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 13 of 13 for “"Outlier Analysis"”.
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Text mining with word embedding for outlier and sentiment analysis
… text data. Word embedding is an emerging text analysis technique that leverages the fine-grained statistics of context information to map each word to a vector in the embedding space which reflects the semantic proximity between words. Embedding techniques not only enrich the statistical …
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Constructing and Validating Parallel Forms of Performance-Based Writing Prompts in an Academic Setting
… subgroups. Furthermore, the results of the outlier analysis on both examinees and raters revealed that the three new writing prompts are indeed valid test instruments for the EPT test-takers and, in general, the EPT raters do interpret the rating rubrics consistently. The findings on prompt …
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A Data mining study of ranking within social networks
… We use data mining and statistical analysis to evaluate several measures, including a new measure based on the H-index, for ranking participants within social networks against established benchmarks for university programs. We find that prominence within social networks correlates in …
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Assessing genomic variation in the hopbush, Dodonaea viscosa, to investigate micro-evolution and adaptation
… of the seven subspecies using genetic structure analysis as well as network-based and Bayesian-based methods to assess phylogenetic relationships and show that defining subspecies for D. viscosa based on morphology is not wholly accurate or useful (chapter three). A consideration of a …
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A Population Genomic Study of Mutton Snapper (Lutjanus analis) Throughout Florida and the Caribbean
… scaffolding and applied in population genomic analysis. Mutton snapper (total sample size 724) were collected between 2021 and 2025 from coastal waters off Belize, Puerto Rico, St. Thomas, Martinique, and three areas around the Florida peninsula. Samples were assayed using dd-RAD sequencing, …
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Bayesian Model Averaging and Variable Selection in Multivariate Ecological Models
… contrary to the practice of conventional data analysis (such as, for example, stepwise model selection). In addition, variable activation probabilities can be obtained for each variable of interest. This dissertation is aimed at connecting BMA and various ramifications of the multivari-ate …
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Deep learning of regulatory sequence variation in Pulmonary Arterial Hypertension
… filtered and aggregated for over-representation analysis, comparing cases with controls. These scores were used in an outlier analysis using the Fisher's exact test and a sweep across the landscape of 1,135 PAH gene-associated enhancers, using SKAT-O. After p-value adjustment, over 80 regions …
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Nanofiltration Rejection of Contaminants of Emerging Concern from Municipal Water Resource Recovery Facility Secondary Effluents for Potable Reuse Applications
… 3.1.3 was utilized for property collinearity analysis, outlier analysis, and regression modeling. The Pearson correlation method was utilized for selection of the most vital predictor variables for modeling. The resulting Quantitative Molecular Properties Model (QMPM) predicted the NF …
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Assessment of seismic damage to civil structures using statistical pattern recognition techniques and time series analysis
… damage to a structure was predicted based on analysis of structural and ground motion properties. Secondly, damage to a structure was detected and assessed by analysing the structural response under dynamic excitation. In the first approach, basic structural and ground motion properties were …
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Application of vibration-based damage detection techniques to civil infrastructure : incorporating uncertainty quantification
… namely a probability density approach and an outlier analysis approach. These feature discrimination techniques were statistical models that involved Monte Carlo simulations for uncertainty quantification. The frameworks for the application of non-model-based vibration-based damage detection …
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Prediction and Anomaly Detection Techniques for Spatial Data
… observations, and complicates the spatial analysis. This research focuses on the construction of efficient and effective approaches for three main mining tasks, including spatial outlier detection, robust inference for spatial dataset, and spatial prediction for large multivariate …
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AI Methods for Anomaly Detection in Cyber-Physical Systems: With Application to Water and Agriculture
… robust cybersecurity measures and effective Outlier Detection (OD) methods. These methods are essential to prevent infrastructure failures, reduce environmental waste, and mitigate damages caused by malicious activities. Existing approaches often lack the integration of multiple operational …
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Gene misexpression in humans
… these gaps, I conducted the first genome-wide analysis of gene misexpression using bulk RNA-seq data from 4,568 blood donors from the INTERVAL study. In chapter 2, I aimed to assess the prevalence of gene misexpression across genes and samples, identify the characteristics of genes that …