This paper considers linear models with misspecification of the form $f(x) = E(y|x) = \sum ^{p}_{j=1} \theta _{jgj}(x) + h(x)$, where h(x) is an unknown function. We ...

R estimators based on the joint ranks (JR) of all the residuals have been developed over the last 20 years for fitting linear models with independently distributed errors. In this article, we extend ...

In this module, we will introduce the basic conceptual framework for statistical modeling in general, and linear statistical models in particular. In this module, we will learn how to fit linear ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...