A recent study using Heckman-type selection models to adjust for non-response in the Zambia 2007 Demographic and Health Survey (DHS) found a large correction in HIV prevalence for males. We aim to validate this finding, replicate the adjustment approach in other DHSs, apply the adjustment approach in an external empirical context, and assess the robustness of the technique to different adjustme...

The aim of this research was to determine the variables that characterize slate exploitability and to model spatial distribution. A generalized linear spatialmodel (GLSMs)was fitted in order to explore relationship between exploitability and different explanatory variables that characterize slate quality.Modelling the influence of these variables and analysing the spatial distribution of themod...

Experimental neuroscience increasingly requires tractable models for analyzing and predicting the behavior of neurons and networks. The generalized linear model (GLM) is an increasingly popular statistical framework for analyzing neural data that is flexible, exhibits rich dynamic behavior and is computationally tractable (Paninski, 2004; Pillow et al., 2008; Truccolo et al., 2005). What follow...

Introducing a new hobby for other people may inspire them to join with you. Reading, as one of mutual hobby, is considered as the very easy hobby to do. But, many people are not interested in this hobby. Why? Boring is the reason of why. However, this feel actually can deal with the book and time of you reading. Yeah, one that we will refer to break the boredom in reading is choosing generalize...

In this paper a Maximum Likelihood Estimator is derived in the Generalized Linear Model-based regression profiles under the monotonic change in Phase II. The performance of proposed estimator is comprehensively investigated through some special cases and compared to estimators under step change and drift. The results show that the proposed estimator has better performance in small and medium sh...

A review of Placing Charlotte Smith edited by Elizabeth A. Dolan and Jacqueline M. Labbe, written Heather Heckman-McKenna