Results 11 to 20 of about 64,647 (289)

Breaking down malaria outbreak: A multidisciplinary approach in a border village of French Guiana. [PDF]

PLoS Neglected Tropical Diseases
BackgroundIsolated areas of malaria transmission can persist in countries nearing malaria elimination. To tailor interventions accordingly, smaller-scale surveillance and a deeper understanding of local conditions are needed, including human ...
Hélène Tréhard, Guillaume Lacour, Emilie Mosnier, Amandine Guidez, Yanouk Epelboin, Yassamine Lazrek, Felix Djossou, Jean Gaudart, Isabelle Dusfour, Lise Musset   +9 more
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MTSC-Net: A Semi-Supervised Counting Network for Estimating the Number of Slash pine New Shoots [PDF]

Plant Phenomics
The new shoot density of slash pine serves as a vital indicator for assessing its growth and photosynthetic capacity, while the number of new shoots offers an intuitive reflection of this density. With deep learning methods becoming increasingly popular,
Zhaoxu Zhang, Yanjie Li, Yue Cao, Yu Wang, Xuchao Guo, Xia Hao   +5 more
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An Extension of the Truncated-Exponential Skew- Normal Distribution

Mathematics, 2021
In the paper, we present an extension of the truncated-exponential skew-normal (TESN) distribution. This distribution is defined as the quotient of two independent random variables whose distributions are the TESN distribution and the beta distribution ...
Pilar A. Rivera, Diego I. Gallardo, Osvaldo Venegas, Marcelo Bourguignon, Héctor W. Gómez   +4 more
doaj   +1 more source

The multivariate slash and skew-slash student t distributions [PDF]

Journal of Statistical Distributions and Applications, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tan, Fei, Tang, Yuanyuan, Peng, Hanxiang
openaire   +2 more sources

Slashed Lomax Distribution and Regression Model [PDF]

Symmetry, 2020
In this article, the slashed Lomax distribution is introduced, which is an asymmetric distribution and can be used for fitting thick-tailed datasets. Various properties are explored, such as the density function, hazard rate function, Renyi entropy, r-th moments, and the coefficients of the skewness and kurtosis.
Huihui Li, Weizhong Tian
openaire   +1 more source

A Heavy-Tailed Distribution Based on the Lomax–Rayleigh Distribution with Applications to Medical Data

Mathematics, 2023
In this paper, we extend the Lomax–Rayleigh distribution to increase its kurtosis. The construction of this distribution is based on the idea of the Slash distribution, that is, its representation is based on the quotient of two independent random ...
Karol I. Santoro, Diego I. Gallardo, Osvaldo Venegas, Isaac E. Cortés, Héctor W. Gómez   +4 more
doaj   +1 more source

Slashed Moment Exponential Distribution [PDF]

Journal of Statistical Theory and Applications, 2017
The problem of estimating the ratio of coefficients of variation of two independent lognormal populations is considered. We propose two closed-form approximate confidence intervals (CIs), one is based on the method of variance estimate recovery (MOVER), and another is based on the fiducial approach.
Yuri A. Iriarte, Juan M. Astorga, Osvaldo Venegas, Héctor W. Gómez   +3 more
openaire   +2 more sources

A Lindley-Type Distribution for Modeling High-Kurtosis Data

Mathematics, 2022
This article proposes a heavy-tailed distribution for modeling positive data. The proposal arises with the ratio of independent random variables, specifically, a Lindley distribution divided by a beta distribution.
Mario A. Rojas, Yuri A. Iriarte
doaj   +1 more source

Robust Mixture Regression Based on the Mixture of Slash Distributions

Journal of Statistical Theory and Applications (JSTA), 2020
The traditional estimation of Mixture regression models is based on the normal assumption of component errors and thus is sensitive to outliers and heavy-tailed errors.
Hadi Saboori, Ghobad Barmalzan, Mahdi Doostparast   +2 more
doaj   +1 more source

An α-Monotone Generalized Log-Moyal Distribution with Applications to Environmental Data

Mathematics, 2021
Modeling environmental data plays a crucial role in explaining environmental phenomena. In some cases, well-known distributions, e.g., Weibull, inverse Weibull, and Gumbel distributions, cannot model environmental events adequately.
Talha Arslan
doaj   +1 more source