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:: Volume 3, Issue 2 (3-2010) ::
J. of Stat. Sci. 2010, 3(2): 197-207 Back to browse issues page
Estimstion of Density Function in the Presence of Outliers
Abbas Mahdavi , Mina Towhidi
Abstract:   (17553 Views)
One of the most important issues in inferential statistics is the existence of outlier observations. Since these observations have a great influence on fitted model and its related inferences, it is necessary to find a method for specifying the effect of outlier observations. The aim of this article is to investigate the effect of outlier observations on kernel density function estimation. In this article we have tried to represent a method for identification of outlier observations and their effect on kernel density function estimation by using forward search method
Keywords: Kernel Density Function Estimation, Forward Search Method, Smoothing Parameter
Full-Text [PDF 393 kb]   (4049 Downloads)    
Type of Study: Research | Subject: Statistical Inference
Received: 2011/07/9 | Accepted: 2013/08/13
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Mahdavi A, Towhidi M. Estimstion of Density Function in the Presence of Outliers. J. of Stat. Sci.. 2010; 3 (2) :197-207
URL: http://jss.irstat.ir/article-1-36-en.html


Volume 3, Issue 2 (3-2010) Back to browse issues page
مجله علوم آماری – نشریه علمی پژوهشی انجمن آمار ایران Journal of Statistical Sciences
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