:: 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:   (18479 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]   (4129 Downloads)    
Type of Study: Research | Subject: Statistical Inference
Received: 2011/07/9 | Accepted: 2013/08/13

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Volume 3, Issue 2 (3-2010) Back to browse issues page