Right Truncated of mixed Komal-Weibull Distribution with properties

2024

Full text Open access: Gold Metadata (CSL-JSON)
DOI 10.33095/xg2pbe86
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

Purpose: Truncated distributions occur in many practical situations and predict real phenomena. Theoretical framework: this paper proposed a right-truncated mixed Komal-Weibull distribution on [0,1] with three parameters, and derived some of its properties. approach: To show the ability and behavior of this distribution, some mathematical properties are given, such as the likelihood distribution function, the cumulative distribution function, the reliability function, the hazard function, the properties of the kth moments, the variance, skewness, and kurtosis coefficients, the moment generating function and the distribution of order statistics. In addition, the maximum likelihood estimate is derived. Findings: the new distribution is flexible with the three parameters. Research, Practical & Social Implications: The new distribution has social implications, significant research, and practical. It enhances the ability to model and analyze truncated data accurately. Originality: The right-truncated mixed Komal-Weibull distribution can be used in various fields such as agriculture, medicine, engineering, and physics.