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Volumn 47, Issue 4, 2013, Pages 688-706

Mean estimation with data missing at random for functional covariables

Author keywords

averaged non parametric estimates; functional covariable; missing at random; non parametric functional kernel regression; root n consistency

Indexed keywords


EID: 84884474503     PISSN: 02331888     EISSN: 10294910     Source Type: Journal    
DOI: 10.1080/02331888.2011.650172     Document Type: Article
Times cited : (41)

References (29)
  • 1
    • 0017133178 scopus 로고
    • Inference and missing data
    • doi:10.1093/biomet/63.3.581
    • Rubins, D. 1976. Inference and missing data. Biometrika, 63: 581 - 592. (doi:10.1093/biomet/63.3.581)
    • (1976) Biometrika , vol.63 , pp. 581-592
    • Rubins, D.1
  • 2
    • 84950937870 scopus 로고
    • Nonparametric estimation of mean functionals with data missing at random
    • doi:10.1080/01621459.1994.10476448
    • Cheng, P. E. 1994. Nonparametric estimation of mean functionals with data missing at random. J. Amer. Statist. Assoc., 89: 81 - 87. (doi:10.1080/01621459.1994.10476448)
    • (1994) J. Amer. Statist. Assoc. , vol.89 , pp. 81-87
    • Cheng, P.E.1
  • 3
    • 0141495120 scopus 로고    scopus 로고
    • Efficient estimation of average treatment effects using the estimated propensity score
    • doi:10.1111/1468-0262.00442
    • Hirano, K., Imbens, G. W. and Ridder, G. 2003. Efficient estimation of average treatment effects using the estimated propensity score. Econometrica, 71 (4): 1161 - 1189. (doi:10.1111/1468-0262.00442)
    • (2003) Econometrica , vol.71 , Issue.4 , pp. 1161-1189
    • Hirano, K.1    Imbens, G.W.2    Ridder, G.3
  • 4
    • 46249131752 scopus 로고    scopus 로고
    • Demystifying double robustness: A comparison of alternative strategies for estimating a population mean from incomplete data
    • doi:10.1214/07-STS227
    • Kang, J. D.Y. and Schafer, J. L. 2007. Demystifying double robustness: A comparison of alternative strategies for estimating a population mean from incomplete data. Statist. Sci., 22: 523 - 539. (doi:10.1214/07-STS227)
    • (2007) Statist. Sci. , vol.22 , pp. 523-539
    • Kang, J.D.Y.1    Schafer, J.L.2
  • 5
    • 46249085099 scopus 로고    scopus 로고
    • Comment: Performance of double-robust estimators when "inverse probability" weights are highly variable
    • doi:10.1214/07-STS227D
    • Robins, M., Sued, M., Lei-Gomez, Q. and Rotnitzky, A. 2007. Comment: Performance of double-robust estimators when "inverse probability" weights are highly variable. Statist. Sci., 22: 544 - 559. (doi:10.1214/07-STS227D)
    • (2007) Statist. Sci. , vol.22 , pp. 544-559
    • Robins, M.1    Sued, M.2    Lei-Gomez, Q.3    Rotnitzky, A.4
  • 8
    • 8644286824 scopus 로고    scopus 로고
    • Introduction to the emerging issues in longitudinal and functional data analysis (with discussion)
    • Davidian, M., Lin, X. and Wang, J. L. 2004. Introduction to the emerging issues in longitudinal and functional data analysis (with discussion). Statist. Sinica, 14 (3): 613 - 629.
    • (2004) Statist. Sinica , vol.14 , Issue.3 , pp. 613-629
    • Davidian, M.1    Lin, X.2    Wang, J.L.3
  • 9
    • 34247380333 scopus 로고    scopus 로고
    • Introduction to the special issue on statistics for functional data
    • doi:10.1016/j.csda.2006.10.017
    • González Manteiga, W. and Vieu, P. 2007. Introduction to the special issue on statistics for functional data. Comput. Statist. Data Anal, 51 (10): 4788 - 4792. (doi:10.1016/j.csda.2006.10.017)
    • (2007) Comput. Statist. Data Anal , vol.51 , Issue.10 , pp. 4788-4792
    • González Manteiga, W.1    Vieu, P.2
  • 10
    • 36048956916 scopus 로고    scopus 로고
    • An overview to modelling functional data
    • doi:10.1007/s00180-007-0043-2
    • Valderrama, M. 2007. An overview to modelling functional data. Comput. Statist., 22: 331 - 334. (doi:10.1007/s00180-007-0043-2)
    • (2007) Comput. Statist. , vol.22 , pp. 331-334
    • Valderrama, M.1
  • 11
    • 70449469146 scopus 로고    scopus 로고
    • High-dimensional data: A fascinating statistical challenge
    • doi:10.1016/j.jmva.2009.10.012
    • Ferraty, F. 2010. High-dimensional data: A fascinating statistical challenge. J. Multivariate Anal., 101: 305 - 306. (doi:10.1016/j.jmva.2009.10.012)
    • (2010) J. Multivariate Anal. , vol.101 , pp. 305-306
    • Ferraty, F.1
  • 13
    • 0036448834 scopus 로고    scopus 로고
    • The functional nonparametric model and application to spectrometric data
    • doi:10.1007/s001800200126
    • Ferraty, F. and Vieu, P. 2002. The functional nonparametric model and application to spectrometric data. Comput. Statist, 17 (4): 545 - 564. (doi:10.1007/s001800200126)
    • (2002) Comput. Statist , vol.17 , Issue.4 , pp. 545-564
    • Ferraty, F.1    Vieu, P.2
  • 14
    • 0842264210 scopus 로고    scopus 로고
    • Nonparametric models for functional data, with application in regression, time-series prediction and curve discrimination
    • doi:10.1080/10485250310001622686
    • Ferraty, F. and Vieu, P. 2004. Nonparametric models for functional data, with application in regression, time-series prediction and curve discrimination. J. Nonparametr. Stat., 16: 111 - 125. (doi:10.1080/10485250310001622686)
    • (2004) J. Nonparametr. Stat. , vol.16 , pp. 111-125
    • Ferraty, F.1    Vieu, P.2
  • 16
    • 61449267815 scopus 로고    scopus 로고
    • Advances on asymptotic normality in non-parametric functional time series analysis
    • doi:10.1080/02331880802184961
    • Delsol, L. 2009. Advances on asymptotic normality in non-parametric functional time series analysis. Statistics, 43 (1): 13 - 33. (doi:10.1080/02331880802184961)
    • (2009) Statistics , vol.43 , Issue.1 , pp. 13-33
    • Delsol, L.1
  • 18
    • 70449568627 scopus 로고    scopus 로고
    • k-nearest neighbour method in functional nonparametric regression
    • doi:10.1080/10485250802668909
    • Burba, F., Ferraty, F. and Vieu, P. 2009. k-nearest neighbour method in functional nonparametric regression. J. Nonparametr. Stat, 21 (4): 453 - 469. (doi:10.1080/10485250802668909)
    • (2009) J. Nonparametr. Stat , vol.21 , Issue.4 , pp. 453-469
    • Burba, F.1    Ferraty, F.2    Vieu, P.3
  • 19
    • 36049026514 scopus 로고    scopus 로고
    • Local smoothing regression with functional data
    • doi:10.1007/s00180-007-0045-0
    • Benhenni, K., Ferraty, F., Rachdi, M. and Vieu, P. 2007. Local smoothing regression with functional data. Comput. Statist, 22 (3): 353 - 369. (doi:10.1007/s00180-007-0045-0)
    • (2007) Comput. Statist , vol.22 , Issue.3 , pp. 353-369
    • Benhenni, K.1    Ferraty, F.2    Rachdi, M.3    Vieu, P.4
  • 21
    • 70350425206 scopus 로고    scopus 로고
    • Rate of uniform consistency for nonparametric estimates with functional variables
    • doi:10.1016/j.jspi.2009.07.019
    • Ferraty, F., Laksaci, A., Tadj, A. and Vieu, P. 2010. Rate of uniform consistency for nonparametric estimates with functional variables. J. Statist. Plann. Inference, 140: 335 - 352. (doi:10.1016/j.jspi.2009.07.019)
    • (2010) J. Statist. Plann. Inference , vol.140 , pp. 335-352
    • Ferraty, F.1    Laksaci, A.2    Tadj, A.3    Vieu, P.4
  • 22
    • 10244243742 scopus 로고    scopus 로고
    • Nonparametric regression estimation for dependent functional data: Asymptotic normality
    • doi:10.1016/j.spa.2004.07.006
    • Masry, E. 2005. Nonparametric regression estimation for dependent functional data: Asymptotic normality. Stochast. Process. Appl, 115 (1): 155 - 177. (doi:10.1016/j.spa.2004.07.006)
    • (2005) Stochast. Process. Appl , vol.115 , Issue.1 , pp. 155-177
    • Masry, E.1
  • 23
    • 34548232194 scopus 로고    scopus 로고
    • Nonparametric regression on functional data: Inference and practical aspects
    • doi:10.1111/j.1467-842X.2007.00480.x
    • Ferraty, F., Mas, A. and Vieu, P. 2007. Nonparametric regression on functional data: Inference and practical aspects. Aust. N. Z. J. Stat, 49 (3): 267 - 286. (doi:10.1111/j.1467-842X.2007.00480.x)
    • (2007) Aust. N. Z. J. Stat , vol.49 , Issue.3 , pp. 267-286
    • Ferraty, F.1    Mas, A.2    Vieu, P.3
  • 25
    • 77953968094 scopus 로고    scopus 로고
    • On the validity of the bootstrap in non-parametric functional regression
    • doi:10.1111/j.1467-9469.2009.00662.x
    • Ferraty, F., Van Keilegom, I. and Vieu, P. 2010. On the validity of the bootstrap in non-parametric functional regression. Scand. J. Stat, 37 (2): 286 - 306. (doi:10.1111/j.1467-9469.2009.00662.x)
    • (2010) Scand. J. Stat , vol.37 , Issue.2 , pp. 286-306
    • Ferraty, F.1    Van Keilegom, I.2    Vieu, P.3
  • 26
    • 55849089227 scopus 로고    scopus 로고
    • Kernel estimation of multivariate cumulative distribution function
    • doi:10.1080/10485250802326391
    • Liu, R. and Yang, L. 2010. Kernel estimation of multivariate cumulative distribution function. J. Nonparametr. Stat., 20: 661 - 677. (doi:10.1080/10485250802326391)
    • (2010) J. Nonparametr. Stat. , vol.20 , pp. 661-677
    • Liu, R.1    Yang, L.2
  • 27
    • 38249035197 scopus 로고
    • Estimation of integrated squared density derivatives
    • doi:10.1016/0167-7152(87)90083-6
    • Hall, P. and Marron, J. S. 1987. Estimation of integrated squared density derivatives. Statist. Probab. Lett., 6: 109 - 115. (doi:10.1016/0167-7152(87)90083-6)
    • (1987) Statist. Probab. Lett. , vol.6 , pp. 109-115
    • Hall, P.1    Marron, J.S.2
  • 28
    • 0012478212 scopus 로고    scopus 로고
    • Additive time series: The kernel integration method
    • Camlong-Viot, C., Sarda, P. and Vieu, P. 2000. Additive time series: The kernel integration method. Math. Methods Statist., 9: 358 - 375.
    • (2000) Math. Methods Statist. , vol.9 , pp. 358-375
    • Camlong-Viot, C.1    Sarda, P.2    Vieu, P.3
  • 29
    • 0004183085 scopus 로고
    • New York, New York,: Marcel Dekker
    • Lee, A. J. 1990. U-Statistics, New York: Marcel Dekker.
    • (1990) U-Statistics
    • Lee, A.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.