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 32 for “"Multinomial regression"”.
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Developmental Math Education: The Bermuda Triangle of Student Success--Many Enter, but Few Succeed.
… significant. However, a model was created using multinomial regression. The model was created using data from the fall 2013 semester and was tested using data from the fall 2014 semester. The effectiveness of developmental math in predicting a student’s success in the first college-level math …
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Multicoil-HMM : improved prediction of coiled-coil oligomer state from sequence
… incorporates predictors deemed important by a multinomial logistic regression to distinguish between the dimer, trimer and non-coiled coil oligomerization states. The Multicoil-HMM algorithm shows significantly improved oligomer state prediction over a retrained Multicoil algorithm, which is …
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Some aspects of fitting multinomial models in a GLM framework
… least squares algorithm can be used to fit a multinomial regression model, with logit link function or own link functions, with any number of explanatory variables. The responses of each individual can be aggregated and the data can then be represented in a contingency table as are given in …
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A study of the effect of music genre and intensity on ethnic menu item selection in a military dining facility
… All three questions were analyzed using multinomial regression analysis. (Abstract shortened by UMI.).
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Evaluator characteristics and programme evaluability decisions: an exploratory study of evaluation practice in South Africa, Brazil, the United Kingdom, and the United States of America
… of three fictitious evaluation scenarios. Multinomial regression analyses confirmed that practice context and level of experience did not predict the type of evaluability criterion prioritised in any of the scenarios. Evaluators practising in developed countries were more likely to …
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Bird strike risk assessment at commercial airports: sub-model development accounting for strike occurrence and severity with strike contributory factors
… Seattle Tacoma International Airport. Logistic regression was applied and the results showed that bird strike occurrence was positively related to both bird density and airplane movement frequency. The other sub-study analyzed the effects of meteorological variables (e.g., temperature) on bird …
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Beta Drift: Forecasting the Manifold Relationships between Students and their Pursuit of STEM Careers
… the fourth wave were employed in a large-scale multinomial regression analysis. Anticipated <em>STEM occupation at the age of 30</em> was examined across six years of complex survey data using multiple taxonometric definitions. Social Cognitive Career Theory provided the theoretical framework …
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Analyzing and Modeling the Effects of Independent Variables on Texas Severe Work Zone Crashes
… injury or killed. By utilizing the Multinomial Regression as the modeling technique with crash severity as the dependent variable, the significance of the various parameters in terms of their contributions to work zone crash severity is represented as P value. This measures the …
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Detecting feigning in adolescents on the Personality Assessment Inventory-Adolescent form
… levels of depression on the PAI-A. MANOVA and multinomial regression showed strong support for the Rogers Discriminant Function (RDF; d range = 1.85 - 2.05). The Negative Impression Management (NIM) scale also showed some promise (d range = 0.77 – 1.08) but was less useful than the RDF. …
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Modeling Driver Behavior and I-ADAS in Intersection Traversals
… driver behavior model was a Markov Model with a multinomial regression that achieved an average 90.5% accuracy across the three crash modes. The model used over 124,000 total intersection encounters including 301 crash and near-crash scenarios. I-ADAS effectiveness was evaluated with realistic …
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Investigating the psychological typology of social recovery in individuals with first episode psychosis
… of outcome were examined using ordinal and multinomial regression. Results At baseline, over 80% of participants scored below the non-clinical cut-off of 45 hours per week in structured activity. Male gender and poor premorbid adjustment in adolescence predicted baseline levels of social …
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The association between usual health care utilization and stage at diagnosis in laryngeal cancer
… analyses adjusting for confounders. Multinomial regression may be needed to fully elucidate the effects of health care utilization across Stage I–IV. Understanding health care utilization among laryngeal cancer patients is important for improving early detection and warrants further …
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Individual and Geographic Predictors of Formal and Informal Care Patterns and Nursing Home Placement Risk among Rural Appalachian Elders
… to address the research objectives. First, a multinomial regression model, including both individual and geographic data, was used to predict care-mix. Second, after calculating the outcome variable “nursing home placement risk” via a derived logistic regression equation, a log-linear analysis …
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Three Essays on Social Stratification, Gender and Health
… 17 developed countries. Methodologically, I use multinomial regression, quantile regression, Cox proportional hazards models, and country fixed-effect approaches aligning my analytic strategies with the nature and scope of the research questions. The first chapter focuses on whether weight status …
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Regression Methods for Categorical Dependent Variables: Effects on a Model of Student College Choice
… dependent variables with the classical linear regression model (CLRM) violates many of the model's assumptions and may result in biased estimates (Long, 1997; O'Connell, Goldstein, Rogers, & Peng, 2008). Many dependent variables of interest to educational researchers (e.g., professorial rank, …
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Advances in Applied Econometrics: Binary Discrete Choice Models, Artificial Neural Networks, and Asymmetries in the FAST Multistage Demand System
… leads to the development of the Bernoulli Regression Model, a family of statistical models arising from conditional Bernoulli distributions. The paper provides guidelines for specifying and estimating a Bernoulli Regression Model, as well as, methods for generating and simulating …
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Conjugate generalized linear mixed models with applications
This thesis focuses on the development of conjugate generalized linear mixed models (CGLMMs), which is a computationally efficient modelling framework for longitudinal and multilevel data where the likelihood can be expressed in closed-form. We focus on the scenario where the random effects are …
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An Analysis of crop farmer's resilience to climate change in the Thulamela Local Municipality of Vhembe District, Limpopo Province, South Africa
… the resilient strategies adopted by farmers and multinomial regression analysis was used to analyse the factors influencing the choice of resilient strategies by farmers. The study found that there are more females than male farmers that use resilient strategies to mitigate the effects of climate …
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Breaking the norm: Family characteristics associated with the avoidance of corporal punishment
… and no couple violence avoided CP.</p><p>A multinomial regression analysis found that low couple verbal aggression and the absence of parent to child verbal aggression were associated with an increased likelihood of avoiding CP. The absence of couple violence increased the probability of …
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Food intake patterns and associations with postpartum weight retention in women living with and without HIV in Cape Town South Africa
… (0-5kg) and excessive weight retention (>5kg). Multinomial regression models examined associations between food intake, GWG and PPWR while controlling for confounders including parity, income marital status as well education level. Results: Overall, 82% of women were multigravida while the …
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