The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...

This is a preview. Log in through your library . Abstract We consider quadratic regression models where the explanatory variable is measured with error. The effect of ...

In polynomial regression, the values of a dependent variable (also called a response variable) are described or predicted in terms of polynomial terms involving one or more independent or explanatory ...

This example illustrates some properties of splines. Splines are curves, which are usually required to be continuous and smooth. Splines are usually defined as piecewise polynomials of degree n with ...

Log-normal linear regression models are popular in many fields of research. Bayesian estimation of the conditional mean of the dependent variable is problematic as many choices of the prior for the ...