Functional and Operatorial Statistics

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...

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Detalles Bibliográficos
Autor Principal: Dabo-Niang, Sophie
Autor Corporativo: International Workshop on Functional and Operatorial Statistics (Auteur)
Outros autores: Ferraty, Frédéric (Directeur de la publication)
Formato: Livre numérique
Idioma:Anglais
Publicado: Heidelberg : Physica-Verlag HD 2008.
Cham : Springer Nature
Series:Contributions to Statistics
Sujets:
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Nota: Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Functional and Operatorial Statistics, Texte imprimé, 9783790823042
• Functional and Operatorial Statistics, Texte imprimé, 9783790825602
• Functional and operatorial statistics, [editors] Sophie Dabo-Niang, Frédéric Ferraty, 2008, New York, Springer, [Physica-Verlag], 1 vol. (xix-303 p.), Contributions to statistics, 978-3-7908-2061-4
Descripción
Résumé: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.
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Archives Springer e-books (Licence nationale)
ISBN:9783790820621
ISSN:2628-8966
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