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Sandrine Casanova

Personal Details

First Name:Sandrine
Middle Name:
Last Name:Casanova
Suffix:
RePEc Short-ID:pca1158
[This author has chosen not to make the email address public]

Affiliation

Groupe de Recherche en Économie Mathématique et Quantitative (GREMAQ)
Toulouse School of Economics (TSE)

Toulouse, France
http://www-gremaq.univ-tlse1.fr/
RePEc:edi:getlsfr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Casanova, Sandrine & Leconte, Eve, 2014. "A nonparametric model-based estimator for the cumulative distribution function of a right censored variable in a finite population," TSE Working Papers 14-487, Toulouse School of Economics (TSE).
  2. Casanova, Sandrine, 2009. "Using Nonparametric Conditional M-Quantiles to Estimate a Cumulative Distribution Function in a Domain," TSE Working Papers 09-133, Toulouse School of Economics (TSE).
  3. Leconte, E. & Poiraud-Casanova, S. & Tohomas-Agnan, C., 2000. "Smooth Conditional Distribution Function and Quantiles Under Random Censorship," Papers 00-543, Toulouse - GREMAQ.

Articles

  1. Poiraud-Casanova, Sandrine & Thomas-Agnan, Christine, 2000. "About monotone regression quantiles," Statistics & Probability Letters, Elsevier, vol. 48(1), pages 101-104, May.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Leconte, E. & Poiraud-Casanova, S. & Tohomas-Agnan, C., 2000. "Smooth Conditional Distribution Function and Quantiles Under Random Censorship," Papers 00-543, Toulouse - GREMAQ.

    Cited by:

    1. Dehghan, Mohammad Hossein & Duchesne, Thierry, 2011. "On the performance of some non-parametric estimators of the conditional survival function with interval-censored data," Computational Statistics & Data Analysis, Elsevier, vol. 55(12), pages 3355-3364, December.
    2. Xiaofeng Lv & Gupeng Zhang & Guangyu Ren, 2017. "Gini index estimation for lifetime data," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 23(2), pages 275-304, April.
    3. García, A., 2016. "Oaxaca-Blinder Type Counterfactual Decomposition Methods for Duration Outcomes," Documentos de Trabajo 14186, Universidad del Rosario.
    4. Xiaofeng Lv & Gupeng Zhang & Xinkuo Xu & Qinghai Li, 2019. "Weighted quantile regression for censored data with application to export duration data," Statistical Papers, Springer, vol. 60(4), pages 1161-1192, August.
    5. Wang, Huixia Judy & Wang, Lan, 2009. "Locally Weighted Censored Quantile Regression," Journal of the American Statistical Association, American Statistical Association, vol. 104(487), pages 1117-1128.

Articles

  1. Poiraud-Casanova, Sandrine & Thomas-Agnan, Christine, 2000. "About monotone regression quantiles," Statistics & Probability Letters, Elsevier, vol. 48(1), pages 101-104, May.

    Cited by:

    1. Bajgiran, Amirsaman H. & Mardikoraem, Mahsa & Soofi, Ehsan S., 2021. "Maximum entropy distributions with quantile information," European Journal of Operational Research, Elsevier, vol. 290(1), pages 196-209.
    2. Leopoldo Catania & Alessandra Luati & Pierluigi Vallarino, 2021. "Economic vulnerability is state dependent," CREATES Research Papers 2021-09, Department of Economics and Business Economics, Aarhus University.
    3. Tomasz Kozubowski & Saralees Nadarajah, 2010. "Multitude of Laplace distributions," Statistical Papers, Springer, vol. 51(1), pages 127-148, January.
    4. Samuel Kotz & Tomasz Kozubowski & Krzysztof Podgórski, 2002. "Maximum Likelihood Estimation of Asymmetric Laplace Parameters," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 54(4), pages 816-826, December.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (1) 2010-05-22

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