DETECTING OUTLIERS IN NORMAL DATA USING MODIFIED Z-SCORES

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AHMADI M.V.; SARMAD M.

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Paper Information

Journal: JOURNAL OF STATISTICAL SCIENCES Year:2010 | Volume:3 | Issue:2 Page(s): 119-139

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Information Journal Paper

Title

DETECTING OUTLIERS IN NORMAL DATA USING MODIFIED Z-SCORES

Author(s)

AHMADI M.V. | SARMAD M. | Issue Writer Certificate

Keywords

BADNESSQ3

SLASH DISTRIBUTIONQ3

Z-SCOREQ3

MODIFIED Z-SCOREQ3

Abstract

Because of importance and popularity of the Normal distribution, the samples based on this distribution has been considered and the outliers are identified using cut-off values which are dependent on the sample size. A decision problem has been structured to obtain the optimal cut-off value. The problem is solved by a simulation study with a minimax rule.

Cites

PORTFOLIO OPTIMIZATION MODEL TO OPTIMIZE THE PERFORMANCES OF CLASSICAL FORECASTING STABLE PORTFOLIO RISK AND RETURN

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APA: Copy

AHMADI, M.V., & SARMAD, M.. (2010). DETECTING OUTLIERS IN NORMAL DATA USING MODIFIED Z-SCORES. JOURNAL OF STATISTICAL SCIENCES, 3(2), 119-139. SID. https://sid.ir/paper/124071/en

Vancouver: Copy

AHMADI M.V., SARMAD M.. DETECTING OUTLIERS IN NORMAL DATA USING MODIFIED Z-SCORES. JOURNAL OF STATISTICAL SCIENCES[Internet]. 2010;3(2):119-139. Available from: https://sid.ir/paper/124071/en

IEEE: Copy

M.V. AHMADI, and M. SARMAD, “DETECTING OUTLIERS IN NORMAL DATA USING MODIFIED Z-SCORES,” JOURNAL OF STATISTICAL SCIENCES, vol. 3, no. 2, pp. 119–139, 2010, [Online]. Available: https://sid.ir/paper/124071/en

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