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Modeling Pan Evaporation for Kuwait by Multiple Linear Regression
The Scientific World Journal, 2012 Evaporation is an important parameter for many projects related to hydrology and water resources systems. This paper constitutes the first study conducted in Kuwait to obtain empirical relations for the estimation of daily and monthly pan evaporation as ...
Jaber Almedeij
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Biomass estimation using LiDAR data
International Journal of Sustainable Energy Planning and Management, 2018 Forest ecosystems play a very important role in carbon cycle because they suppose one of the biggest carbon reservoirs and sinks. Estimating the aboveground forest biomass is critical to understand the global carbon storage process.
Leyre Torre
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D-optimal experimental designs for linear multiple regression under heteroscedastic observations
Журнал Белорусского государственного университета: Математика, информатика, 2020 The problem of construction of «continuous» (number of observations is not fixed) and «exact» (number of observations is fixed) D-optimal experimental designs for linear multiple regression in the case when variance of errors of observations depends on ...
Valery P. Kirlitsa
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REMEDY OF EFFECTS OF MULTICOLLINEARITY IN MULTIPLE LINEAR REGRESSION MODEL [PDF]
Fayoum Journal of Agricultural Research and Development, 2019 Assuming that there is no complete linear relationship between theindependent variables in the multiple linear regression models leads to themulticollinearity problem.
M. A. Gad, H. F. M. Hussein
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Fire, 2023 Patterns of spatial heterogeneity in forests and other fire-prone ecosystems are increasingly recognized as critical for predicting fire behavior and subsequent fire effects.
Chad M. Hoffman +4 more
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Data in Brief, 2022 The data sets and regression models presented here are related to the article “Point and interval estimation of decomposition error in discrete-time open tandem queues” [1]. The data sets are the first to analyze the approximation quality of the discrete-
Christoph Jacobi, Kai Furmans
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Analyzing multiple outcomes: is it really worth the use of multivariate linear regression? [PDF]
, 2015 In health related research it is common to have multiple outcomes of interest in a single study. These outcomes are often analysed separately, ignoring the correlation between them.
Teixeira-Pinto, Armando, Oliveira, Rosa
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Multiple Linear Regression versus Automatic Linear Modelling
Arquivo Brasileiro de Medicina Veterinária e ZootecniaIn this study, performances of Multiple Linear Regression and Automatic Linear Modelling are compared for different sample sizes and number of predictors. A comprehensive Monte Carlo simulation study was carried out for this purpose.
S. Genç, M. Mendeş
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JTSL (Jurnal Tanah dan Sumberdaya Lahan), 2023 Soil thickness has a significant influence on many of earth surface processes, and it can be mapped using various methods. Digital soil mapping can be used to estimate the spatial distribution of soil thickness and can estimate the uncertainty of the ...
Muhammad Fauzan Ramadhan +3 more
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On the implementation of LIR: the case of simple linear regression with interval data [PDF]
, 2012 This paper considers the problem of simple linear regression with interval-censored data. That is, n pairs of intervals are observed instead of the n pairs of precise values for the two variables (dependent and independent).
Cattaneo, Marco E.G.V. +2 more
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