A number of statistical problems and methods involve infinite-dimensional aspects. This is due to the progress of technologies which allow us to store more information while modern instruments are able to collect data effectively due to their sophisticated design. This book gathers contributions on the functional and operatorial statistics fields. Editor(s): Dabo-Niang, Sophie; Ferraty, Frederic. Series: Contributions to Statistics. Num Pages: 304 pages, 5 black & white tables, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 19. Weight in Grams: 1390. . 2008. Hardback. . . . . Books ship from the US and Ireland.

Bestandsnummer des Verk�ufers V9783790820614

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Titel: Functional and Operatorial Statistics
Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Erscheinungsjahr: 2008
Sprache: Englisch
ISBN-10: 379082061X
ISBN-13: 9783790820614
Einband: Hardcover
Zustand: New

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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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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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