Probability theory; Stochastic Processes; Time series; modeling; statistics
版次1
doihttps://doi.org/10.1007/b105993
isbn_softcover978-1-4419-3751-3
isbn_ebook978-0-387-24555-3
copyrightSpringer-Verlag US 2005
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versity Research Center and who work in areas of theoretical statistics, applied statistics, probability theory, and stochastic processes – present survey chapters on various theoretical and applied problems of importance and interest to researchers and students across a number of academic domains..978-1-4419-3751-3978-0-387-24555-3
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Book 2005 statistics, applied statistics, probability theory, and stochastic processes – present survey chapters on various theoretical and applied problems of importance and interest to researchers and students across a number of academic domains..
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Effective Construction of Modified Histograms in Higher Dimensions,ion is well adapted to the observed data. The approach is based on a data-driven coordinate system selected by cross-validation. We discuss the performance of our estimate with the help of a finite sample sirnulation study.
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