This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Is The Sample Coefficient Of Variation A Good Estimator For The Population Coefficient Of Variation?

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Mahmoudvand, Rahim
Hassani, Hossein
Wilson, Rob

Additional information is available for the following registered author(s):

Abstract

In this paper, we obtain bounds for the population coefficient of variation (CV) in Bernoulli, Discrete Uniform, Normal and Exponential distributions. We also show that the sample coefficient of variation (cv) is not an accurate estimator of the population CV in the above indicated distributions. Finally we provide some suggestions based on the Maximum Likelihood Estimation to improve the population CV estimate.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://mpra.ub.uni-muenchen.de/6106/
File Format:
File Function:
Download Restriction: no

Publisher Info
Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 6106.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: 07 Sep 2007
Date of revision: 2007
Publication status: Published in World Applied Sciences Journal 5.2(2007): pp. 519-522
Handle: RePEc:pra:mprapa:6106

Contact details of provider:
Postal: Schackstr. 4, D-80539 Munich, Germany
Phone: +49-(0)89-2180-2219
Fax: +49-(0)89-2180-3900
Web page: http://mpra.ub.uni-muenchen.de
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Ekkehart Schlicht).

Related research
Keywords: Coefficient of Variation (CV); Estimator; Maximum Likelihood Estimation (MLE).;

Find related papers by JEL classification:
C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation
C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
C60 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - General

This paper has been announced in the following NEP Reports:

Statistics
Access and download statistics

Did you know? You too can volunteer for RePEc, for example by providing information about publications in your institution.

This page was last updated on 2009-12-22.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.