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In the spatial domain, in addition to the use of simple linear techniques which emphasize the high-frequency contents of an image (the so-called unsharp masking approach), the most famous approaches are probably the Retinex model, based on Land's studies [9], and histogram equalization [10].
The current trend of increasing the electricity production from wind energy has led to the installation of wind farms in areas of greater orographic complexity, raising doubts on the use of simple, linear, mathematical models of the fluid flow equations, so common in the wind energy engineering.
Relationships between parameters were examined by the use of simple linear regression analyses.
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where (x i, y i ) is an element of GLCM, ε i is an error term, and var(A) is the variance of A. When an edge block is given, we use the coefficient of determination (R2) of simple linear regression to compare the variance of GLCM H and GLCM V of a given block [18].
In this section, the performance of the U method for Phase-I monitoring of simple linear profiles when used for two-stage process is investigated.
We illustrate the nonnormative nature of simple linear addition by using a coin-tossing game as an example.
A model of simple linear regression was used with the EQ-VAS score as dependent variable and HbA1c as independent variable.
For H1 and H3, two sets of simple linear regression were used to assess the association between independent variable and dependent variable.
A series of simple linear regressions were used to investigate the univariate association between the normative misperception score and the socio-demographic and drinking variables.
Moreover, most studies used a set of SNPs selected by p-values of simple linear regression model [ 8, 9, 13].
b Results of simple linear iterative clustering.
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