2023
DOI: 10.3390/sym15071458
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A Transmuted Modified Power-Generated Family of Distributions with Practice on Submodels in Insurance and Reliability

Abstract: In this article, we propose a new transmuted modified power-generalized family of distributions constructed from the transmuted-generated and modified power-generated families. The proposed approach is flexible and provides a tradeoff between the two baseline families. For a prime study, we identify the main characteristics of the new transmuted modified power family, such as the asymptotic results, quantile function, series representation, and the various kinds of moment measures. By using the exponential dis… Show more

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Cited by 5 publications
(1 citation statement)
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“…This involves modifying a baseline distribution by substituting it into the families of distributions. Some families of distributions developed include Kumaraswamy-G (Kw-G) [1], Zubair-G family [2], Sin-G [3,4], Cos-G [3,4], Tan-G [3], extended odd Fréchet-G family [5], arcsine exponentiated-X family [6], tangent Topp-Leone-G [7], Marshall-Olkin Zubair-G [8], secant-G class (Sec-G) [9], new cotangent-G [10], cosine Topp-Leone-G [11], weighted cosine-G [12], transmuted modified power-generated family [13], modified-half normal family [14], and logistic cotangent exponentiated generalized family [15].…”
Section: Introductionmentioning
confidence: 99%
“…This involves modifying a baseline distribution by substituting it into the families of distributions. Some families of distributions developed include Kumaraswamy-G (Kw-G) [1], Zubair-G family [2], Sin-G [3,4], Cos-G [3,4], Tan-G [3], extended odd Fréchet-G family [5], arcsine exponentiated-X family [6], tangent Topp-Leone-G [7], Marshall-Olkin Zubair-G [8], secant-G class (Sec-G) [9], new cotangent-G [10], cosine Topp-Leone-G [11], weighted cosine-G [12], transmuted modified power-generated family [13], modified-half normal family [14], and logistic cotangent exponentiated generalized family [15].…”
Section: Introductionmentioning
confidence: 99%