Results 21 to 30 of about 2,215,776 (276)
Spatial prediction of soil properties in two contrasting physiographic regions in Brazil
Scientia Agricola, 2016 This study compared the performance of ordinary kriging (OK) and regression kriging (RK) to predict soil physical-chemical properties in topsoil (0-15 cm).
Michele Duarte de Menezes +4 more
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Pedotransfer functions for estimating the van Genuchten model parameters in the Cerrado biome [PDF]
Revista Brasileira de Engenharia Agrícola e Ambiental, 2022 The Cerrado biome has presented challenges in reconciling its agricultural expansion with water availability. In this sense, water resources planning and management are fundamental for the economic, social, and environmental development of the Cerrado ...
Mariana F. Veloso +4 more
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Understanding the Results of Multiple Linear Regression: Beyond Standardized Regression Coefficients [PDF]
, 2013 Multiple linear regression (MLR) remains a mainstay analysis in organizational research, yet intercorrelations between predictors (multicollinearity) undermine the interpretation of MLR weights in terms of predictor contributions to the criterion ...
Genizi A. +10 more
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ANALISIS PENETAPAN NILAI GANTI KERUGIAN PROPERTI KORBAN LUAPAN LUMPUR LAPINDO
JEJAK: Jurnal Ekonomi dan Kebijakan, 2015 This research studies the fairness of the agreed compensation property nominal value for the victims of the Sidoarjo mudflow. This research was performed by comparing the agreed nominal amount of compensation with the estimated values based on the ...
B Irawan, A Paranata
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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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, 2015 Model tree induction is a popular method for tackling regression problems requiring interpretable models. Model trees are decision trees with multiple linear regression models at the leaf nodes.
Frank, Eibe +2 more
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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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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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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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