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Comparison of presmoothing methods in kernel density estimation under censoring

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  • M. Jácome

    ()

  • I. Gijbels

    ()

  • R. Cao

    ()

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    Abstract

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    File URL: http://hdl.handle.net/10.1007/s00180-007-0076-6
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    Article provided by Springer in its journal Computational Statistics.

    Volume (Year): 23 (2008)
    Issue (Month): 3 (July)
    Pages: 381-406

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    Handle: RePEc:spr:compst:v:23:y:2008:i:3:p:381-406
    Contact details of provider: Web page: http://www.springer.com

    Order Information: Web: http://www.springer.com/statistics/journal/180/PS2

    Keywords: Censored data; Kaplan–Meier estimator; Local linear fit; Nadaraya–Watson smoother; Survival analysis;

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    1. Peter Hall & Rodney C. L. Wolff & Qiwei Yao, 1999. "Methods for estimating a conditional distribution function," LSE Research Online Documents on Economics 6631, London School of Economics and Political Science, LSE Library.
    2. C. Sánchez-Sellero & W. González-Manteiga & R. Cao, 1999. "Bandwidth Selection in Density Estimation with Truncated and Censored Data," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 51(1), pages 51-70, March.
    3. Cao, Ricardo & Cuevas, Antonio & Gonzalez Manteiga, Wensceslao, 1994. "A comparative study of several smoothing methods in density estimation," Computational Statistics & Data Analysis, Elsevier, vol. 17(2), pages 153-176, February.
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    Cited by:

    1. Shuowen Hu & D.S. Poskitt & Xibin Zhang, 2010. "Bayesian Adaptive Bandwidth Kernel Density Estimation of Irregular Multivariate Distributions," Monash Econometrics and Business Statistics Working Papers 21/10, Monash University, Department of Econometrics and Business Statistics.
    2. Qihua Wang & Gregg Dinse & Chunling Liu, 2012. "Hazard function estimation with cause-of-death data missing at random," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 64(2), pages 415-438, April.

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