Estimation of Tensile Strength of Carbon Fibers Using Exponentiated Exponential Weibull-Dagum Distribution Model (EEWD) and Its Properties
DOI:
https://doi.org/10.37256/cm.5420245123Keywords:
tensile strength, carbon fiber, dagum distribution, series expansion, moment generating function (MGF), cumulant generating function (CGF), stochastic ordering, skewness, kurtosisAbstract
The tensile strength of Carbon fibers was investigated. The ability of the tested EEWD distribution to fit the data was evaluated, and the skewness of the data was observed. The T-R{.} framework has been recently used to generalize various distributions, but the viability of using Dagum distribution has not been investigated. Three distributions are combined in the T-R{.}, with one serving as a baseline distribution. The combined potency of each distribution, which is a weighted hazard function of the baseline distribution, would have more parameters but would also be highly flexible in handling bimodality in datasets. Therefore, the quantile function of the Weibull distribution was used to generalize the Dagum distribution. In this present research work a novel generalized 6P (six parameter) model called Exponentiated Exponential Weibull Dagum Distribution (EEWD) has been introduced. The appropriate distributions including PDF, CDF, moments, Moment Generating Function (MGF) of EEWD distribution, stochastic ordering, Cumulant Generating Function (CGF) of EEWD distribution, mean, mean deviations and their sub-models have been derived. Furthermore, the EEWD model has been applied to admissible real-time data.
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Copyright (c) 2024 Vidya P, Parthiban S

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