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Analysis of Neutrosophic Multiple Regression [PDF]
Neutrosophic Sets and Systems, 2021 The idea of Neutrosophic statistics is utilized for the analysis of the uncertainty observation data. Neutrosophic multiple regression is one of a vital roles in the analysis of the impact between the dependent and independent variables. The Neutrosophic
D. Nagarajan +3 more
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Regression Analysis of Stock Returns By Filtering with Simple Moving Averages [PDF]
International Journal of Social Sciences & Educational Studies, 2017 Stock market prices are affected by industry performance, company news, and world news, political and economic changes. News from company and news about world events play an important role in the direction of stock markets.
Ahmet Sekreter
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Regression analysis of expanded polystyrene properties [PDF]
Mathematics in Education, Research and Applications, 2020 Own measurements examine the tensile strength of expanded polystyrene (EPS) depending on its bulk density. 30 samples were used to calculate the correlation coefficients between these two properties.
Dušan Páleš, Milada Balková
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Rheumatology, 2023 Introduction Lyme borreliosis (LB) is a multisystemic zoonotic disease transmitted by the bite of infected tick vectors. The aim of the study is to develop a mathematical model for predicting the risk of severity of Lyme disease by the risk factor of ...
Svetlana oleksiivna Nykytyuk +4 more
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Missing Data Analysis in Regression
Applied Artificial Intelligence, 2022 Many of the datasets in real-world applications contain incompleteness. In this paper, we approach the effects and possible solutions to incomplete databases in regression, aiming to bridge a gap between theoretically effective algorithms.
C. G. Marcelino +3 more
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R-environment package for regression analysis [PDF]
Pesquisa Agropecuária Brasileira, 2018 : The objective of this work was to develop a package in the R environment for automating and facilitating the regression analysis. Named easyreg, the package offers five functions.
Emmanuel Arnhold
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Linear regression analysis study
Journal of the Practice of Cardiovascular Sciences, 2018 Linear regression is a statistical procedure for calculating the value of a dependent variable from an independent variable. Linear regression measures the association between two variables.
Khushbu Kumari, Suniti Yadav
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Regression analysis with categorized regression calibrated exposure: some interesting findings
Emerging Themes in Epidemiology, 2006 Background Regression calibration as a method for handling measurement error is becoming increasingly well-known and used in epidemiologic research. However, the standard version of the method is not appropriate for exposure analyzed on a categorical (e ...
Hjartåker Anette +4 more
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Noncollapsibility and its role in quantifying confounding bias in logistic regression
BMC Medical Research Methodology, 2021 Background Confounding bias is a common concern in epidemiological research. Its presence is often determined by comparing exposure effects between univariable- and multivariable regression models, using an arbitrary threshold of a 10% difference to ...
Noah A. Schuster +4 more
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Regression analysis of ionospheric disturbance factors [PDF]
E3S Web of Conferences, 2020 Investigation of interactions of the near-planet space parameters, Earth magnetic field and ionospheric parameters are of interest in the tasks of solar-terrestrial physics and applied researches related to space weather.
Polozov Yuryi, Mandrikova Oksana
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