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- 2010032107 contributor B11775124.
- 2010032107 created "2011.".
- 2010032107 date "2011".
- 2010032107 date "2011.".
- 2010032107 dateCopyrighted "2011.".
- 2010032107 description "Includes bibliographical references and index.".
- 2010032107 description "Machine generated contents note: -- List of illustrations -- List of datasets -- PART I: REGRESSION MODELLING FOR FDA -- 1. Unifying presentation for functional regression modelling, F. Ferraty and P. Vieu -- 2. Functional linear regression, H. Cardot and P. Sarda -- 3. Linear processes for functional data, A. Mas and B. Pumo -- 4. Kernel regression estimation for functional data, F. Ferraty and P. Vieu -- 5. Nonparametric methods for alpha-mixing functional data, L. Delsol -- 6. Functional coefficient models for economics and financial data, Z. Cai -- PART II: BENCHMARK METHODS FOR FDA -- 7. Resampling methods for functional data, T. McMurry and D. Politis -- 8. Functional principal component analysis, P. Hall -- 9. Curve registration, J. Ramsay -- 10. Classification methods for functional data, A. Baillo, A. Cuevas, and R. Fraiman -- 11. Sparse functional data analysis, G. James -- PART III: TOWARDS STOCHASTIC BACKGROUND IN INFINITE-DIMENSIONAL SPACES -- 12. Vector integration in Banach spaces, N. Dinculeanu -- 13. Operator geometry in Statistics, K. Gustafson -- 14. On Bernstein type and maximal inequalities for dependent Banach-valued random vectors and applications, N. Rhomari -- 15. On spectral and random measures associated to a stationary process, A. Boudou and Y. Romain -- 16. An invitation to operator-based Statistics, Y. Romain -- Index.".
- 2010032107 extent "xvi, 494 p. :".
- 2010032107 identifier "9780199568444 (hardback)".
- 2010032107 isPartOf "[Oxford handbooks]".
- 2010032107 issued "2011".
- 2010032107 issued "2011.".
- 2010032107 language "eng".
- 2010032107 publisher "Oxford ; New York : Oxford University Press,".
- 2010032107 subject "519.5/35 22".
- 2010032107 subject "Multivariate analysis.".
- 2010032107 subject "QA278 .O94 2011".
- 2010032107 subject "Statistical functionals.".
- 2010032107 tableOfContents "Machine generated contents note: -- List of illustrations -- List of datasets -- PART I: REGRESSION MODELLING FOR FDA -- 1. Unifying presentation for functional regression modelling, F. Ferraty and P. Vieu -- 2. Functional linear regression, H. Cardot and P. Sarda -- 3. Linear processes for functional data, A. Mas and B. Pumo -- 4. Kernel regression estimation for functional data, F. Ferraty and P. Vieu -- 5. Nonparametric methods for alpha-mixing functional data, L. Delsol -- 6. Functional coefficient models for economics and financial data, Z. Cai -- PART II: BENCHMARK METHODS FOR FDA -- 7. Resampling methods for functional data, T. McMurry and D. Politis -- 8. Functional principal component analysis, P. Hall -- 9. Curve registration, J. Ramsay -- 10. Classification methods for functional data, A. Baillo, A. Cuevas, and R. Fraiman -- 11. Sparse functional data analysis, G. James -- PART III: TOWARDS STOCHASTIC BACKGROUND IN INFINITE-DIMENSIONAL SPACES -- 12. Vector integration in Banach spaces, N. Dinculeanu -- 13. Operator geometry in Statistics, K. Gustafson -- 14. On Bernstein type and maximal inequalities for dependent Banach-valued random vectors and applications, N. Rhomari -- 15. On spectral and random measures associated to a stationary process, A. Boudou and Y. Romain -- 16. An invitation to operator-based Statistics, Y. Romain -- Index.".
- 2010032107 title "The Oxford handbook of functional data analysis / edited by Frederic Ferraty and Yves Romain.".
- 2010032107 type "text".