57 Result(s)
within
Christophe Chesneau
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Article
Development of an efficient bounded distribution with application to practical data
Creating probability distributions with bounded support is crucial for accurately modeling and analyzing situations where outcomes naturally fall within a specific range. By acknowledging these constraints, st...
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Article
Learning CHARME models with neural networks
In this paper, we consider a model called CHARME (Conditional Heteroscedastic Autoregressive Mixture of Experts), a class of generalized mixture of nonlinear (non)parametric AR-ARCH time series. The main objec...
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Article
Order Statistics and Record Values Moments from the Topp-Leone Lomax Distribution with Applications to Entropy
In this paper, we derive the exact expressions, as well as recurrence relations, for the single and product moments of the order statistics (OSs) and record values of the Topp-Leone Lomax (TLLo) distribution p...
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Article
On the Construction of a Semiparametric Family of Bivariate Copulas Using the Opposite Diagonal Section of Copulas
In this article, a new semiparametric family of bivariate copulas is proposed and studied. The copulas of this family innovate in their construction; they are based on an original univariate generating functio...
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Article
Machine Learning-Based Analysis of Academic Performance Determinants in Somaliland: Insights from the 2021/2022 National Secondary School Exams
This study employs machine learning algorithms to predict the determinants of students’ academic performance in Somaliland using data from the 2021/2022 academic year. The educational landscape in Somaliland i...
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Article
Open AccessMachine learning study using 2020 SDHS data to determine poverty determinants in Somalia
Extensive research has been conducted on poverty in develo** countries using conventional regression analysis, which has limited prediction capability. This study aims to address this gap by applying advance...
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Article
A new three-parameter lifetime distribution for environmental data analysis: the Harris extended modified Lindley distribution
Statistical modeling data is crucial for identifying patterns, correlations, and trends that can be used to make informed decisions and put sustainable management practices into practice for the preservation o...
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Article
Exploring hybrid models for forecasting \(CO_2\) emissions in drought-prone Somalia: a comparative analysis
Climate change poses significant challenges globally, demanding accurate forecasting methodologies to comprehend and address its consequences. This paper presents a comparative analysis of hybrid models for fo...
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Article
The gamma power half-logistic distribution: theory and applications
In this paper, we propose a new three-parameter distribution defined on the positive real line, called the gamma power half-logistic distribution. It constitutes an extension of the power half-logistic distrib...
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Article
On the Gumbel–Barnett extended Celebioglu–Cuadras copula
A copula is a multivariate probability distribution function used to describe the dependence structure between random variables, independent of their marginal distributions. Among the numerous proposed copulas...
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Article
The Sine Modified Power-Generated Family of Distributions with Application to Practical Data and Ruin Probability
In the past ten years, trigonometric-type distributions have drawn a lot of attention due to their excellent capacity to assess a wide range of data types thanks to their oscillatory characteristics. In this a...
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Article
A General Weighted Exponentiated Family of Distributions with Application to Carbon Fiber and Petroleum Rock Data
On the basis of power and exponential transformations, an original family of distributions is created and studied. Thanks to two tuning parameters, it has the capacity to generalize a few of the present famili...
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Article
A new generalization of the zero-truncated negative binomial distribution by a Lagrange expansion with associated regression model and applications
In this paper, we propose a new generalization of the zero-truncated negative binomial distribution using the Lagrange expansion of the second kind, which we call the Lagrangian zero-truncated negative binomia...
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Article
Theory and practice of a bivariate trigonometric Burr XII distribution
The precise modeling of bivariate continuous characteristics remains an actual challenge in probability and statistics. In this paper, we explore a new strategy based on the combination of a simple polynomial-...
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Article
Wavelet Optimal Estimations for a Multivariate Probability Density Function Under Weighted Distribution
The purpose of this paper is the pointwise estimation of a multivariate probability density function with weighted distribution using wavelet methods. New theoretical contributions are provided; Point-wise con...
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Chapter and Conference Paper
On an Alternative Trigonometric Strategy for Statistical Modeling
The probabilistic concept of distribution plays a central role in the development of statistical models. There is a wide variety of distributions, defined by diverse mathematical functions. Despite evidence of...
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Article
A new truncated (0, b)-F family of lifetime distributions with an extensive study to a submodel and reliability data
In this paper, a new truncated (0, b)-F family of lifetime distributions is introduced. Its main interest is to provide simple and flexible probability density functions with a bounded support without introducing...
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Article
A new bounding technique based on infinite product decomposition
In this note, a new strategy is proposed to obtain bounds for functions having product decompositions. Applications are given for trigonometric and hyperbolic functions, thus improving some existing inequaliti...
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Article
Non-linear magnetoconvection in a bidispersive porous layer: a brinkman model
This study examines the magnetic effect on Darcy Brinkman convection in a Bidispersive horizontal porous layer, considering the importance of convective motions of electrically conducting porous media accompan...
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Article
An Alternative to the Marshall-Olkin Family of Distributions: Bootstrap, Regression and Applications
This paper introduces a new rich family of distributions based on mixtures and the so-called Marshall-Olkin family of distributions. It includes a wide variety of well-established mixture distributions, ensuri...
