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- Includes supplementary material: sn.pub/extras
Part of the book series: Contributions to Statistics (CONTRIB.STAT.)
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Table of contents (44 papers)
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Front Matter
About this book
An increasing number of statistical problems and methods involve infinite-dimensional aspects. This is due to the progress of technologies which allow us to store more and more information while modern instruments are able to collect data much more effectively due to their increasingly sophisticated design. This evolution directly concerns statisticians, who have to propose new methodologies while taking into account such high-dimensional data (e.g. continuous processes, functional data, etc.). The numerous applications (micro-arrays, paleo- ecological data, radar waveforms, spectrometric curves, speech recognition, continuous time series, 3-D images, etc.) in various fields (biology, econometrics, environmetrics, the food industry, medical sciences, paper industry, etc.) make researching this statistical topic very worthwhile. This book gathers important contributions on the functional and operatorial statistics fields.
Authors and Affiliations
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Laboratoire GREMARS-EQUIPPE, Université Charles de Gaulle Lille 3, F-59653, France
Sophie Dabo-Niang
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Institut de Mathématiques de Toulouse Equipe LSP, Université Paul Sabatier, F-31062, France
Frédéric Ferraty
Bibliographic Information
Book Title: Functional and Operatorial Statistics
Authors: Sophie Dabo-Niang, Frédéric Ferraty
Series Title: Contributions to Statistics
DOI: https://doi.org/10.1007/978-3-7908-2062-1
Publisher: Physica Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Physica-Verlag Heidelberg 2008
Hardcover ISBN: 978-3-7908-2061-4Published: 29 May 2008
Softcover ISBN: 978-3-7908-2560-2Published: 21 October 2010
eBook ISBN: 978-3-7908-2062-1Published: 21 May 2008
Series ISSN: 1431-1968
Series E-ISSN: 2628-8966
Edition Number: 1
Number of Pages: XX, 304
Topics: Probability Theory and Stochastic Processes, Statistical Theory and Methods, Economic Theory/Quantitative Economics/Mathematical Methods, Statistics for Life Sciences, Medicine, Health Sciences