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 21 for “"Rank-based"”.
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Rank Based Anomaly Detection Algorithms
… have been formulated for such problems, usually based on formulating a problem-dependent heuristic or distance metric. This dissertation proposes anomaly detection algorithms that exploit the notion of ``rank," expressing relative outlierness of different points in the relevant space, and …
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Rank-Based Procedures for Some Multivariate Problems
The remainder of my thesis studies multivariate symmetry. Several well-studied parametric and nonparametric tests for univariate symmetry are extended to multivariate settings. We study the asymptotic distributions of these multivariate tests, and we propose a new criterion to compare their …
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Rank-based Two Sample Tests Under a General Alternative
… statistics. In this dissertation, I first study rank based formulation of univariate two-sample distribution-free tests. One form of the test statistic is the average of between-group distances of ranks. The other form of the test statistic is the difference between the average of between-group …
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Low-rank Based Algorithms for Rectification, Repetition Detection and De-noising in Urban Images
… detection on 2D urban images, using novel low-rank based techniques. Repeated patterns (such as windows, tiles, balconies and doors) are prominent and significant features in urban scenes.</p> <p>Detection of the periodic structures is useful in many applications such as photorealistic 3D …
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Effect of Social Rank on Pig Performance and Feeding Behavior With Conventional and Electronic Feed Intake Recording Equipment
Previous studies determined and applied a rank to pigs based on specific agonistic behaviors and did not determine the effect of rank on feed intake, growth performance, and feeding behavior. This experiment was conducted to determine the effect of rank for pigs based on wins using two types of …
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Modeling NatureServe subnational conservation status ranks for Tennessee vascular plants
Conservation status ranks measure the potential risk of extinction for species at the global, national, and subnational levels, taking into account rarity, threats, and population trends. This study used the NatureServe system to generate provisionary subnational conservation status ranks (s-ranks) …
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Buchi containment and size-change termination
… verification. Early solutions using a Ramsey-based combinatorial argument have been supplanted by rank-based constructions with exponentially better bounds. In 2001 Lee et al. presented the size-change termination (SCT) problem, along with both a reduction to Buchi automata and a Ramsey-based …
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Principal component analysis and classification of discrete and mixed feature datasets using Gaussian copula
… methods. In this thesis, we proposed a model based on the Gaussian copula to perform dimensionality reduction and classification for datasets with purely discrete or mixed features. In Chapter 3, we developed a scale invariant and data contamination robust principal component analysis (PCA) …
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Some Model-Based and Distance-Based Clustering Methods for Characterization of Regional Ecological Stressor-Response Patterns and Regional Environmental Quality Trends
… in regression relationships, we use model-based clustering procedures with class-specific regression models. Units for clustering are taken to be basins, or combinations of basins and ecoregions. We rely on a Bayesian formulation and sample the posterior distribution using a Markov chain …
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Estimation and Testing Methods for Monotone Transformation Models
… transformation function as well. The smoothed rank-based estimate of the transformation function is uniformly consistent and converges weakly to a Gaussian process which is the same as the limiting process for that without smoothing. An explicit covariance function estimate is obtained by using …
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Augmenting Dynamic Query Expansion in Microblog Texts
… identifying terms relevant to a target domain based on an incomplete query input. With the explosive growth of online media, such tools are essential for efficient search result refining to track emerging themes in noisy, unstructured text streams. It's crucial for large-scale predictive …
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On testing the change-point in the longitudinal bent line quantile regression model
… testing of the change-point problem using rank-based inference. The proposed test in this thesis has several advantages over the existing inferential approaches. Most importantly, it circumvents the difficulties of estimating nuisance parameters (e.g. density function of unspecified error) …
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Learning with structured decision constraints
… we consider an algorithmic framework that is based on minimizing estimated conditional risk functions. With this approach, we first estimate the conditional expected loss (i.e., conditional risk) function by regression, and then minimize it to predict an output. We analyze statistical and …
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Untangling the effects of residential segregation on individual mobility
… literature seeks to characterize. We utilize two rank-based mobility models that implicitly incorporate geographic properties of population distributions to understand the effects of residential segregation on mobility patterns and examine the effect of demographic considerations on model …
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Multivariate Statistical Analysis In Single Cell Transcriptomics
… notion of similarity, and introduce a rank-based function on probability spaces that can be utilized to define cell-to-cell distance, and subsequently cluster and identify niche cell groups. We demonstrate that this function is a valid kernel method, and can thus find broad utility in …
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Habitat relationships for alewives and blueback herring in a Virginia stream
… These streams were each given an overall rank based on answers to the questionnaire. The watershed characteristics of these streams were determined from topographic maps, land use data, and digital line graphs. Trends in fish use of streams were associated with stream size, and proportions …
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Contributions to Robust Methods: Modified Rank Covariance Matrix and Spatial-EM Algorithm
… analysis, canonical correlation analysis are based on sample covariance matrix. Those moment-based techniques are optimal (most efficient) under the normality distributional assumption. They are, however, extremely sensitive to outlying observations, susceptible to small perturbation in data …
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Enhanced evaluation of RNA expression in Esophageal Cancer tissues: Combining Microarray and RNA-Sequence approaches
… For the microarray component, Affymetrix-based datasets were harmonised through rigorous preprocessing and subjected to a rank-based meta-analysis using a modified RankProd framework to accommodate large-scale data integration. Ranked gene lists were subsequently analysed using SetRank, a …
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Organizational Readiness, Resistance and Race: Examining Faculty Attitudes toward Faculty Diversification in Higher Education
<p>The national demographic is changing, and institutions of higher education must prepare to change if they are to meet the needs of their new population. Identifying change readiness and potential resistance factors are primary steps in motivating organizational change. This study will …
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Regional climate model evaluations of long-term changes in total precipitation and high precipitation events
… events were calculated by using Kendall’s tau based slope estimator (Theil-Sen regression), a powerful alternative to the simple least squares linear regression slope. The Mann-Kendall Rank- based nonparametric significance test was applied to evaluate the statistical significance of the trends …
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