Methods are presented for performing a rigorous sensitivity analysis of numerical problems with independent, noncorrelated data for general systems of linear and nonlinear equations. The methods may ...

Learn the difference between linear regression and multiple regression and how investors can use these types of statistical analysis.

The nonlinear second order differential equation satisfied by the homogeneous function y = [ aum + mbujv n + cvm ]k/m, m = j + n, is obtained. Functions u and v satisfy independently the linear ...

Whereas linear regression only has one independent variable, multiple regression encompasses both linear and nonlinear regressions and incorporates multiple independent variables.