We thank Dr Marschner for his insightful comments on our paper on relative risk (RR) regression (Fitzmaurice and others, 2014). In particular, his letter highlights an important distinction that may not have been transparent in our paper. Before discussing this issue, we must emphasize that the main motivation for developing the method proposed in our paper is the increasing use of Poisson regr...

The Birnbaum-Saunders generalized t (BSGT) distribution is a very flflexible family of distributions that admits different degrees of skewness and kurtosis and includes some important special or limiting cases available in the literature, such as the Birnbaum-Saunders and BirnbaumSaunders t distributions. In this paper we provide a regression type model to the BSGT distribution based on the gen...

This paper is devoted to "Some Discrete Distributions Generated by Standard Stable Densities" (in short, Discrete Stable Densities). The large-sample properties of M-estimators as obtained by the "Generalized Method of Moments" (GMM) are discussed for such distributions. Some corollaries are proposed. Moreover, using the respective results we demonstrate the large-sample pro...

In this paper, we develop robust estimation for the mean and covariance jointly for the regression model of longitudinal data within the framework of generalized estimating equations (GEE). The proposed approach integrates the robust method and joint mean–covariance regression modeling. Robust generalized estimating equations using bounded scores and leverage-based weights are employed for the ...

Abstmct-The Wigner-Ville spectrum has been recently introduced as the unique generalized spectrum for time-varying spectral analysis. Its properties are revised with emphasis on its central role in the analysis of second-order properties of nonstationary random signals. We propose here a general class of spectral estimators of the Wigner-Ville spectrum: this class is based on arbitrarily weight...

Predicting neural architecture performance is a challenging task and crucial to design search. Existing approaches either rely on predictors which are limited modeling architectures in predefined space involving specific sets of operators connection rules, cannot generalize unseen architectures, or resort Zero-Cost Proxies not always accurate. In this paper, we propose GENNAPE, Generalized Neur...

Suppose that the Ž nite population consists of N identiŽ able units. Associated with the ith unit are the study variable, yi , and a vector of auxiliary variables, xi . The values x11 x21 : : : 1xN are known for the entire population (i.e., complete) but yi is known only if the ith unit is selected in the sample. One of the fundamental questions is how to effectively use the complete auxiliary ...