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! ]

Model Estimation in Nonlinear Regression

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Engel, J
Kneip, A
Abstract

Given data from a sample of noisy curves in a nonlinear parametric regression model we consider nonparametric estimation of the model function and the parameters under certain structural assumptions. An algorithm for a consistent estimator is proposed and examples given.

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 Catholique de Louvain - Institut de statistique in its series Papers with number 9510.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 9 pages
Date of creation: 1995
Date of revision:
Handle: RePEc:fth:louvis:9510

Contact details of provider:
Postal: Universite Catholique de Louvain, Institut de Statistique, Voie du Roman Pays, 34 B-1348 Louvain- La-Neuve, Belgique.

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

Related research
Keywords: STATISTICS; EVALUATION;

Find related papers by JEL classification:
C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation

Statistics
Access and download statistics

Did you know? All bibliographic data on IDEAS has been put in the public domain by the publishers.

This page was last updated on 2009-12-16.

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.