This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Bootstrap of kernel smoothing in nonlinear time series

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
J. Franke
J.-P. Kreiss
E. Mammen

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

Abstract

No abstract is available for this item.

Download Info
To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.

Publisher Info
Paper provided by Humboldt Universitaet Berlin in its series Sonderforschungsbereich 373 with number 1997-20.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation:
Date of revision:
Handle: RePEc:wop:humbsf:1997-20

Contact details of provider:
Postal: Spandauer Str. 1,10178 Berlin
Phone: +49-30-2093-5708
Fax: +49-30-2093-5617
Email:
Web page: http://sfb.wiwi.hu-berlin.de
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Thomas Krichel).

Related research
Keywords:

Cited by:
(explanations, 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. W. Härdle & J. Horowitz & J.-P. Kreiss, . "Bootstrap Methods For Time Series," Sonderforschungsbereich 373 2001-59, Humboldt Universitaet Berlin.
  2. Maria Parrella & Cosimo Vitale, 2007. "Bootstrap inference in local polynomial regression of time series," Statistical Methods and Applications, Springer, vol. 16(1), pages 117-139, June. [Downloadable!] (restricted)
  3. Juan Carlos Escanciano, 2005. "Goodness-of-fit Tests for Linear and Non-linear Time Series Models," Faculty Working Papers 02/05, School of Economics and Business Administration, University of Navarra. [Downloadable!]
    Other versions:
  4. Alicia Pérez Alonso & Juan Mora, 2008. "Specification Tests for the Distribution of Errors in Nonoarametric Regression: A Martingale Approach," Working Papers. Serie AD 2008-11, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie). [Downloadable!]
  5. Véronique Delouille & Rainer Sachs, 2005. "Estimation of nonlinear autoregressive models using design-adapted wavelets," Annals of the Institute of Statistical Mathematics, Springer, vol. 57(2), pages 235-253, June. [Downloadable!] (restricted)
  6. Juan Carlos Escanciano, 2004. "Model Checks Using Residual Marked Empirical Processes," Faculty Working Papers 13/04, School of Economics and Business Administration, University of Navarra. [Downloadable!]
  7. Juan Carlos Escanciano, 2006. "Joint Diagnostic Tests for Conditional Mean and Variance Specifications," Faculty Working Papers 02/06, School of Economics and Business Administration, University of Navarra. [Downloadable!]
  8. Gao, Jiti & Gijbels, Irene, 2005. "Bandwidth selection for nonparametric kernel testing," MPRA Paper 11982, University Library of Munich, Germany, revised Jun 2007. [Downloadable!]
  9. Efstathios Paparoditis & Dimitris Politis, 2000. "The Local Bootstrap for Kernel Estimators under General Dependence Conditions," Annals of the Institute of Statistical Mathematics, Springer, vol. 52(1), pages 139-159, March. [Downloadable!] (restricted)
Statistics
Access and download statistics

Did you know? RePEc also has a blog.

This page was last updated on 2009-12-9.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.