DocumentCode
525796
Title
Notice of Retraction
Some new ratio estimators using coefficient of variation and Kurtosis of auxiliary variate
Author
Jingli Lu ; Zaizai Yan ; Changjiang Ding ; Zhimin Hong
Author_Institution
Coll. of Sci., Inner Mongolia Univ. of Technol., Hohhot, China
Volume
3
fYear
2010
fDate
12-13 June 2010
Firstpage
132
Lastpage
135
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
We propose some ratio estimators of a finite population mean using auxiliary variable and obtain mean square error (MSE) equations for all proposed estimators. We find theoretical conditions that make each proposed estimator more efficient than the traditional ratio estimators. In addition, we support these theoretical results with the aid of a numerical example.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
We propose some ratio estimators of a finite population mean using auxiliary variable and obtain mean square error (MSE) equations for all proposed estimators. We find theoretical conditions that make each proposed estimator more efficient than the traditional ratio estimators. In addition, we support these theoretical results with the aid of a numerical example.
Keywords
mean square error methods; statistical analysis; auxiliary variate kurtosis; finite population mean; mean square error equations; ratio estimation; variation coefficient; Auxiliary variable; Efficiency; Mean square error; Ratio estimator;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Communication Technologies in Agriculture Engineering (CCTAE), 2010 International Conference On
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6944-4
Type
conf
DOI
10.1109/CCTAE.2010.5543406
Filename
5543406
Link To Document