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 92 for “"logistic model"”.
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Recent versus lifetime intermetropolitan Brazilian migration: Estimates of a multinomial logistic model
This study examines interregional Brazilian migration in the form of metropolitan migration. The main intents of this are: to verify the effect exerted by a set of would-be migration determinants (explanatory variables) on migration decision, and to compare the responses of migrants, given their …
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Development of a multivariate logistic model to predict bicycle route safety in urban areas
… develop an objective bicycle route safety rating model based on injury severity. The model development was conducted using a logistic transformation of Jersey City's bicycle crash data for the period 1997-2000. The resulting model meets a 90% confidence level by using various operational and …
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Development of A Bayesian Joint Logistic Model to Better Study The Association Between Haplotypes and Disease
… in cancer susceptibility and development. This model will be flexible enough to handle not only haplotypes of any size, but also a variety of covariates. I will then apply this method to three cancer-related data sets (Hodgkin Disease, Glioma, and Lung Cancer). <strong>I hypothesize that there …
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Bayesian Expectation-Maximization-Maximization: a latent-mixture-modeling-based Bayesian algorithm for the three-parameter logistic model
… Bayesian algorithm for the three-parameter logistic model (3PLM). The Bayesian EMM takes full advantage of both the EMM and the Bayesian approach. The BEMM not only successfully solves the issue of inaccurate estimates for few items in the EMM algorithm, but also alleviates the negative …
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From expectation-3-maximization to bayesian expectation-3-maximization: A latent mixture modeling-based bayesian algorithm for the 4-parameter logistic model
There is renewed interest in the four-parameter logistic model (4PLM), but the lack of a user-friendly calibration method constitutes a major barrier to its widespread application. In the present study, this researcher reformulated the 4PLM from a latent mixture modeling view and developed the …
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Survival equations for loblolly pine trees in cutover, site- prepared plantations
… growing under certain conditions was modeled. A particular algorithm SCREEN was used to fmd the best set of predictors variables. This algorithm was specially created to be used when the dependent variable can take only two values like in this binary case (dead or alive tree). The …
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Optimal experimental designs for two-variable logistic regression models
Binary response data is often modeled using the logistic regression model. Experimental design theory for the logistic model appears to be increasingly important as experimentation becomes more complex and expensive. The optimal design work is extremely valuable in areas such as biomedical and …
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Comparison of parametric models using right censored data for breast cancer patients
… data by using three different parametric models; exponential model, Weibull model, and log-logistic model. Data of breast cancer patients from general hospital in Johor Bahru were used to illustrate the right censoring data. When analyzing the breast cancer data, all three distributions …
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Dichotomous and polytomous item response model estimation using the marginal maximum likelihood and the EM algorithm
… variable techniques specifically designed to model the interaction between a respondent's latent trait/ability and the test items' characteristics such as difficulties, discrimination powers and guessing liabilities. The Item Response Theory framework emphasizes on how responses can be …
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Properties Of Logistic Regression Models With Correlated Observations
The correlated logistic regression model, a new model for correlated binary observations in the presence of covariates, is introduced and its relationship with other logistic models established. Comparisons are made with other models for correlated binary outcomes, particularly those that allow …
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Enhanced dynamic security assessment for power system under normal and fake tripping contingencies.
… of accuracy and computational time. The hybrid logistic model tree (hybrid LMT) approach proposed in this study combines the symmetrical uncertainties (SU) algorithm and the logistic model tree (LMT) algorithm. The training dataset is built by applying all possible contingencies during normal …
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Biooxidation of a gold bearing arsenopyrite/pyrite concentrate
… continuous pilot plant data in the light of the logistic model. Furthermore, the possibility of predicting continuous biooxidation plant performance from batch data was considered. The batch testing was carried out on five narrowly sized fractions of Fairview concentrate, as well as on the bulk …
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Comparison of three scoring procedures within context-dependent item sets
… polyweighting and the three-parameter IRT logistic model. Differences in reliability estimates for the stand-alone and item set treatment were determined for each scoring procedure and compared. These three scoring procedures were also compared to determine which procedure yielded the …
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A stepwise test characteristic curve method to detect item parameter drift
… used existing methods under the three-parameter logistic model. Results show that the new method performed well in IPD detection.
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Exploring the COVID-19 cases around the World
… research project is threefold: i) finding the model with least error for the estimation of the skewness, scale, inflection, and carrying capacity parameter. We will first try to fit Skew Log Logistic Model to the cumulative cases data for the define first wave period for each country without …
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An Adaptive Bayesian Approach to Bernoulli-Response Clinical Trials
… dose allocation. In this paper a four-parameter logistic equation is used to model the outcome of Bernoulli-response clinical trials. A Bayesian adaptive design is used to fit the logistic equation to the dose-response curve of Phase II and Phase III clinical trials. Because of inherent …
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Regional seismic risk of railway system including derailment consequences
… of railway networks, a derailment consequence model and a regional approach are developed The consequence model estimates the casualty and fatality rates for passengers as a function of train speed and includes two sub-models. The first sub-model, which is for the case when the train remains in …
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Validating Forecasting Strategies of Simple Epidemic Models on the 2015-2016 Zika Epidemic
… global health and the well-being of individuals. Model-based forecasts enable public health officials to test what-if scenarios, evaluate control strategies, and develop informed policies to allocate resources effectively. Model selection is a pivotal aspect of creating dependable forecasts for …
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Constructing a Bayesian Spatial Presence-Absence Model for Animals in the Serengeti National Park
… with their environment. We fit a hierarchical logistic model to predict the presence or absence of a particular species in a specific area using environmental covariates. Additionally, we utilized centered spatially dependent terms; a term accounting for species dependence from neighboring …
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