Overview
- Presents significant and innovative contributions on statistical methodology
- All contributions selected after a thorough double blind review process
- Covers a broad range of topics
Part of the book series: Studies in Theoretical and Applied Statistics (STAS)
Part of the book sub series: Selected Papers of the Statistical Societies (STASSPSS)
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Table of contents (47 chapters)
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Statistical Theory
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Methods for Time Series, Spatial and Functional Data
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Statistical Modelling and Data Analysis
Keywords
About this book
Editors and Affiliations
About the editors
Avner Bar Hen, Professor of Statistics at the University of Paris Descartes. His primary research interests are in multivariate analysis, forest dynamics modeling, phylogenetics, and the generalized linear model. From 2008 to 2011, he served as president of the SFdS (French Society of Statistics).
Fortunato Pesarin is an emeritus professor of Statistics at the University of Padua’s Department of Statistics. His main research interests included nonparametric methods, bootstrap and permutation tests. He is co-author of three leading books on multivariate permutation tests based on the nonparametric combination methodology of dependent permutation partial tests.
Nicola Torelli, Professor of Statistics at the University of Trieste. His interests focus on the analysis of data from complex surveys and classification and clustering techniques. He is currently president of the SIS (Italian Statistical Society).
Bibliographic Information
Book Title: Advances in Theoretical and Applied Statistics
Editors: Nicola Torelli, Fortunato Pesarin, Avner Bar-Hen
Series Title: Studies in Theoretical and Applied Statistics
DOI: https://doi.org/10.1007/978-3-642-35588-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-35587-5Published: 10 July 2013
Softcover ISBN: 978-3-642-43193-7Published: 16 July 2015
eBook ISBN: 978-3-642-35588-2Published: 26 June 2013
Series ISSN: 2194-7767
Series E-ISSN: 2194-7775
Edition Number: 1
Number of Pages: XIX, 532
Number of Illustrations: 37 b/w illustrations, 41 illustrations in colour
Topics: Statistical Theory and Methods, Statistics for Business, Management, Economics, Finance, Insurance, Statistics for Life Sciences, Medicine, Health Sciences, Statistics for Social Sciences, Humanities, Law, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences