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 tree"”.
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Using the classification and regression tree (CART) model for stock selection on the S&P 700
… on the S&P 700 index using a Classification and Regression Tree (CART) built during an in-sample period and then used for predicative purposes during an out-of-sample period deliberately comprising both a period of financial crisis and recovery. For these periods, various portfolios and …
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A Mathematical Modelling Approach to Analyze the Dynamics of Math Anxiety
… approach, which utilizes the classification and regression tree models to identify key factors associated with math anxiety. These regression tree models include factors such as gender, academic level, number of hours studied, motivation, and confidence. In conclusion, the present work lays the …
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Foster Care Placement Decisions: Is Race a Factor
… administrative data were analyzed using logistic regression analysis and Classification and Regression Tree (CART) analysis. Data revealed that the number of investigator home visits, the number of other investigator contacts, the number of previous indicated allegations, and infancy were the …
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The Locations and Drivers of Herpetofaunal Wildlife Road Mortality on Two Highways within the Frontenac Arch, Ontario
… not as significantly clustered as on Highway 2. Regression tree analyses showed that, across roadways, wetland and water-related variables are important factors influencing the location of frog and toad, turtle, and watersnake mortality. An overarching trend from the results of the regression …
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Bayesian treed distributed lag models
… develop novel formulations of Bayesian additive regression trees that allow for estimating a DLM. First, we propose treed distributed lag nonlinear models to estimate the association between weekly maternal exposure to air pollution and a birth outcome when the exposure-response relation is …
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Clustering Response-Stressor Relationships in Ecological Studies
… The conventional single model approach based on regression and logistic regression usually fails to adequately model the relationship between biological responses and environmental stressors since the study samples are collected over a large spatial region and the response-stressor relationships …
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Exploring Transit Ridership Using Census, Routing & Scheduling, and Stop Characteristic Data
… and applies transit-system-specific regression tree models that identify and prioritize transit system improvements through analysis and application of ridership, Census, routing and scheduling, and transit stop characteristic data. Regression trees identify and rank independent …
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Responder Identification in Clinical Trials
… the positive and negative responders (e.g. via regression tree or bump hunting analysis, or via the suggested stabilized bump hunting procedure) The method is evaluated with a simulation study and applied on the EMIAT data se
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Characterizing population pharmacokinetic/pharmacodynamic relationships in pulmonary tuberculosis infected adults using nonlinear mixed effects modelling
… Carlo simulations. Lastly, Classification & Regression Tree (CART) analysis techniques were used to identify factors predictive of 2-month culture conversion or 24-month long-term composite outcome. Consistent with literature findings, approximately 73.0, 43.0, 0.3, 6.0 and 0.0% of patients …
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Comparing and contrasting cognitive and personality functioning in children with fetal alcohol spectrum disorder and children with attention-deficit/hyperactivity disorder
… documented the utility of the Classification and Regression Tree procedure as a useful diagnostic tool in the differential diagnosis of FASD versus ADHD using commonly used cognitive and personality measures.
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Sub-Pixel Classification of Historical and Current Marsh Habitat For the Eastern Mississippi Gulf Coast Using Remotely Sensed Images
… imagery will be utilized to complete a regression tree based on the digital numbers and predictions will be completed by comparing multiple methods including pruning, bootstrapping and random forest. Then an image differencing will be performed to show areas of marsh change. </p></p>
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Soil PH and clay content associated with chronic wasting disease in white-tailed deer in northern Illinois
… contaminated environments. I built a boosted regression tree model that accurately predicted (AUC = 0.954) the probability of CWD presence in northern Illinois based on soil characteristics (soil texture, pH, cation exchange capacity, organic matter, and water content), then used the outcome …
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A comparison of machine learning methods for risk stratification after acute coronary syndrome
… of over 4200 patients, we developed logistic regression, neural network, and regression tree models to risk stratify patients for one-year cardiovascular death post ACS. The resulting models were highly predictive of risk compared to the TIMI score. Our findings highlight the efficacy of using …
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Temporal Changes in Symptom-Behavior Dynamics: A Process-Focused Network Modeling Approach
… (i.e., the Boruta feature selection and regression tree algorithms) in order to more accurately capture processes of change at the individual level at both baseline and post-treatment. Next, group- and sub-group level processes were derived by identifying commonalities within individual …
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Marine alien species in Western Cape harbours, South Africa: A tool for stategically focusing monitoring efforts
… of harbours was obtained through the use of regression tree models utilising CART (Classification and Regression Trees).
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Use Of Multi-Gear Sampling To Improve Abundance Estimates Of Demersal Coregonids In The Laurentian Great Lakes
… data were used to develop a Classification and Regression Tree (CART) model to assign hydroacoustic targets (echoes) to species. The method was used to estimate density and biomass of Lake Whitefish of which there was an estimated 4.1 million kilograms (4,100 metric tons) (17.4 kg/ha) (95% CI: ± …
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Benefits of a Tree-Based model for stock selection in a South African context
… studies the use of Classification and Regression Tree (CART) models for stock selection within the South African context, with the focus being on the period from when the Global Financial Crisis began in early 2007 until December 2012. By utilising four types of portfolios, a CART model …
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The Influence of Heterogeneous Landscapes on Banded Mongoose (Mungos mungo) Behavior in Northern Botswana: Inferences about Infectious Disease Transmission
… behavior. Cluster and Classification and Regression Tree (CART) analysis of active den sites (n= 308, across 23 troops) identified the important characteristics of dens across land use areas. In human-modified environments, man-made den sites persisted longer than did natural dens which …
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Developing a data-driven model for dynamic reservoir operation using a combined hidden Markov-decision tree and classification tree algorithms
… This study extends the hidden-Markov-decision tree (HM-DT) model developed by Zhao and Cai (2020) and proposes a data-driven reservoir operation model (DROM). The HM-DT model is first applied to individual reservoirs to derive sets of representative operation modules. Then a module …
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A computational model of prosody for Yorùbá text-to-speech synthesis
… framework is implemented using the Relational Tree (R-Tree) techniques (Ehrich and Foith, 1976). R-Tree is a sophisticated data structure that provides a multi-dimensional description of a waveform. A Skeletal Tree (S-Tree) is first generated using algorithms based on the tone phonological …
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