Control charts for individual observations of a bivariate Poisson process

In this paper, three single-control charts are proposed to monitor individual observations of a bivariate Poisson process. The specified false-alarm risk, their control limits, and ARLs were determined to compare their performances for different types and sizes of shifts. In most of the cases, the single charts presented better performance rather than two separate control charts ( one for each quality characteristic). A numerical example illustrates the proposed control charts.

A non-homogeneous poisson model with spatial anisotropy applied to ozone data from Mexico City

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Protein-Ion Binding Process on Finite Macromolecular Concentration. A Poisson-Boltzmann and Monte Carlo Study

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Integrability vs supersymmetry: Poisson structures of the pohlmeyer reduction

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Nicotine dependence and levels of depression and anxiety in smokers in the process of smoking cessation

Background: Depression and anxiety are psychiatric disorders that are related to tobacco use and associated with dependence, the process of cessation, lapses and relapses after quitting smoking. Objective: To analyze the association of nicotine dependence with the level of anxiety and depression in patients who are in the process of smoking cessation. Methods: Cross-sectional study conducted with patients who sought the smoking cessation program in Cuiabá/MT. All the smokers enrolled from May to August 2012, participated in this study. Four instruments were applied: Socio-demographic Questionnaire, Fagerstrom test, Beck Anxiety Inventory and Beck Depression Inventory. Following bivariate analysis, using the crude prevalence ratio, with level of significance lower than 5% (p < 0.05), having as variable outcome the nicotine dependence >= 5 (Fagerstrom). The associations with p < 0.20 were selected for robust Multiple Poisson Regression (RPa). Results: Associations of Fagerstrom >= 5 with the male sex (RP = 1.15 CI 95% 1.03-1.28); number of cigarettes/day (RP = 1,33; CI 95% 1.19-1.48); and moderate/severe level of depression (RP = 1.15; CI 95% 1.04-1.28) were found. In the final model (RPa), the following variables remained associated: male gender (RPa 1.12; CI 95% 1.01-1.24), number of cigarettes/day (RPa 1.28; CI 95% 1.15-1.43) and high level of depression (RPa 1.12; CI 95% 1.01-1.23). Discussion: High level of nicotine dependence was associated significantly with the level of depression, emphasizing the association between smoking and psychiatric comorbidities.