|
| << previous | next >> |
Journal description
All volumes of the corresponding journal
All issues of the corresponding volume
All articles of the corresponding issues
Details for article 12 of 190 found articles
| Title: |
A Monte Carlo comparison of parametric and nonparametric quantile regressions |
| Author: |
Min, Insik Kim, Inchul |
| Appeared in: |
Applied economics letters |
| Paging: | Volume 11 (2004) nr. 2 pages 71-74 |
| Year: |
2004-02-10 |
| Contents: |
This study compares parametric and nonparametric quantile regression methods using Monte Carlo simulations. Simulation results indicate that the nonparametric quantile regression approach is more appropriate, particularly when the underlying model is nonlinear or the error term follows a non-normal distribution. |
| Publisher: |
Routledge |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 12 of 190 found articles
| << previous | next >> |