Results 21 to 30 of about 2,203,514 (272)
Pedotransfer functions for estimating the van Genuchten model parameters in the Cerrado biome [PDF]
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
doaj +1 more source
Quantum Circuit Design Methodology for Multiple Linear Regression
Multiple linear regression assumes an imperative role in supervised machine learning. In 2009, Harrow et al. [Phys. Rev. Lett. 103, 150502 (2009)] showed that their HHL algorithm can be used to sample the solution of a linear system $\mathbf{Ax=b ...
Behera, Bikash K. +5 more
core +2 more sources
ANALISIS PENETAPAN NILAI GANTI KERUGIAN PROPERTI KORBAN LUAPAN LUMPUR LAPINDO
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
doaj +1 more source
Understanding the Results of Multiple Linear Regression: Beyond Standardized Regression Coefficients [PDF]
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
core +1 more source
Modeling Pan Evaporation for Kuwait by Multiple Linear Regression
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
Biomass estimation using LiDAR data
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
D-optimal experimental designs for linear multiple regression under heteroscedastic observations
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
doaj +1 more source
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
doaj +1 more source
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
Application of fuzzy linear regression models for predicting tumor size of colorectal cancer in Malaysia's Hospital [PDF]
Fuzzy linear regression analysis has become popular among researchers and standard model in analysing data vagueness phenomena. These models were represented by five statistical models such as multiple linear regression, fuzzy linear regression (Tanaka),
Ahmad Hilmi Azman +7 more
core +1 more source

