IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v42y2003i4p545-560.html
   My bibliography  Save this article

Computational aspects of nonparametric smoothing with illustrations from the sm library

Author

Listed:
  • Bowman, A. W.
  • Azzalini, A.

Abstract

No abstract is available for this item.

Suggested Citation

  • Bowman, A. W. & Azzalini, A., 2003. "Computational aspects of nonparametric smoothing with illustrations from the sm library," Computational Statistics & Data Analysis, Elsevier, vol. 42(4), pages 545-560, April.
    • Handle: RePEc:eee:csdana:v:42:y:2003:i:4:p:545-560
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-9473(02)00118-4
    Download Restriction: Full text for ScienceDirect subscribers only.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Adrian Bowman & Stuart Young, 1996. "Graphical Comparison of Nonparametric Curves," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 45(1), pages 83-98, March.
    2. A. W. Bowman & E. M. Wright, 2000. "Graphical Exploration of Covariate Effects on Survival Data Through Nonparametric Quantile Curves," Biometrics, The International Biometric Society, vol. 56(2), pages 563-570, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Degui & Simar, Léopold & Zelenyuk, Valentin, 2016. "Generalized nonparametric smoothing with mixed discrete and continuous data," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 424-444.
    2. Bowman, Adrian W. & Crujeiras, Rosa M., 2013. "Inference for variograms," Computational Statistics & Data Analysis, Elsevier, vol. 66(C), pages 19-31.
    3. Adrian W. Bowman & Marco Giannitrapani & E. Marian Scott, 2009. "Spatiotemporal smoothing and sulphur dioxide trends over Europe," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(5), pages 737-752, December.
    4. Elmar Plischke & Emanuele Borgonovo, 2020. "Fighting the Curse of Sparsity: Probabilistic Sensitivity Measures From Cumulative Distribution Functions," Risk Analysis, John Wiley & Sons, vol. 40(12), pages 2639-2660, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Diblasi, Angela & Bowman, Adrian, 1997. "Testing for constant variance in a linear model," Statistics & Probability Letters, Elsevier, vol. 33(1), pages 95-103, April.
    2. Giovanni C. Porzio, 2002. "A simulated band to check binary regression models," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1-2), pages 83-96.
    3. Lin, Wei & Kulasekera, K.B., 2010. "Testing the equality of linear single-index models," Journal of Multivariate Analysis, Elsevier, vol. 101(5), pages 1156-1167, May.
    4. A. W. Bowman & E. M. Wright, 2000. "Graphical Exploration of Covariate Effects on Survival Data Through Nonparametric Quantile Curves," Biometrics, The International Biometric Society, vol. 56(2), pages 563-570, June.
    5. Park, Cheolwoo & Kang, Kee-Hoon, 2008. "SiZer analysis for the comparison of regression curves," Computational Statistics & Data Analysis, Elsevier, vol. 52(8), pages 3954-3970, April.
    6. A. Diblasi & A. W. Bowman, 2001. "On the Use of the Variogram in Checking for Independence in Spatial Data," Biometrics, The International Biometric Society, vol. 57(1), pages 211-218, March.
    7. Crookston, Kevin A. & Mark Young, Timothy & Harper, David & Guess, Frank M., 2011. "Statistical reliability analyses of two wood plastic composite extrusion processes," Reliability Engineering and System Safety, Elsevier, vol. 96(1), pages 172-177.
    8. Bowman, Adrian W. & Crujeiras, Rosa M., 2013. "Inference for variograms," Computational Statistics & Data Analysis, Elsevier, vol. 66(C), pages 19-31.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:csdana:v:42:y:2003:i:4:p:545-560. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/csda .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.