Journal of Mathematical Problems, Equations and Statistics
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P-ISSN: 2709-9393, E-ISSN: 2709-9407

Journal of Mathematical Problems, Equations and Statistics


2022, Vol. 3, Issue 2, Part A
A technique to detect a discordant observation in Rainfall data of Shahid Veer Narayan Singh Dam (Kodar Reservior) of Mahasamund District of Chhattisgarh


Author(s): Vishakha Tiwari, Pratyasha Tripathi and Vishal Vincent Henry

Abstract: In this paper, work has been done for the technique to discordant observation in rainfall data of Shahid Veer Narayan Singh Dam (Kodar reservoir) of Mahasamund district of Chhattisgarh. It has been demonstrated that discordant observation can significantly mislead the analysis, which is particularly dangerous when discussing sensitive issues such as extreme rainfall. A few such methods for identifying discordant observations have been found. As a result, a new test statistic for detecting a discordant observation from the distribution is proposed here. Its efficiency in terms of the probability of detecting a discordant observation is obtained. Its efficiency is also being especially in comparison to a sample of maximum rainfall data of Shahid Veer Narayan Singh Dam (Kodar reservior) of Mahasamund District of Chhattisgarh.

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How to cite this article:
Vishakha Tiwari, Pratyasha Tripathi and Vishal Vincent Henry. A technique to detect a discordant observation in Rainfall data of Shahid Veer Narayan Singh Dam (Kodar Reservior) of Mahasamund District of Chhattisgarh. Journal of Mathematical Problems, Equations and Statistics. 2022; 3(2): 01-05.
Journal of Mathematical Problems, Equations and Statistics