Robust Kernel Density Function Estimation
The classical kernel density estimation technique is the commonly used method to estimate the density function. It is now evident that the accuracy of such density function estimation technique is easily affected by outliers. To remedy this problem, Kim and Scott (2008) proposed an Iteratively Re-we...
Saved in:
主要作者: | Dadkhah, Kourosh |
---|---|
格式: | Thesis |
語言: | English English |
出版: |
2010
|
主題: | |
在線閱讀: | http://psasir.upm.edu.my/id/eprint/19686/1/IPM_2010_7_F.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Robust outlier detection and estimation in response surface methodology
由: Mustafa, Mohd Shafie
出版: (2015) -
Robust Estimation Methods and Robust Multicollinearity Diagnostics for Multiple Regression Model in the Presence of High Leverage Collinearity-Influential Observations
由: Bagheri, Arezoo
出版: (2011) -
Robust diagnostic and robust estimation methods for fixed effect panel data model in presence of high leverage points and multicollinearity
由: Ismaeel, Shelan Saied
出版: (2017) -
Dual response surface and robust design optimization based on penalty function method
由: Baba, Ishaq Abdullahi
出版: (2015) -
Robust Estimation Methods And Outlier Detection In Mediation Models
由: Fitrianto, Anwar
出版: (2010)