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Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 135 for “"Poisson regression"”.
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Poisson regression with Laplace measurement error
… procedures are proposed for a class of Poisson linear regression when the covariate is contaminated with Laplace measurement error. This dissertation contains two research projects. In the first project, we propose a weighted least squares estimation procedure that incorporates the first …
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Poisson regression models for interval censored count data.
… we develop Bayesian models for interval censored Poisson counts in the presence of zero inflation and missing data. As a motivating example, we consider data arising from a Human Immunodeficiency Virus (HIV) vaccine trial featuring imprecise counts, missing data, and an abundance of values which …
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A poisson regression model for assessing force majeure claims
Empirical legal analysis is an emerging discipline of statistical and legal scholarship. Despite its importance, however, there is a lack of empirical research on the affirmative defense of force majeure, which eliminates liability for a breach of contract in the case of an unforeseeable and …
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Spatial Poisson regression : Bayesian approach correcting for measurement error with applications.
… count data. McBride (2006) proposed a Bayesian Poisson regression model which accounts for overdispersion in count data. We extend this model by adding parameters to accommodate the problems associated with under and over reporting in the count data. We then study the model's coverage, power, …
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Optimal Experimental Designs for the Poisson Regression Model in Toxicity Studies
… especially the one-variable first-order logistic regression model. This research extends this topic to count data models. The primary goal of this research is to develop efficient and robust experimental designs for the Poisson regression model in toxicity studies. D-optimal designs for both the …
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A Piecewise Linear Generalized Poisson Regression Approach to Modeling Longitudinal Frequency Data
… data. We present a piecewise-linear, generalized Poisson regression model for longitudinal frequency data. Based on the generalized Poisson distribution, this model is flexible enough to allow for (and detect) underdispersion, equidispersion, or overdispersion in the data. We apply this model to …
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Regression analysis for estimation of the influencing factors on road accident injuries in Oman Poisson Regression Model and Poisson Alternatives
… safety research to model accident counts Yi as Poisson distributed random variables that Yi ~ Pois (λi) corresponds to a random distribution of the accidents over time and space. Accident data have often been shown to exhibit overdispersion, which make it essential to use alternatives of Poisson …
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Examining the Relationship Between Functions of Self-Directed Violence and the Suicide Implicit Association Test
… Suicide Attempt Self-Injury Interview. </p> <p>Regression analyses revealed non-significant associations for both intrapersonal (β=1.44, S.E.=.91, p=.13) and interpersonal (β=.004, S.E.=.5, p=.99) functions. Poisson regression analyses revealed non-significant associations for both intrapersonal …
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Impact of Air Pollution on Stroke Incidence in Texas
… pollutant as independent variables, a linear regression analysis was done. A linear regression analysis with subsets of the data was also performed. In subset analysis, log of the population was added as a covariate. Analyses revealed significant pollutants for stroke mortality. A similar …
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The Epidemiology Of Taekwondo Injuries In Youth And Adult Competitors
… Due to multiple injuries in some participants, Poisson regression models were fitted using generalized estimating equations to estimate incidence rate ratios (IRR) and to test risk factors. Unadjusted rates were estimated from Poisson regression with each of the following risk factors: age, sex, …
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The epidemiology of clustered risk factors compatible with Metabolic Syndrome in Hawai‘i
… adult population now have metabolic syndrome. Poisson regression analysis showed that race/ethnicity was an independent risk factor for having 3--4 MetS risk factors when controlling for age, education, gender, poverty level, having healthcare coverage, and having a personal doctor.
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Practical Aspects Of Kernel Smoothing For Binary Regression And Density Estimation
… use of kernel smoothing in three areas: binary regression, density estimation and Poisson regression sample size calculations. Both nonparametric and semiparametric binary regression estimators are examined in detail, and extended to two bandwidth cases. The asymptotic behaviour of these …
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Modeling Driving Risk Using Naturalistic Driving Study Data
… a novel Bayesian random exposure method for Poisson regression models to account for situations where the exposure information needs to be estimated. Simulation studies and real data analysis on Cellphone Pilot Analysis study data showed that, random exposure models have significantly better …
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Associated factor of mortality rate amongst patients with AIDS and HIV-TB co-infections using zero inflated negative binomial method
… variable is a nonnegative count variable, a Poisson regression model is commonly used to explain the relationship between the outcome variable and a set of explanatory variables. However, if extra-zero Poisson counts are observed, it has been suggested that a zero-inflated Poisson regression …
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Bayesian approach to inference and variable selection for misclassified and under-reported response models.
… a subset of significant covariates in non-linear regression. In particular, we consider non-differential misclassification in logistic regression and non-differential under-reporting in Poisson regression. Differential misclassification and differential under-reporting are also addressed but in …
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Advanced methods for prediction of animal-related outages in overhead distribution systems
… historical outage data for prediction models. Poisson regression model, neural network model, wavelet based neural network model and Bayesian model combined with Monte Carlo simulations are applied to the weekly data of different cites. Even though Poisson regression models, Bayesian models and …
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Political Cultures in Times of Crisis: Measuring the Effects of Liberal Values on Interstate Crisis Onset
… first reassessing and refining Bremer’s use of Poisson regression and then introducing an interaction variable for liberal values. Unlike Bremer, and many others, who focused their measures of democracy on the presence of democratic institutions as presented in the Polity Project, this study …
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Maximum-likelihood-based confidence regions and hypothesis tests for selected statistical models.
… models. The models are a seemingly unrelated regression model, a bivariate Poisson regression model, and a model of two inversely-related Poisson rate parameters with misclassified data. The seemingly unrelated regression (SUR) model promotes more efficient estimation as opposed to an ordinary …
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Sibling Influence on Adolescent Cigarette, Alcohol, and Marijuana Use
… limited frequency of drug use among respondents, Poisson regression is used to estimate models for each type of drug. In support of current literature, findings indicate that having a sibling who uses drugs increases the frequency of drug use substantially, even when peer influences are taken into …
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Determinants of International Terrorist Group Formation, 1968-1999
… and societal factors. This is done by Poisson regression analysis, which determines the significance of the independent variables on a count of new international terrorist group formations per country year. The results indicate that higher levels of material government capability, high …
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