A novel test statistic for right censored validity under a new Chen extension with applications in reliability and medicine
A new modified version of the Bagdonavičius and Nikulin goodness-of-fit statistical test is
presented and investigated for validity under the exponentiated Rayleigh generalized Chen …
presented and investigated for validity under the exponentiated Rayleigh generalized Chen …
A new compound lomax model: properties, copulas, modeling and risk analysis utilizing the negatively skewed insurance claims data
Analyzing the future values of anticipated claims is essential in order for insurance
companies to avoid major losses caused by prospective future claims. This study proposes a …
companies to avoid major losses caused by prospective future claims. This study proposes a …
A new extreme value model with different copula, statistical properties and applications
H Elgohari, HM Yousof - Pakistan Journal of Statistics and Operation …, 2021 - pjsor.com
In this article, we defined and studied a new distribution for modeling extreme value. Some
of its mathematical properties are derived and analyzed. Simple types copula is employed …
of its mathematical properties are derived and analyzed. Simple types copula is employed …
[HTML][HTML] Bayesian and non-Bayesian inference for the compound Poisson log-normal model with application in finance
MA Almuqrin - Alexandria Engineering Journal, 2024 - Elsevier
In this article, we described a novel class of distributions that can be analyzed in complex
and skewed real data sets. We called the proposed distribution as compound Poisson log …
and skewed real data sets. We called the proposed distribution as compound Poisson log …
Evaluation of surface subsidence due to inclined coal seam mining: A case study in the 1930 Coal Mine, China
B Zhang, Y Liang, Q Zou, Z Chen, F Kong… - Natural Resources …, 2022 - Springer
The characteristics of overlying strata movement and the evolution of surface subsidence-
related parameters are essential in preventing geological hazards and environmental …
related parameters are essential in preventing geological hazards and environmental …
[HTML][HTML] Asymmetric density for risk claim-size data: prediction and bimodal data applications
M Shrahili, I Elbatal, H M. Yousof - Symmetry, 2021 - mdpi.com
A new, flexible claim-size Chen density is derived for modeling asymmetric data (negative
and positive) with different types of kurtosis (leptokurtic, mesokurtic and platykurtic). The new …
and positive) with different types of kurtosis (leptokurtic, mesokurtic and platykurtic). The new …
A New Probability Heavy‐Tail Model for Stochastic Modeling under Engineering Data
The main aim of the paper is to propose and study a new heavy‐tail model for stochastic
modeling under engineering data. After studying and analyzing its mathematical properties …
modeling under engineering data. After studying and analyzing its mathematical properties …
A new flexible probability model: theory, estimation and modeling bimodal left skewed data
In this work, we introduced a new three-parameter Nadarajah-Haghighi model. We derived
explicit expressions for some of it statistical properties. The Farlie Gumbel Morgenstern …
explicit expressions for some of it statistical properties. The Farlie Gumbel Morgenstern …
A novel Chen extension: Theory, characterizations and different estimation methods
HM Yousof, MC Korkmaz, GG Hamedani… - European Journal of …, 2022 - adac.ee
In this work, we derive a novel extension of Chen distribution. Some statistical properties of
the new model are derived. Numerical analysis for mean, variance, skewness and kurtosis is …
the new model are derived. Numerical analysis for mean, variance, skewness and kurtosis is …
The Double Burr Type XII Model: Censored and Uncensored Validation Using a New Nikulin-Rao-Robson Goodness-of-Fit Test with Bayesian and Non-Bayesian …
After studying the mathematical properties of the Double Burr XII model, we present
Bayesian and non-Bayesian estimation for its unknown parameters. Also, we constructed a …
Bayesian and non-Bayesian estimation for its unknown parameters. Also, we constructed a …