Linear modeling and regression for exponential engineering functions by a generalized ordinary least squares method

application of artificial neural network and ordinary least squares regression in modeling land use changes

owing to the vital effects of future land use changes, it is necessary to predict land use growth pattern before any decision making by the authorities and decision makers. purpose of this research is to model land use change of kohmare scorch plain of shiraz province using ordinary least squares regression (ols) for pre-processing variables and modeling using neural networks. to perform this m...

A Comparison of Ordinary Least Squares and Logistic Regression

Robust linear least squares regression

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A risk comparison of ordinary least squares vs ridge regression

We compare the risk of ridge regression to a simple variant of ordinary least squares, in which one simply projects the data onto a finite dimensional subspace (as specified by a principal component analysis) and then performs an ordinary (un-regularized) least squares regression in this subspace. This note shows that the risk of this ordinary least squares method (PCA-OLS) is within a constant...

Least – Squares Method For Estimating Diffusion Coefficient

 Abstract: Determination of the diffusion coefficient on the base of solution of a linear inverse problem of the parameter estimation using the Least-square method is presented in this research. For this propose a set of temperature measurements at a single sensor location inside the heat conducting body was considered. The corresponding direct problem was then solved by the application of the ...