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 ...

Linear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the response and ...

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 ...

Several new tests are proposed for examining the adequacy of a family of parametric models against large nonparametric alternatives. These tests formally check if the bias vector of residuals from ...