Inference for functional data with applications
This book presents recently developed statistical methods and theory required for the application of the tools of functional data analysis to problems arising in geosciences, finance, economics and biology. It is concerned with inference based on second order statistics, especially those related to...
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| Главные авторы: | , |
|---|---|
| Формат: | Livre numérique |
| Язык: | Anglais |
| Опубликовано: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Редактирование: | 1st ed. 2012. |
| Серии: | Springer Series in Statistics
200 |
| Предметы: | |
| Online-ссылка: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Примечание: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Inference for functional data with applications, Lajos Horváth, Piotr Kokoszka, New York, Springer, 2012, 1 vol. (XIV-422 p.), Springer series in statistics, 978-1-4614-3654-6 |
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| 100 | 1 | |a Horváth, Lajos. | |
| 245 | 1 | 0 | |a Inference for functional data with applications |c Lajos Horváth, Piotr Kokoszka. |
| 250 | |a 1st ed. 2012. | ||
| 260 | |a New York, NY : |b Springer New York. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Springer Series in Statistics |v 200 |x 2197-568X | |
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| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Independent functional observations The functional linear model Dependent functional data References Index | |
| 505 | 0 | |a Independent functional observations -- The functional linear model -- Dependent functional data -- References -- Index | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a This book presents recently developed statistical methods and theory required for the application of the tools of functional data analysis to problems arising in geosciences, finance, economics and biology. It is concerned with inference based on second order statistics, especially those related to the functional principal component analysis. While it covers inference for independent and identically distributed functional data, its distinguishing feature is an in depth coverage of dependent functional data structures, including functional time series and spatially indexed functions. Specific inferential problems studied include two sample inference, change point analysis, tests for dependence in data and model residuals and functional prediction. All procedures are described algorithmically, illustrated on simulated and real data sets, and supported by a complete asymptotic theory. The book can be read at two levels. Readers interested primarily in methodology will find detailed descriptions of the methods and examples of their application. Researchers interested also in mathematical foundations will find carefully developed theory. The organization of the chapters makes it easy for the reader to choose an appropriate focus. The book introduces the requisite, and frequently used, Hilbert space formalism in a systematic manner. This will be useful to graduate or advanced undergraduate students seeking a self-contained introduction to the subject. Advanced researchers will find novel asymptotic arguments | ||
| 650 | |a Inférence | ||
| 650 | |a Statistique mathématique | ||
| 650 | |a Hilbert, Espaces de | ||
| 650 | |a Développements asymptotiques | ||
| 700 | 1 | |a Kokoszka, Piotr. |4 aut | |
| 776 | 0 | |0 162457189 |t Inference for functional data with applications |f Lajos Horváth, Piotr Kokoszka |c New York |n Springer |d 2012 |p 1 vol. (XIV-422 p.) |s Springer series in statistics |z 978-1-4614-3654-6 | |
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