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 81 for “"regression modelling"”.
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Predicting hydrates plugging risk in subsea gas pipeline: CFD, analytical and linear regression modelling.
This study addresses critical limitations in managing hydrate plugging risk for gas pipelines. The main challenges lie in accurately predicting hydrate deposition rates and associated pressure drops. To overcome these limitations, the study developed and validated a 3D computational model using …
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Estimating Poverty from Aerial Images Using Convolutional Neural Networks Coupled with Statistical Regression Modelling
… Neural Network (CNN) coupled with statistical regression modelling can be used to estimate poverty from aerial images supplemented with national household survey data. This provides a more frequent and automated method for updating data that can be used for policy making. This aerial poverty …
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Regression modelling of cervical cancer and Chlamydia incidence in the context of national screening programmes
… demonstrated the use of mathematical and spatial modelling to explore the risk factors through various regression models, to explore the relation between socio-economic conditions and disease incidence, and also other techniques including classification analysis, decision models, and simulation to …
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Divide and recombined for large complex data: Nonparametric-regression modelling of spatial and seasonal-temporal time series
… I briefly introduce one type of nonparametric regression method, namely local polynomial regression, followed by emphasis on one specific application of loess on time series decomposition, called Seasonal Trend Loess (STL). The chapter is closed by the introduction of D\&R; (Divide and …
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Explaining cost overruns in highway projects : a geo-spatial regression modelling and cognitive mapping of latent pathogens and contextual drivers
… quantitatively converge in a triangulatory log-regression model. The results of regression analysis identified that latent pathogens such as heterogeneous ground conditions and non-adherence to geotechnical best practices, amidst a wide array of unanticipated social constructs, account for the …
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An investigation into Functional Linear Regression Modeling
… to focus more specifically on Functional Linear Regression Modelling (FLRM), which is an extension of Multivariate Linear Regression Modeling. The problem of constructing a Functional Linear Regression modelling with functional predictors and functional response variable is considered in great …
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Comparisons of risk factors for violence in defendants referred for psychiatric assessment
… assessment. b. to assess, by logistic regression modelling, the relative importance of the significant risk factors. All defendants admitted to the Forensic Psychiatry Unit at Valkenberg Hospital for 30 day pre-trial assessments over a 6 month period were entered. All subjects were …
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Improving automotive battery sales forecast
… between temperature and sales. Using regression modelling, we found that there is a quadratic relationship between temperature and battery sales. We validated the model by comparing the actual and predicted sales for various geographies and times. We concluded that the model is more …
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Educated There, But Employed Here: The Unique Experiences of Internationally Educated Nurses
… conducted secondary analyses (including logistic regression modelling) of the NSSRN dataset to examine the intrinsic, extrinsic, and key demographic factors that may influence IENs’ obtaining master’s degrees. Further, to see how these variables operate differently for US-educated versus IENs, the …
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Exploring Factors Influencing Children's Use of a Free Recreation Access Pass: Does Geography Matter?
… determinants on pass use using logistic regression. Findings from service provider interviews revealed potential barriers to pass use related to participant knowledge, economic means, and geographic access. Spatial analysis found both hot and cold spot clusters of pass use, and logistic …
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Associations between Selected Dietary Factors, Selected Obesity-Related Metabolic Markers (Leptin, C-peptide, and High-sensitivity C-reactive Protein), and Lung Cancer: A Matched Case-Control Study Nested in the Prospective PLCO Trial
… Cancer Screening Trial were analyzed. Linear regression models were used to describe the associations between quantitative variables. The relationships between variables of interest and lung cancer were studied by logistic regression modelling. Multivariable fractional polynomial (MFP) models …
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New statistical perspectives on efficient Big Data algorithms for high-dimensional Bayesian regression and model selection
… of computationally efficient procedures for regression modelling with datasets containing a large number of observations. Standard algorithms be prohibitively computationally demanding on large $n$ datasets, and we propose and analyse new computational methods for model fitting and selection. …
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The Influence of Higher Education on Promotional Outcomes in the New Jersey State Police
… analyses were conducted using binary logistic regression modelling. The participant data examined in this study, which represents a total population sample, pertained to 3,515 enlisted members of the New Jersey State Police considered for promotion during one, or both, of the promotional events …
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An assessment of the relationship between Global Competitiveness Index scores and national GDP per capita growth rates
… patterns, followed by stepwise multiple regression modelling on the total sample and the resulting clusters in order to assess impacts on adjusted R-squared values. Regressions were performed on stock and flow values for twelve country competitiveness variables. The results show that the …
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Using electronic methods of adherence monitoring and therapeutic drug monitoring (TDM) to eliminate discordance between antiretroviral adherence and virological failure
… or impact on virological outcome (using regression modelling). Five other measures of adherence were captured prospectively during the study: selfrecall (SR), clinic-based pill count (CPC), pharmacy refill data (PR-average or PR-gaps) and efavirenz concentration. The predictive value of …
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RELIGION AS A CULTURAL CONTEXT OF INTOLERANCE: ASSESSING THE INFLUENCE OF CULTURAL(IZED) FORMS OF RELIGION ON ATTITUDES TOWARDS IMMIGRATION ACROSS EUROPEAN COUNTRIES
… the first two studies, where multilevel regression modelling was employed to explore cross-contextual differences in the relationship between intolerance and religiosity. The third study adopted a small-scale comparative design, employing linear regression modelling separately on samples …
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Ethical Challenges in Cluster Randomized Trials
… were examined using multivariable logistic regression modelling. Information on ethical challenges encountered by CRT researchers in practice was obtained by analyzing semi-structured interviews with experienced CRT investigators. Two normative questions, “Who is the research subject in …
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The relationship between pupils’ spiritual development and school ethos: a survey of 10-11 year old children from a sample of primary schools in Northern Ireland
… primary schools in Northern Ireland. Multilevel regression modelling is used to explore relationships between spiritual well-being and a number of explanatory variables including school ethos. Analysis shows that there is a relationship between spiritual well-being of pupils and school ethos. …
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Model-based optimisation approaches for system energy performance improvement and evaluation
… optimisation approaches for energy system modelling; ii) To apply obtained modelling methodologies in energy performance optimisation; and iii) To apply obtained modelling methodologies in energy performance evaluation. In order to achieve these objectives, the relevant theoretical …
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Aquatic insects as an energetic subsidy to riparian consumers in the Olman River Basin, Alberta
… use in stable isotope analysis. Stable isotope modelling was then used to evaluate the proportional contribution of aquatic insects to riparian spider and beetle diets. Carbon analysis showed an overall aquatic insect contribution of 25 % and 18 % for spiders and beetles, respectively; while …
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