population density, average household size and female literacy were found to be statistically significant in the ordinary
least squares regression model.
In the present study, the variance inflation factors obtained using the
Least Squares method were very high, whereas those resulting from Ridge Regression and Principal Components Regression were very low.
In the same way, the optimal weighting
least squares estimation for the load inertia with one plus m sets of observation data can be expressed in
To find the equation of the line of best fit in the
least squares sense to the data, y = a + bx, we must find values of a, b that minimise the sum of the squares of the residuals which we can express as:
The Gradient Based and
Least Squares Based Iterative Algorithm
The ordinary
least squares regression equation of Y is obtained by the REG procedure of SAS program.
In order to determine the geoid using the KTH method, free-air gravity anomalies (Krynski, 2007) were interpolated by the
least squares prediction method on 1.5' x 3.0' grid nodes for the area 47[degrees] < [phi] <57[degrees] and 11[degrees] < [lambda] <27[degrees] (Fig.
To apply the
least squares principle, we reformulate the Stokes-Darcy equations as a first-order system derived in terms of an additional vector variable (the vector of gradients of the Stokes velocities).
Keywords: Linear models Ordinary
least square Method Recursive Test