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 30 for “"Redundancy Analysis"”.
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Strategies for Optimising DRAM Repair
… structures used to repair these defects. This redundancy is often implemented by the provision of excess memory capacity and programmable address logic allowing the replacement of faulty cells within the memory array. As the memory capacity of DRAM devices has increased, so has the complexity …
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Investigating Selection Criteria of Constrained Cluster Analysis: Applications in Forestry
… variability is a perquisite to more effective analysis and statistical testing. In this study, current techniques of partial redundancy analysis and constrained cluster analysis are used to explore how spatial variables determine structure in a managed regular spaced plantation. We will test …
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Small Mammal Species Richness And Relative Abundance Across The Elevational Gradient And Microhabitats Of Pine Mountain, Eastern Kentucky
… using 1 m2 quadrats at traps, then used redundancy analysis and generalized linear mixed (GLM) models to determine which conditions best explained variation in occurrence of small mammals. Most of the 95 small mammals I captured were at Bad Branch SNP and Blanton Forest SNP (79%). From …
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An investigation of land-use impacts on water quality and algal communities in the Nottawasaga River and low-order streams of the Nottawasaga Valley Watershed
… water quality parameters. Principal components analysis revealed that sites upstream of the MW exhibited higher values associated with nutrients and suspended sediments, while those downstream of it exhibited higher values associated with decreased riparian vegetation. Redundancy analysis …
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Macroinvertebrate Community Response to Spatial Patterns of Water Quality and Habitat within Mining-influenced Headwater Streams of Appalachia
… streams when collectively examining communities. Redundancy Analysis (RDA) and Variation Partitioning (VP) indicated water quality, habitat, and location do overlap in explanation of community variation although they often additionally explain variance in unique ways. Significant variables …
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Quantifying and Mapping Spatial Variability in Simulated Forest Plots
Spatial analysis is of primary importance in forestry. Many factors that affect tree development have spatial components and can be sampled across geographic space. Some examples of spatially structured factors that affect tree growth include soil composition, water availability, and growing space. …
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Using biological traits analysis to investigate ecological functioning of cold-water coral reefs
… using ordination, specifically, distance-based redundancy analysis (db-RDA). Traits were assigned to each taxon observed using fuzzy coding (0-3). Information for these trait codes was obtained from The Arctic Traits Database, Polytraits, MARLIN, and FishBase. Traits were assigned for 59 taxa …
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Molecular Evolution in the Mountains: Genetic Affinity and the Environment led to Adaptive Variation in the American Pika (Ochotona princeps)
… for genotype-environment associations using redundancy analysis and latent factor mixed models. Significant outlier alleles were identified from relationships with elevation, temperature, and precipitation and varying ancestral relationships in key adaptive genes were determined. I argue that …
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Unique variability between the Dean-Woodcock Emotional Status Examination and the MMPI
… by each measure. As hypothesized, canonical analysis indicated that the MMPI clinical scales and the D-WESE factors significantly overlapped across six significant canonical functions. A redundancy analysis suggested both the MMPI and the D-WESE provide a relatively large amount of unique …
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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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Multivariate Analysis of Canadian Water Quality Data
… of data were analyzed with principal component analysis (PCA) and cluster analysis to uncover structure and patterns in the data. The first matrix (Matrix A) had 107 sites located throughout Canada, and the following water quality parameters: pH, specific conductance (SC), and total phosphorus …
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Model-based Tests for Standards Evaluation and Biological Assessments
… for individual site differences. Tests based on analysis of variance methods are described for fixed effects and random effects models. The proposed model-based tests compare limits (tolerance limits or prediction limits) for the data with the known standard. When the sample size for the test …
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System Redundancy Evaluation for Steel Truss Bridge
… This could be achieved via considering system redundancy. Since there is no clear guidance in existing codified provisions for assessing system redundancy, this research is undertaken to develop simplified analysis techniques to evaluate system redundancy in truss bridges. The proposed system …
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Canonical Variate Analysis and Related Methods with Longitudinal Data
Canonical variate analysis (CVA) is a widely used method for analyzing group structure in multivariate data. It is mathematically equivalent to a one-way multivariate analysis of variance and often goes by the name of canonical discriminant analysis. Change over time is a central feature of many …
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Host Plant and Spatial Influences on the Natural Enemy Community Structure of a Host Specific Insect Herbivore
… autocorrelation among sample sites I conducted a Redundancy Analysis (RDA). I first used Principal Coordinates of Neighbor Matrices (PCNM) to generate explanatory variables representing orthogonal aspects of spatial structure within the sampling frame. The set of PCNM vectors that were …
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Optimizing a long-term monitoring program to track toxic cyanobacteria blooms in a Great Lakes estuary
… heterogeneous SLRE stations. Random forest analysis in conjunction with constrained ordination were used to examine relationships between phytoplankton and water quality. Warm, late-summer temperatures were an important predictor of cyanobacteria, but nitrogen and other drought-mediated …
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The investigation of regional ecology using 2km x 2km scale botanical distribution data
… were analysed using Two Way Indicator Species Analysis and Principal Components Analysis, explored using GIS, to examine major floristic distribution patterns. Environmental data were also examined using Redundancy Analysis. The strongest floristic trend was a human influence axis, arranged …
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Long-term spatiotemporal water quality and phytoplankton dynamics in Severn Sound, Ontario: a delisted great lakes area of concern
… divisions. Permutational Multivariate Analysis of Variance (PERMANOVA) revealed that station, along with period (before, during, and after delisting), and interaction of station and period were significant drivers of phytoplankton community composition. Using redundancy analysis, I …
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Using eDNA to construct community assemblages of amphibians at sites infected with Batrachochytrium salamandrivorans in the Netherlands.
… vertebrate primer set data with distance-based redundancy analysis, no significant relationship between Bsal presence and the amphibian community composition was found but further data is needed to confirm this finding. Potential amphibian or waterbird vectors of Bsal are explored and future …
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A study of biting midge populations and an assessment of Bluetongue virus presence in southern Ontario, with a visual dichotomous key to the North American genera of Ceratopogonidae
… Culicoides specimens were subjected to RT-qPCR analysis to test for BTV. The North American vector for BTV (Culicoides sonorensis) was collected at multiple localities, constituting the first record of this species in Ontario. Identity of C. sonorensis specimens was verified using molecular …
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