Additional information is available for the following registered author(s):

• Frederic Udina

Download Info

To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Publisher Info

Article provided by Springer in its journal Test.

Volume (Year): 6 (1997)
Issue (Month): 2 (December)
Pages: 223-320
Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Handle: RePEc:spr:testjl:v:6:y:1997:i:2:p:223-320

Contact details of provider:
Web page: http://www.springerlink.com/link.asp?id=120411

Order Information:
Web: http://link.springer.de/orders.htm

For technical questions regarding this item, or to correct its listing, contact: (Christopher F Baum).

Related research

Keywords: Density estimation kernel estimate convergence smoothing factor minimum distance estimate asymptotic optimality simulation study 62G05

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

1. Wand, M. P. & Devroye, Luc, 1993. "How easy is a given density to estimate?," Computational Statistics & Data Analysis, Elsevier, vol. 16(3), pages 311-323, September. [Downloadable!] (restricted)
2. Daren Cline, 1990. "Optimal kernel estimation of densities," Annals of the Institute of Statistical Mathematics, Springer, vol. 42(2), pages 287-303, June. [Downloadable!] (restricted)
3. L. Yang & S. Marron, . "Iterated Transformation-Kernel Density Estimation," Sonderforschungsbereich 373 1997-6, Humboldt Universitaet Berlin.
4. L. Yang, . "Root-n Convergent Transformation-Kernel Density Estimation," Sonderforschungsbereich 373 1996-94, Humboldt Universitaet Berlin.
5. O. V. Lepskii & E. Mammen & V. G. Spokoiny, . "Optimal Spatial Adaptation to Inhomogeneous Smoothness: an Approach Based on Kernel Estimates with Variable Bandwidth Selectors," Sonderforschungsbereich 373 1995-3, Humboldt Universitaet Berlin.
6. 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. [Downloadable!] (restricted)
7. Park, B.U. & Turlach, B.A., 1992. "Practical Performance of Several Data Driven Bandwidth Selectors," Papers 9205, Catholique de Louvain - Center for Operations Research and Economics.
8. Marron, J. S., 1989. "Comments on a data based bandwidth selector," Computational Statistics & Data Analysis, Elsevier, vol. 8(2), pages 155-170, July. [Downloadable!] (restricted)
9. Marron, J S, 1988. "Automatic Smoothing Parameter Selection: A Survey," Empirical Economics, Springer, vol. 13(3/4), pages 187-208.

Did you know? Use the JEL tree to browse through the database by subfields.

This page was last updated on 2008-9-25.