Title :
A proposal method for selecting smoothing parameter with missing values
Author :
Al-Kazaz, Q.N.N. ; Aldahham, M.Y.
Author_Institution :
Dept. of Stat., Univ. of Baghdad, Baghdad, Iraq
Abstract :
In this paper we proposed a new method for selecting a smoothing parameter in kernel estimator to estimate a nonparametric regression function in the presence of missing values. The proposed method is based on work on the golden ratio and Surah AL-E-Imran in the Qur´an. Simulation experiments were conducted to study a small sample behavior. The results proved the superiority the proposed on the competition method for selecting smoothing parameter.
Keywords :
regression analysis; Qur´an; Surah AL-E-Imran; golden ratio; kernel estimator; missing values; nonparametric regression function; smoothing parameter selection; Bandwidth; Cities and towns; Data models; Humans; Kernel; Mathematical model; Smoothing methods; Golden ratio; MCAR; Nadaraya-Watson; Smoothing parameter; missing values;
Conference_Titel :
Statistics in Science, Business, and Engineering (ICSSBE), 2012 International Conference on
Conference_Location :
Langkawi
Print_ISBN :
978-1-4673-1581-4
DOI :
10.1109/ICSSBE.2012.6396595
