The study of networks, sets of objects connected by relationship, is an important area in sociology. It helps to understand the causes and consequences of the structure or relationships in large groups of people. Recently, Zheng et al (2006) used a multilevel overdispersed Poisson regression model to estimate the variation of propensity to form ties to people in some groups (e.g. males in priso...

There is evidence that ozone may cause asthma. However, the effects of asthma on young children are still unclear. This study explores the relationship of daily peak ozone levels and asthma hospital admission rates at the zip code level in California’s South Coast Air Basin area during a three-year period (1997 to 1999). The Poisson regression model was used to investigate this relationship. Af...

We performed a population-based cohort study of 1,109,605 women who delivered in Ontario, Canada, between 1 April 1996 and 31 March 2010. We categorized women as gestational diabetes (GDM) (n = 45,384), pregestational diabetes (pre-GDM) (n = 13,278), or no diabetes (n = 1,050,943). The annual age-adjusted rates of diabetes in pregnancy were calculated, and rates of serious perinatal outcomes we...

Ten elite wheat inbred lines / cultivars were tested for grain yield stability at five different locations under the rainfed conditions in the North West Frontier Province of Pakistan. These inbred lines were exposed to different soil types, soil fertility, moisture levels and temperatures. GxE interaction mean squares were highly significant for grain yield. The overall mean grain yield perfor...

We propose two new types of nonparametric tests for investigating multivariate regression functions. The tests are based on cumulative sums coupled with either minimum volume sets or inverse regression ideas; involving no multivariate nonparametric regression estimation. The methods proposed facilitate the investigation for different features such as if a multivariate regression function is (i)...

We consider the problem of testing hypotheses on the regression function from n observations on the regular grid on [0, 1]. We wish to test the null hypothesis that the regression function belongs to a given functional class (parametric or even nonparametric) against a composite nonparametric alternative. The functions under the alternative are separated in the L2-norm from any function in the ...

We introduce the notion of a Poisson symmetric space and the associated infinitesimal object, a symmetric Lie bialgebra. They generalize corresponding notions for Lie groups due to V. G. Drinfel’d. We use them to give some geometric insight to certain Poisson brackets that have appeared before in the literature. 1 Motivation Let us recall briefly the best-known examples of Poisson manifolds. Th...

Using a sample of male and female workers from the 1992 Employment in Britain survey we estimate a generalised grouped zero-inflated Poisson regression model of employees’ selfreported lateness. Reflecting theoretical predictions from both psychology and economics, lateness is modelled as a function of incentives, the monitoring of and sanctions for lateness within the workplace, job satisfacti...

The present study sought to fill a research void on adolescent problem behaviours in South Africa by examining individual and contextual factors that affect sexual-risk taking behaviours amongst black African adolescents in a poor community of the North West Province of South Africa. Using the logistic and Poisson regression analytical techniques, we find that individual and contextual factors ...

Abstract: This paper develops some objective priors for certain parameters of the bivariate normal distribution. The parameters considered are the regression coefficient, the generalized variance, and the ratio of the conditional variance of one variable given the other to the marginal variance of the other variable. The criterion used is the asymptotic matching of coverage probabilities of Bay...