The Annals of Statistics, Vol. 49, No. 2 (April 2021), pp. 702-722 (21 pages) For a nonlinear regression model, the information matrices of designs depend on the parameter of the model. The adaptive ...

In univariate nonlinear regression models, estimator and test statistics based on (generalized) least squares and maximum likelihood methods are usually nonrobust; M-procedures are better in this ...

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, ...