Global ETD Search
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 76 for “"negative binomial regression"”.
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Performing Network Level Crash Evaluation Using Skid Resistance
… Currently, the evaluation is performed using negative binomial regression, as a function of average annual daily traffic (AADT) and other variables. For this thesis, a crash study was carried out for the interstate, primary and secondary routes, in the Salem District of Virginia. The data used …
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An Investigation of Answer Changing on a Large-Scale Computer-Based Educational Assessment
… variables were modeled using Poisson and negative binomial regression approaches. Results were consistent with prior research that has indicated large numbers of answer changes are rare occurrences that could warrant further exploration. Negative binomial regression was a better approach …
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Birth spacing and child mortality in Mozambique : evidence from two demographic and health surveys
… category of the preceding birth interval. The negative binomial regression model is applied to account for the overdispersion present in the Poisson model.
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"Selective Speaking: The New Form of ""Going Public"
… paradigmatic shift in presidential speechmaking, negative binomial regression and multinomial logit models identify leading conditions that influence both the frequency and choice of speeches to various audience types, particularly selective audiences. The study concludes with a discussion of the …
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Food deserts, crime, and neighborhood context: an examination of the impact of food insecurity on violent crime in Little Rock
… Correlation is used at the bivariate level and negative binomial regression tests multivariate relationships. The results suggest a null relationship between food insecurity and distribution of violent offenders across Little Rock block groups. However, several findings are consistent with prior …
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The influence of personal factors on wrongful convictions
… the criminal justice system. This study employs negative binomial regression to analyze data collected by the National Registry of Exonerations (NRE). Using a sample of 2,349 cases in which the most severe conviction was murder, sexual assault, child sexual abuse, or drug possession, I examine …
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An examination of the disparate impact of neighborhood characteristics on routine and gang-involved gun violence
… to address this issue through application of negative binomial regression and equality of coefficients tests to data obtained from the crime logs and American Community Survey data of a medium-sized city in the Southeastern U.S. Specifically, this study examines (in)equality in the structural …
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Legislating Morality: Codes of Ethics and Sanctions Related to Teacher Misconduct
… a 10-year period. The author used zero-inflated negative binomial regression and determined that the legislated status and nature of codes of ethics for teachers, average annual teacher salary, states’ right to work status, and union coverage had a relationship with sanctions. Additionally, …
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Understanding theft from the person and robbery of personal property victimisation trends in England and Wales, 1994-2010/11
… statistical methods are utilised including binomial logistic, negative binomial and zero-inflated negative binomial regression. There are a number of proposed contributions to knowledge from this research.
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Diagnosis of Cyber and Nonphysical Bullying Victimization: A Routine Activities Approach to Constructing Effective Preventive Measures
… cyber and nonphysical bullying victimization. A negative binomial regression analysis was conducted in order to examine the relationship between the dependent and independent variables. Results from this study indicate that cyber and nonphysical bullying victimization have similarities and …
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Time series analysis of count data with an application to the incidence of cholera
… series models are compared to static Poisson and negative binomial regression, thereby indicating the benefits gained in using count data time series models when the counts exhibit serial correlation. In the process of comparing the models, the effect of environmental drivers on the outbreaks of …
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International migration flow table estimation
… reported flows exist are then estimated from a negative binomial regression model fitted using the Expectation-Maximization (EM) type algorithm. Covariate information for this model is drawn from international migration theory. Finally, measures of precision for all missing cell estimates are …
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Causes of domestic terrorism: 1970-2010
… structural determinants were tested with a negative binomial regression on 194 states between 1970 and 2010. Results suggested an inverse U relationship between wealth and the incidence of terrorism. Interestingly, short term economic growth had the opposite effect. It depressed terrorism. …
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Medicaid Discontinuity among Adults with Cardiovascular Disease or High Risk Conditions: Associations with Medication Adherence and Health Care Utilization
… care were estimated using multivariate logistic regression. Medication adherence, measured as medication possession ratio (MPR) with adequate adherence being considered at MPR>0.8, was estimated using multivariate logistic regression. Medication utilization, measured as the number of all-cause, …
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The Effect of Community and Individual Differences on College Students' Attitudes and Behaviors towards Transgender Individuals
… from across the United States, multiple and negative binomial regression models were used to analyze how individual and community factors are associated with attitudes and behaviors towards transgender individuals. Overall, different individual and community factors were found to be related …
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"Selective speaking: The new form of ""Going Public"""
… paradigmatic shift in presidential speechmaking, negative binomial regression and multinomial logit models identify leading conditions that influence both the frequency and choice of speeches to various audience types, particularly selective audiences. The study concludes with a discussion of the …
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A Sociotechnical Systems Approach to Road Safety in a Low- and Medium- Income Country: Gauteng Province South Africa
… from traditional statistical methods: Poisson Regression, Multiple Linear Regression and Negative Binomial Regression alongside advanced machine learning algorithms like Random Forest. Furthermore, a novel Spatially Aware Poisson Random Forest ensemble model is developed to capture complex …
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FROM VIOLATION TO REVELATION: FINDING FAITH IN THE DEPTHS OF PRISON HELL
… of variables. The primary analysis consists of negative binomial regression models. Findings from the both the preliminary and primary analyses indicate that although both hypotheses were not rejected, they received little support.
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Understanding the relationship between land use/land cover and malaria in Nepal
… MIR and LULC were evaluated using Poisson and negative binomial regression. Forest, water bodies, snow cover, and built-up area increased in Nepal by 28.5%, 2.96%, 55.12% and 21.19% respectively while the rest of the LULC variables decreased. MIR decreased significantly in 21 districts; …
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Evaluating the Impact of Access Density on Pedestrian and Bicycle Safety
… minisegments. Statistical methods, including negative binomial regression, were employed to determine the relationships between access density and crash frequency and severity.</p> <p>Findings indicate that increased access density, particularly driveway density, significantly correlates with …
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