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The soil fertility parameters studied at landscape level and within a field were best estimated by using nonlinear regression models.
A set of forty-seven Akt1 inhibitors was used for the development of molecular docking based QSAR model by using nonlinear regression.
The rate parameters for esterification, isomerization and double bond saturation were estimated from the experimental data by using nonlinear regression analysis.
The geometry correction functions of the five cracks, as a function of a crack size are determined by using nonlinear regression analysis estimating the statistical descriptors of the five geometry correction functions.
The results showed that water inflow increases logarithmically with the coal seam thickness, increases as a power function with the permeability coefficient of the coal seam, and increases linearly with the coal seam burial depth and the head pressure; The evaluation model for the factors of coal seam water inrush was gained by using nonlinear regression analysis with SPSS.
The numerical coefficients of the ITU-R method, given in Equation (4), have been adjusted accordingly, based on measurement data in the Malaysian tropical climate, by using nonlinear regression and moving average techniques.
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It was created from mean measured height of trees in NWOR for each DBH class [12] weighted by DBH-1 using nonlinear regression in SAS [37].
It was created from mean measured height of trees in NWOR for each DBH class [ 12] weighted by DBH-1 using nonlinear regression in SAS [ 37].
The kinetic and adsorption constants of the rate equations were estimated by the best fit using nonlinear regression method.
Data were analyzed by full kinetic analysis using nonlinear regression (NLR) of regional time-activity curve (TAC) data with a BSIF.
The IC50 values were calculated by fitting the data using nonlinear regression in GraphPad Prism Software (San Diego, CA).
More suggestions(15)
by using mathematical regression
by using nonlinear summation
by using nonlinear alternative
by using nonlinear engineering
by using generalized regression
by using regularized regression
by using ordinary regression
by using nonlinear surface
by using nonlinear cost
by using simple regression
by using hierarchical regression
by using nonlinear scalarization
by using univariate regression
by using standard regression
by using nonlinear mapping
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