[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
:: 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:   (21948 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]   (4620 Downloads)    
Type of Study: Research | Subject: Statistical Inference
Received: 2011/07/9 | Accepted: 2013/08/13 | Published: 2020/02/18
Add your comments about this article
Your username or Email:


XML   Persian Abstract   Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

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
Persian site map - English site map - Created in 0.04 seconds with 30 queries by YEKTAWEB 4284