Investopedia

Multiple Linear Regression (MLR): Definition, Formula, and Example

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
IEEE

A numerical solution of linear variable-coefficient partial differential equations with two independent variables based on Kida's optimum approximation theory

Abstract: We derive a method of obtaining approximate numerical solution of linear variable-coefficient partial differential equations (PDEs) with two independent variables from Kida's optimum ...
IEEE

Using the best linear approximation as a first step to a new non-invasive glucose measurement

Abstract: In this paper an approach to develop a non-invasive glucose measured system based on the best linear approximation (BLA) and electrical impedance spectroscopy (EIS) is presented. In order to ...
Scientific Research Publishing

Zamani, M. (2009) Three simple spline methods for approximation and interpolation of data. Contemporary Engineering Sciences Journal, 2, 373-381.

ABSTRACT: Approximation methods are used in the analysis and prediction of data, especially laboratory data, in engineering projects. These methods are usually linear ...
JSTOR Daily

A Fully Polynomial-Time Approximation Algorithm for Computing a Stationary Point of the General Linear Complementarity Problem

This is a preview. Log in through your library . Abstract We apply a potential reduction algorithm to solve the general linear complementarity problem (GLCP) minimize ...