Location & Availability for: The Oxford handbook of functional data a

 Staff view

You must be logged in to Tag Records

The Oxford handbook of functional data analysis /

edited by Frederic Ferraty and Yves Romain.

Book Cover
Names: Ferraty, Frédéric. | Romain, Y.
Vernacular: 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 α-mixing functional random variables / Laurent Delsol -- Functional coefficient models for economic and financial data / Zongwu Cai -- 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 -- 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.
Published: Oxford ; Oxford University Press, 2011.
Series: Oxford handbooks.
Topics: Multivariate analysis. | Statistical functionals. | Multivariate analyse. | Functionaalanalyse. | Data-analyse. | Funktionale Datenanalyse. | Datenanalyse. | Funktion. | Regressionsanalyse. | Statistik.
Tags: Add

Spaces will separate tags.
Use quotes for multi-word tags.

University of Illinois at Urbana-Champaign

Loading Holdings Data ... Loading

Location & Availability for: The Oxford handbook of functional data a