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 ...

Scandinavian Journal of Statistics, Vol. 45, No. 2 (June 2018), pp. 217-254 (38 pages) Non-parametric generalized likelihood ratio test is a popular method of model checking for regressions. However, ...

Nonparametric methods form an important core of statistical techniques and are typically used when data do not meet parametric assumptions. Understanding the foundation of these methods, as well as ...

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 ...