For whom the bell tolls: The institutionalization of homeless families in america

A peek through the doors of New York City's Emergency Assistance Unit (EAU), the entryway into the City's family shelter system, presents a shocking snapshot of life for the poorest of America's welfare families: the homeless. Burgeoning with young single mothers and children sitting on floors and sleeping in chairs as they wait for someone to send them on to temporary shelter, the EAU offers a vivid example of the overburdened institutions of support on which poor families depend daily.     

Improved formulations and branch-and-cut algorithms for the angular constrained minimum spanning tree problem

Journal of Combinatorial Optimization - The Angular Constrained Minimum Spanning Tree Problem ( $$\alpha $$ -MSTP) is defined in terms of a complete undirected graph $$G=(V,E)$$ and an angle...     

A new skew-bimodal distribution with applications

The modeling and analysis of experiments is an important aspect of statistical work in a wide variety of scientific and technological fields. We introduce and study the odd log-logistic skew-normal model, which can be interpreted as a generalization of the skew-normal distribution. The new distribution can be used effectively in the analysis of experiments data since it accommodates unimodal, bimodal, symmetric, bimodal and right-skewed, and bimodal and left-skewed density function depending on the parameter values. We illustrate the importance of the new model by means of three real data sets in analysis of experiments.     

The Log-Normal zero-inflated cure regression model for labor time in an African obstetric population

In obstetrics and gynecology, knowledge about how women''s features are associated with childbirth is important. This leads to establishing guidelines and can help managers to describe the dynamics of pregnant women''s hospital stays. Then, time is a variable of great importance and can be described by survival models. An issue that should be considered in the modeling is the inclusion of women for whom the duration of labor cannot be observed due to fetal death, generating a proportion of times equal to zero. Additionally, another proportion of women''s time may be censored due to some intervention. The aim of this paper was to present the Log-Normal zero-inflated cure regression model and to evaluate likelihood-based parameter estimation by a simulation study. In general, the inference procedures showed a better performance for larger samples and low proportions of zero inflation and cure. To exemplify how this model can be an important tool for investigating the course of the childbirth process, we considered the Better Outcomes in Labor Difficulty project dataset and showed that parity and educational level are associated with the main outcomes. We acknowledge the World Health Organization for granting us permission to use the dataset.