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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oai:localhost:123456789-1298502023-07-17T15:13:21Z Functional and Operatorial Statistics Dabo-Niang, Sophie. Ferraty, Frédéric. SpringerLink (Online service) Estatística. Estatística - Distribuição (Teoria da probabilidade) 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 0 2022-10-06T07:52:25Z 2022-10-06T07:52:25Z 2008. Digital 519.2 D115f 9783790820621 197934 http://dx.doi.org/10.1007/978-3-7908-2062-1 http://dx.doi.org/10.1007/978-3-7908-2062-1 |
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| topic |
Estatística. Estatística - Distribuição (Teoria da probabilidade) |
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Estatística. Estatística - Distribuição (Teoria da probabilidade) Dabo-Niang, Sophie. Ferraty, Frédéric. SpringerLink (Online service) Functional and Operatorial Statistics |
| description |
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 |
| format |
Digital |
| author |
Dabo-Niang, Sophie. Ferraty, Frédéric. SpringerLink (Online service) |
| author_facet |
Dabo-Niang, Sophie. Ferraty, Frédéric. SpringerLink (Online service) |
| author_sort |
Dabo-Niang, Sophie. |
| title |
Functional and Operatorial Statistics |
| title_short |
Functional and Operatorial Statistics |
| title_full |
Functional and Operatorial Statistics |
| title_fullStr |
Functional and Operatorial Statistics |
| title_full_unstemmed |
Functional and Operatorial Statistics |
| title_sort |
functional and operatorial statistics |
| publishDate |
2022 |
| url |
http://dx.doi.org/10.1007/978-3-7908-2062-1 |
| work_keys_str_mv |
AT daboniangsophie functionalandoperatorialstatistics AT ferratyfrederic functionalandoperatorialstatistics AT springerlinkonlineservice functionalandoperatorialstatistics |
| _version_ |
1771689452547080192 |