Results 21 to 30 of about 935,587 (245)

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
doaj   +1 more source

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
doaj   +1 more source

A Comparison of Four Spatial Interpolation Methods for Modeling Fine-Scale Surface Fuel Load in a Mixed Conifer Forest with Complex Terrain

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, Justin P. Ziegler, Wade T. Tinkham, John Kevin Hiers, Andrew T. Hudak   +4 more
doaj   +1 more source

Integration of Regression Analysis and Spatial Interpolation in Multi-Sensor Soil Calibration Optimization Based on RS485 to Support Precision Agriculture

Jurnal Keteknikan Pertanian Tropis dan Biosistem
Technological developments provide significant opportunities to utilisemeasurement equipment to enhance the effectiveness and efficiency of agricultural production. Accurate soil content measurement is very important for
Budi Priyonggo, Muhammad Hafidz, Athoillah Azadi, Adi Wirawan, Jati Nurcholis, Muharfiza, Mahirah Jahari   +6 more
doaj   +1 more source

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
doaj   +1 more source

Regression analyses of the data sets for the analysis of decomposition error in discrete-time open tandem queues

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
doaj   +1 more source

PERBANDINGAN METODE MULTIPLE LINEAR REGRESSION (MLR) DAN REGRESSION KRIGING (RK) DALAM PEMETAAN KETEBALAN TANAH DIGITAL

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, Guruh Samodra, Muhammad Rizky Shidiq Nugraha, Djati Mardiatno   +3 more
doaj   +1 more source

Early Body Mass Index z‐Score Change and Resolution of Severe Malnutrition in Children With Sickle Cell Anemia in a Low‐Income Setting: A Prospective Single‐Arm Extension Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo, Shehu Umar Abdullahi, Hassan Adam Murtala, Halima Kabir, Khadija A. Shamsu, Sari A. Acra, Virginia A. Stallings, Mark Rodeghier, Michael R. DeBaun, Lauren J. Klein   +9 more
wiley   +1 more source

Overparameterized multiple linear regression as hyper-curve fitting

Machine Learning: Science and Technology
This work demonstrates that applying a fixed-effect multiple linear regression model to an overparameterized dataset is mathematically equivalent to fitting a hyper-curve parameterized by a single scalar.
Elisa Atza, Neil Budko
doaj   +1 more source

A learning system-based soft multiple linear regression model

Intelligent Systems with Applications
Machine learning applied to regression models offers powerful mathematical tools for predicting responses based on one or more predictor variables.
Gholamreza Hesamian, Faezeh Torkian, Arne Johannssen, Nataliya Chukhrova   +3 more
doaj   +1 more source