Results 1 to 10 of about 173 (151)
New bivariate family of distributions based on any copula function: Statistical properties [PDF]
Heliyon, 2023 In this paper, new bivariate family of distributions based on any copula is established. Of this, we introduce new bivariate Topp-Leone family based on Farlie-Gumbel-Morgenstern (FGM) copula.
Ali A. Al-Shomrani
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Bivariate power Lomax distribution with medical applications. [PDF]
PLoS ONE, 2023 In this paper, a bivariate power Lomax distribution based on Farlie-Gumbel-Morgenstern (FGM) copulas and univariate power Lomax distribution is proposed, which is referred to as BFGMPLx.
Maha E Qura +3 more
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Dependent conditional value-at-risk for aggregate risk models [PDF]
Heliyon, 2021 Risk measure forecast and model have been developed in order to not only provide better forecast but also preserve its (empirical) property especially coherent property. Whilst the widely used risk measure of Value-at-Risk (VaR) has shown its performance
Bony Parulian Josaphat, Khreshna Syuhada
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A New Family of Continuous Probability Distributions [PDF]
Entropy, 2021 In this paper, a new parametric compound G family of continuous probability distributions called the Poisson generalized exponential G (PGEG) family is derived and studied. Relevant mathematical properties are derived. Some new bivariate G families using
M. El-Morshedy +4 more
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Stats, 2023 In this research, we design the Farlie–Gumbel–Morgenstern bivariate moment exponential distribution, a bivariate analogue of the moment exponential distribution, using the Farlie–Gumbel–Morgenstern approach.
Sasikumar Padmini Arun +3 more
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Journal of Nigerian Society of Physical Sciences, 2023 An important alternative distribution to the Weibull, generalized exponen- tial and gamma distributions that is used in survival analysis is the Nadarajah- Haghighi exponential distribution.
Yakubu Aliyu, Umar Usman
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Computer Sciences & Mathematics Forum, 2023 The goal of the present work is to estimate the nonlinear correlation between two random variables when the sample is drawn from a Farlie–Gumbel–Morgenstern (FGM)-type bivariate gamma distribution. In the context of estimating the dependence parameter, a
Yusuf Can Sevil, Tugba Ozkal Yildiz
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Pakistan Journal of Statistics and Operation Research, 2023 In this article, we address the problem of estimating the parameters of Farlie-Gumbel-Morgenstern bivariate Weibull distribution using ranked set sample (RSS) design. The suggested estimators of the FGMBW distribution parameters are compared with their counterparts based on simple random sampling (SRS) via Monte Carlo simulations studies. An example of
Ahmad Hanandeh, Amer Ibrahim Al-Omari
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Journal of Modern Applied Statistical MethodsThis study develops a novel bivariate odd Rayleigh-exponential distribution (OR-ED), constructed using the Farlie-Gumbel-Morgenstern (FGM) copula to model dependence between lifetime data. Three estimation methods: maximum likelihood estimation (MLE), inference functions for margins (IFM), and canonical maximum likelihood (CML) are employed to evaluate
Abubakar Usman, Musa Tasi'U
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Univariate and Bivariate Alpha-Power Transformed Lomax Distribution: Properties and Application [PDF]
المجلة العلمية للدراسات والبحوث المالية والتجارية, 2022 A new method for adding parameters to a well-established distribution to obtain more flexible new families of distributions is applied to Lomax distribution (LD).
yasser Anmer +2 more
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