Published On December 5, 2023
Journal Issue LJRS Volume 23 Issue 19

Outlier Detection Procedures in a Sample from a Gumbel Distribution with Unknown Scale Parameter

Dr. Pratyasha Tripathi
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Research ID 750GC

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Abstract

Lalitha and Tripathi (2018) have suggested a test statistic for the detection of a pair of outliers in a sample from a Gumbel distribution with known scale parameter σ. The statistic is not found to be suitable while dealing with the case of unknown scale parameter σ. Thus, in this paper, the test statistic suggested by Lalitha and Tripathi (2018), is suitably modified by using the modified moment estimator of the scale parameter σ for the detection of two single (upper/lower) outlying observations and one more test statistic is suggested for the detection of a pair of outlying observations. Their critical values and performance probabilities are obtained at different levels of significance by a simulation technique.

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Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

Not applicable

Data Availability

The datasets used in this study are openly available at [repository link] and the source code is available on GitHub at [GitHub link].

Funding

This work did not receive any external funding.

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  • Classification

    LCC Code: QA273.6

  • Version of record

    v1.0

  • Issue date

    05 December 2023

  • Language

    en

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