Results 101 to 110 of about 3,471 (207)

Quantifying the climatic influence on Lassa fever incidences in six high-risk Nigerian states using multilinear regression and generalized additive models

Discover Public Health
Introduction Lassa fever, a viral hemorrhagic disease endemic to West Africa, presents significant public health challenges due to its environmental sensitivity and high mortality rate.
Ibiyinka Fuwape, Samuel Ogunjo, Funmilayo Erinfolami, Olugbenga Osunmakinwa, Opeyemi Ajanaku, Aderonke Akerele, Adetoun Akinlami, Joshua Akinsusi, Josephine Olayinka-Olagunju, Olayinka Asubiaro   +9 more
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Role of constrained modulus in predicting resilient modulus of RAP-included granular materials via ML and conventional methods

Results in Engineering
Conventional regression and modern machine learning (ML) models were developed and evaluated to estimate the resilient modulus (MR) of unbound granular materials.
Muhammad Arshad, Muhammad Zaka Emad
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Central limit theorems for weighted quadratic forms of dependent processes with applications in specification testing [PDF]

In this paper, we establish some new central limit theorems for generalized U-statistics of dependent processes under some mild conditions. Such central limit theorems complement existing existing results available from both the econometrics literature ...
Gao, Jiti, Hong, Yongmiao
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Comparative study of oil palm productivity estimation models: multilinear regression and holt-winters approach

IOP Conference Series: Earth and Environmental Science
Abstract Oil palm plays a crucial role in Indonesia’s economy through the increased production and export of oil palm. However, managing and predicting productivity in expanding oil palm plantations presents significant challenges. Current estimation methods are resource-intensive and time-consuming.
I K Sari, null Liyantono, M Solahudin
openaire   +1 more source

Mean Volatility Regressions [PDF]

Motivated by increment process modeling for two correlated random and non-random systems from a discrete-time asset pricing with both risk free asset and risky security, we propose a class of semiparametric regressions for a combination of a non-random ...
Lixing Zhu, Wolfgang Karl Härdle, Lu Lin, Feng Li   +3 more
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Cu2+ removal from synthetic wastewater using amine-modified bentonites: Kinetics and thermodynamic study based on multilinear regression (MLR) modeling [PDF]

Background: Water pollution due to heavy metals such as Cu(II) has become a public concern in developing world. This article studies the adsorption of Cu2+ ions from aqueous solutions on aminated bentonites of the Kongyrtog mine (Uzbekistan).
Eshmetov, Rasulbek, Batool, Fatima, AbdulKareem-Alsultan, G., Khandamov, Davron, Kurniawan, Tonni Agustiono, Nurullaev, Shavkat, Bekmirzayev, Akbarbek, Babakhanova, Zebo   +7 more
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Sustainable Polyurethane-Based Polymer Concrete: Mechanical and Non-destructive Properties with Machine Learning Technique

International Journal of Concrete Structures and Materials
Polyurethane-based polymer concrete (PUC) has become a popular material for pavement repair. However, its compressive strength (f c) is essential to achieve effective repair work.
S. I. Haruna, Han Zhu, Yasser E. Ibrahim, Jian Yang, AIB Farouk, Jianwen Shao, Musa Adamu, Omar Shabbir Ahmed   +7 more
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Weeks-Ahead Epidemiological Predictions of Varicella Cases From Univariate Time Series Data Applying Artificial Intelligence

Infectious Diseases & Immunity
. Background. “Chickenpox” is a highly infectious disease caused by the varicella-zoster virus, influenced by seasonal and spatial factors. Dealing with varicella-zoster epidemics can be a substantial drain on health-authority resources.
David A. Wood, Haijuan Wang
doaj   +1 more source

SAEB/2003: Analysis of results in Cearà state using multilinear regression [PDF]

, 2007
O presente estudo teve como objetivo identificar nos resultados do SAEB/2003, no CearÃ, um modelo multilinear com variÃveis que garantam o maior grau de explicaÃÃo do rendimento em matemÃtica nos testes aplicados nas amostras de 4Â sÃrie da escola ...
Nicolino Trompieri Filho
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Bayes linear covariance matrix adjustment [PDF]

, 1995
In this thesis, a Bayes linear methodology for the adjustment of covariance matrices is presented and discussed. A geometric framework for quantifying uncertainties about covariance matrices is set up, and an inner-product for spaces of random matrices ...
Wilkinson, Darren James
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