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Three different methods of estimating the regression parameters are studied.
The regression parameters indicated that detachment rate decreases linearly with sediment load in the gully flow.
This paper considered the estimation of the regression parameters of a general probit regression model.
The proposed models are designed based on simplified load calculation principles, so that the regression parameters have physical significance.
Sequential procedures are proposed to estimate the regression parameters in a linear regression model with dependent residuals.
The regression parameters viz., slope, offset and variance are used to identify threshold between forest and non-forest classes.
The regression parameters, however, are unknown.
Table 5 shows the regression parameters under the two models.
The autocorrelation of regression residuals leads to poor estimation quality of the regression parameters and to overstatement of test statistics that are used to test the significance of coefficients.
where the β 0, β a, β s and β as are the regression parameters.
where β 0,β a,β s,β as and β z are the regression parameters.
More suggestions(15)
the degradation parameters
the regression variables
the regression patterns
the decay parameters
the regression measures
the transition parameters
the regression specifications
the regression coefficients
the shrinkage parameters
the loss parameters
the regression results
the conversion parameters
the regression lines
the performance parameters
the market parameters
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com