The Oxford handbook of functional data analysis /

"As technology progresses, we are able to handle larger and larger datasets. At the same time, monitoring devices such as electronic equipment and sensors (for registering images, temperature, etc.) have become more and more sophisticated. This high-tech revolution offers the opportunity to obs...

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Detalles Bibliográficos
Otros Autores: Ferraty, Frédéric, Romain, Y. (Yves)
Formato: Libro
Lenguaje:Inglés
Publicado: Oxford ; New York : Oxford University Press, 2011.
Colección:Oxford handbooks
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Aporte de:Registro referencial: Solicitar el recurso aquí
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245 0 4 |a The Oxford handbook of functional data analysis /  |c edited by Frederic Ferraty and Yves Romain. 
246 3 0 |a Handbook of functional data analysis 
246 3 0 |a Functional data analysis 
260 |a Oxford ;  |a New York :  |b Oxford University Press,  |c 2011. 
300 |a xvi, 494 p. :  |b ill. ;  |c 26 cm. 
490 1 |a [Oxford handbooks] 
504 |a Includes bibliographical references and index. 
505 0 |a Part I. Regression modeling for FDA: A unifying classification for functional regression modeling / Frédéric Ferraty and Philippe Vieu; Functional linear regression / Hervé Cardot and Pascal Sarda; Linear processes for functional data / André Mas and Besnik Pumo; Kernel regression estimation for functional data / Frédéric Ferraty and Philippe Vieu; Nonparametric methods for a(alpha)-mixing functional data / Laurent Delsol; Functional coefficient models for economics and financial data / Zongwu Cai -- Part II. Benchmark methods for FDA: Resampling methods for functional data / Timothy McMurry and Dimitris Politis; Principal component analysis for functional data: methodology, theory, and discussion / Peter Hall; Curve registration / James Ramsay; Classification methods for functional data / Amparo Baíllo, Antonio Cuevas, and Ricardo Fraiman; Sparseness and functional data analysis / Gareth James -- 
505 0 |a Part III. Towards a stochastic background in infinite-dimensional spaces: Vector integration and stochastic integration in Banach spaces / Nicolae Dinculeanu; Operator geometry in statistics / Karl Gustafson; On Bernstein type and maximal inequalities for dependent Banach-valued random vectors and applications / Noureddine Rhomari; On product measures associated with stationary processes / Alain Boudou and Yves Romain; An invitation to operator-based statistics / Yves Romain. 
520 |a "As technology progresses, we are able to handle larger and larger datasets. At the same time, monitoring devices such as electronic equipment and sensors (for registering images, temperature, etc.) have become more and more sophisticated. This high-tech revolution offers the opportunity to observe phenomena in an increasingly accurate way by producing statistical units sampled over a finer and finer grid, with the measurement points so close that the data can be considered as observations varying over a continuum. Such continuous (or functional) data may occur in biomechanics (e.g. human movements), chemometrics (e.g. spectrometric curves), econometrics (e.g. the stock market index), geophysics (e.g. spatio-temporal events such as El Nino or time series of satellite images), or medicine (electro-cardiograms/electro-encephalograms). It is well known that standard multivariate statistical analyses fail with functional data. However, the great potential for applications has encouraged new methodologies able to extract relevant information from functional datasets. This Handbook aims to present a state of the art exploration of this high-tech field, by gathering together most of major advances in this area ..."--  |c Provided by publisher. 
650 0 |a Multivariate analysis. 
650 0 |a Statistical functionals. 
650 7 |a Análisis estadístico multivariable.  |2 UDESA 
650 7 |a Funcionales estadísticas.  |2 UDESA 
700 1 |a Ferraty, Frédéric. 
700 1 |a Romain, Y.  |q (Yves) 
830 0 |a Oxford handbooks