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Cites:

Information Journal Paper

Title

ESTIMATION OF DENSITY FUNCTION IN THE PRESENCE OF OUTLIERS

Pages

  199-209

Abstract

 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.

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  • Cite

    APA: Copy

    MAHDAVI, A., & TOWHIDI, M.. (2010). ESTIMATION OF DENSITY FUNCTION IN THE PRESENCE OF OUTLIERS. JOURNAL OF STATISTICAL SCIENCES, 3(2), 199-209. SID. https://sid.ir/paper/124072/en

    Vancouver: Copy

    MAHDAVI A., TOWHIDI M.. ESTIMATION OF DENSITY FUNCTION IN THE PRESENCE OF OUTLIERS. JOURNAL OF STATISTICAL SCIENCES[Internet]. 2010;3(2):199-209. Available from: https://sid.ir/paper/124072/en

    IEEE: Copy

    A. MAHDAVI, and M. TOWHIDI, “ESTIMATION OF DENSITY FUNCTION IN THE PRESENCE OF OUTLIERS,” JOURNAL OF STATISTICAL SCIENCES, vol. 3, no. 2, pp. 199–209, 2010, [Online]. Available: https://sid.ir/paper/124072/en

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