DocumentCode
2746914
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
fYear
2012
fDate
10-12 Sept. 2012
Firstpage
1
Lastpage
5
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistics in Science, Business, and Engineering (ICSSBE), 2012 International Conference on
Conference_Location
Langkawi
Print_ISBN
978-1-4673-1581-4
Type
conf
DOI
10.1109/ICSSBE.2012.6396595
Filename
6396595
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