Autor: |
Si-Won Kim, Ji-Hoon Hyun, Choongrak Kim, Wook-Jae Byun, Mi-Kyoung Son, Sung-Dong Lee |
Rok vydání: |
2012 |
Předmět: |
|
Zdroj: |
Korean Journal of Applied Statistics. 25:197-203 |
ISSN: |
1225-066X |
DOI: |
10.5351/kjas.2012.25.1.197 |
Popis: |
In fitting a regression model, we often encounter data sets which do not follow Gaussian distribution and/or do not have equal variance. In this case estimation of the conditional density of a response variable at a given design point is hardly solved by a standard least squares method. To solve this problem, we propose a simple method to estimate the distribution of the fitted vales under heteroscedasticity using the idea of quantile regression and the histogram techniques. Application of this method to a real data sets is given. |
Databáze: |
OpenAIRE |
Externí odkaz: |
|