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 37 for “"Classification And Regression Tree"”.
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Using the classification and regression tree (CART) model for stock selection on the S&P 700
Traditionally, investment practitioners and academics alike have used stock fundamentals and a linear framework in order to predict future stock performance. This approach has been shown to have flaws as literature has shown that stock returns can exhibit non-linearity and involve complex relations …
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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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Clustering Response-Stressor Relationships in Ecological Studies
… encountered in water quality monitoring and ecological assessment. One concern for researchers and watershed resource managers is how the biological community in a watershed is affected by human activities. The conventional single model approach based on regression and logistic regression …
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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
… Scale for Children, Fourth Edition (WISC-IV) and the Personality Inventory for Children, Second Edition (PIC-2) as measures of cognitive and personality functioning for children with Fetal Alcohol Spectrum Disorder with comorbid Attention-Deficit/Hyperactivity Disorder (FASD/ADHD) and children …
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A Mathematical Modelling Approach to Analyze the Dynamics of Math Anxiety
… modeling framework for a deeper understanding of dynamics of math anxiety as a contagious process. Borrowing from theories of the spread of infectious disease, we develop two classes of mathematical models representing the spread of math anxiety in math gateway classes. The first …
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Use Of Multi-Gear Sampling To Improve Abundance Estimates Of Demersal Coregonids In The Laurentian Great Lakes
… Lake Whitefish (Coregonus clupeaformis) and Round Whitefish (Prosopium cylindraceum) play a vital role in both the Laurentian Great Lakes food webs and the commercial fishing industry. Hydroacoustic sampling has proven useful when performing stock assessments because hydroacoustics …
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Benefits of a Tree-Based model for stock selection in a South African context
… performance of a stock relative to its benchmark and the stock's fundamental factors in a classical linear framework. However, these models have empirically been found to be unsuitable for capturing higher-order relationships between a stock's return relative to a benchmark and its fundamental …
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The Influence of Heterogeneous Landscapes on Banded Mongoose (Mungos mungo) Behavior in Northern Botswana: Inferences about Infectious Disease Transmission
… by a complex suite of drivers with behavior and landscape dynamics contributing to epidemics across host-pathogen systems. However, our understanding of the interaction between landscape, behavior, and infectious disease remains limited. In the banded mongoose (Mungos mungo), a novel …
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Developing a data-driven model for dynamic reservoir operation using a combined hidden Markov-decision tree and classification tree algorithms
… challenges than before due to growing water demands and climate change, and thus understanding and improvement of reservoir operations are critical. This study extends the hidden-Markov-decision tree (HM-DT) model developed by Zhao and Cai (2020) and proposes a data-driven reservoir operation …
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A computational model of prosody for Yorùbá text-to-speech synthesis
This work examines prosody modelling for the Standard Yorùbá (SY) language in the context of computer text-to-speech synthesis applications. The thesis of this research is that it is possible to develop a practical prosody model by using appropriate computational tools and techniques which combines …
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Two Methodologies: How Well Can Universities Predict Retention
Student retention has been a long standing focus in higher education research with one of the earliest work dating back to 1937. Many researchers have proposed factors that affect a student's decision to depart from the university without successfully completing a degree. It is important to not …
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Use of Inbred Strains for the Study of Individual Differences in Pain Related Phenotypes in the Mouse
A wealth of genotypic and phenotypic information about inbred strains of laboratory mice is being collected and assembled in large databases. Sophisticated mining of this information can be useful in generation of hypotheses regarding the sources and nature of phenotypic variability, both …
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Predicting favorable habitat for bobcats (Lynx rufus) in Iowa
… (Lynx rufus), once common in the prairie-woodland mosaic of the Midwest, were largely extirpated from the Corn Belt region by 1900. In the 1990's, sightings of bobcats in Iowa began to increase, and they are now abundant in southern Iowa. With the dramatic expansion of rowcrop agriculture …
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Cyanobacterial Harmful Algal Blooms Vary Within and Across Years at Lake Fayetteville, Arkansas
… of cyanobacterial harmful algal blooms (HABs) and toxins are a nationwide concern. Although Lake Fayetteville likely experienced HABs for many years, microcystin, an algal toxin, was not monitored until 2019. The objectives of this study were to: 1) observe temporal variation in water quality …
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Systems Pharmacology – Machine Learning Approaches in Profiling Oncology Drug Candidates
… however, the main focus is on the drug discovery and application of machine learning approaches in profiling oncology drug candidates for a select subset of validated targets in the oncogenesis pathways. In this study, we built in-silico predictive models to predict prospective drug candidates …
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Evaluation, assessment, and determination of risk to high trophic level piscivores in the Mid-Atlantic: A spatial, biological, and comparative case study of mercury in Virginia bald eagle populations
… leucocephallus) as a function of the physical and anthropogenic landscape. Due to it's location in the food chain this species is susceptible to a wide range of contaminants (xenobiotics), particularly those that bioaccumulate and biomagnify as they move through the food chain. Previous …
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Topics in Tree-Based Methods
This work introduces methods and associated software for enhancing the interpretability of fitted models, with emphasis on classification and regression trees. We begin in Chapter 1 by describing novel techniques for growing classification and regression trees designed to induce visually …
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Object-Based Coastal Morphological Change Analysis Based on LiDAR and Hurricane Events
… hence they require further investigation and quantifying of coastal changes and responses. Light detection and ranging (LiDAR) is the most advanced technology to be widely used by researchers for coastal geomorphological studies. The purpose of this study is to apply an object-based …
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From Field to Home: Assessing Air Infiltration and Soil Track-in Transport Pathways of Agricultural Pesticides into Farmworkers' Home and Identifying Risk Factors for Increased In-Home Pesticide Levels
Farmworkers and their families may experience increased levels of agricultural pesticides in their homes due to both (1) take-home/soil track-in on shoes, clothes and skin, and (2) air infiltration from nearby agriculture fields via agricultural pesticide drift in the vapor phase or adhered to …
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Assessing indicators of forest sustainability using lidar remote sensing
… is developing a suite of attributes to assess and monitor forest sustainability. Each attribute is in turn evaluated using a variety of indicators. Recently, digital remote sensing technologies have emerged as both alternative and supplement to traditional monitoring techniques, with light …
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