Statistical inference for a novel distribution using ranked set sampling with applications
HM Aljohani - Heliyon, 2024 - cell.com
Working on symmetrical or asymmetrical data is complicated since each requires a different
probability density function. Many statistical distributions can be used for these data types …
probability density function. Many statistical distributions can be used for these data types …
[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 …
[HTML][HTML] A new approach of generalized Rayleigh distribution with analysis of asymmetric data sets
I Alkhairy - Alexandria Engineering Journal, 2024 - Elsevier
Defining a probability model suitable for analyzing intricate and skewed real datasets holds
significant importance in statistics. Here In this study, a novel class of models using the …
significant importance in statistics. Here In this study, a novel class of models using the …
[HTML][HTML] On the applications of novel weighted exponentiated lomax model to fitting lifetime datasets
AS Alghamdi - Alexandria Engineering Journal, 2024 - Elsevier
The Lomax distribution is widely recognized in distributional theory and thoroughly applied
in many study fields, particularly in engineering and lifetime studies. Considering the …
in many study fields, particularly in engineering and lifetime studies. Considering the …
[HTML][HTML] Modeling insurance loss data using novel approach of moment exponential model: Inference, actuarial measures and application
Asymmetrical probability models are helpful for analyzing skewed data sets since they allow
you to describe the form of the distribution and anticipate the chance of extreme events. This …
you to describe the form of the distribution and anticipate the chance of extreme events. This …
[HTML][HTML] Bayesian and non Bayesian inference for extended two parameters model with application in financial and production fields
MH Alhelali, BSO Alsaedi - Alexandria Engineering Journal, 2024 - Elsevier
In statistical inference, introducing a probability distribution appropriate for modeling
complex, skewed and symmetric datasets plays an important role. This article presents a …
complex, skewed and symmetric datasets plays an important role. This article presents a …
[HTML][HTML] New Arctan-generator family of distributions with an example of Frechet distribution: Simulation and analysis to strength of glass and carbon fiber data
Since standard distributions do not fundamentally have an acceptable fit to all types of data
sets, it is necessary to construct extensions of standard distributions to increase their …
sets, it is necessary to construct extensions of standard distributions to increase their …
A Novel Three-Parameter Nadarajah Haghighi Model: Entropy Measures, Inference, and Applications
E Alshawarbeh, FM Alghamdi, MA Meraou… - Symmetry, 2024 - mdpi.com
The fitting and modeling of skewed, complex, symmetric, and asymmetric datasets is an
exciting research topic in many fields of applied sciences: notably, lifetime, medical, and …
exciting research topic in many fields of applied sciences: notably, lifetime, medical, and …
[HTML][HTML] A novel statistical approach to COVID-19 variability using the Weibull-Inverse Nadarajah Haghighi distribution
Researchers have devoted decades to striving to create a plethora of distinctive distributions
in order to meet specific objectives. The argument is that traditional distributions have …
in order to meet specific objectives. The argument is that traditional distributions have …
Analyzing Insurance Data with an Alpha Power Transformed Exponential Poisson Model
In this paper, we propose a new model by adding an additional parameter to the baseline
distributions for modeling claim and risk data used in actuarial and financial studies. The …
distributions for modeling claim and risk data used in actuarial and financial studies. The …