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 90 for “"Multivariate statistics"”.
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Application of multivariate statistics to fermentation database mining
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 1997.
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Machine Learning and Multivariate Statistics for Optimizing Bioprocessing and Polyolefin Manufacturing
… in computational science over the past decade, multivariate statistics and machine learning have become an integral part of the computerization of chemical processes. In this research, we look into using multivariate statistics, machine learning tools, and their combinations through a series of …
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On the use of multivariate statistics to validate global climate models
… Model (GCM). As a means to accomplish this, a multivariate statistical technique introduced for the first time to the atmospheric sciences, orthogonal Procrustes Target Analysis (PTA) was applied. A four dimensional analysis of the low frequency variability of observed geopotential height at …
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Analysis of fermentation spectroscopic data using multivariate statistics and pattern recognition
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 1998.
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A STUDY OF PROJECTION PURSUIT METHODS (MULTIVARIATE STATISTICS, DIMENSION REDUCTION, DENSITY ESTIMATION, GRAPHICS, ENTROPY)
A standard method for analyzing high dimensional multivariate data is to view scatter-plots of 2-dimensional projections of the data. Since all projections are not equally informative and the number of significantly different 2-dimensional projections in a high dimensional space can be large, there …
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Laser Electrospray Mass Spectrometry: Mechanistic Insights and Classification of Inorganic-Based Explosives and Tissue Phenotypes Using Multivariate Statistics
… This dissertation also expanded upon the use of multivariate analysis for the classification of samples that were directly mass analyzed without any sample preparation using LEMS. A novel electrospray complexation mixture using cationic pairing agents, a lipid, and sodium acetate enabled the …
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Empirical evaluation of the effectiveness of South Africa's marine protected area network in representing fish communities
… Africa, including sites in designated MPAs. Multivariate statistics were used to assess the extent to which MPAs represent the full range of fish communities in South African waters. Results show there is an increase in fish diversity from west to east along the South African coast.
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The roles of exotic and native tree species in preventing desertification and enhancing degraded land restoration in the north east of Libya. Reciprocal effects of environmental factors and plantation forestry on each other, assessed by observations on growth and reproductive success of relevant tree species, and environmental factors analysed using multivariate statistics.
… on soil depth have also been investigated. Multivariate statistical analyses of site, species and environmental data, using both cluster analyses and factor analyses have been performed, with the aim of determining what is influencing the species, crops or differentiating between the sites, …
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The Analysis of Corporate Governance Practices and Their Impact on Minority Shareholder Rights in the Thai Banking Sector
… and investors. The data were analysed using multivariate statistics and regression analysis.
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Dynamics of Biofilm Structure
… organization of the images. With tools from multivariate statistics, the large datasets of image analysis results could be translated into textural fingerprints. Each fingerprint is associated with a developmental state of the biofilm. By following the fingerprints of images over time, we …
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Diagnostic Neuropathology of Brain Tumours using Biophotonics and Spectrometry
… ATR-FTIR. The spectra was then analysed using multivariate statistics. In the elemental profiling study serum and tissue samples from 55 patients with brain tumours were collected and analysed using ICP-MS. The elemental data was then evaluated using multivariate statistics to investigate …
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Gestión de la calidad de los procesos de enseñanza en la educación pública en el nivel de educación básica en Bogotá-Colombia.
… 150 teachers; Data processing was developed with multivariate statistics by means of multiple correspondence analysis. The teaching´s evaluation results processes identified in each locality factors linked to teaching processes contributing to the construction of institutional improvement plans …
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Exploring Factors Impacting Veterans' Hypertension Control
… Data were analyzed by univariate, bivariate and multivariate statistics. The study found that self-reported medication adherence to antihypertensive drugs (p < .001) was an independent predictor to veterans’ final systolic blood pressure. Future HTN control research may focus on some …
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Fault Detection and Diagnosis for Large -Scale Systems
… costs. Data-driven techniques based on multivariate statistics such as principal component analysis and partial least squares have been applied in many industrial processes and their effectiveness for fault detection is well-recognized. There is an inherent limitation on the ability for …
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Comparisons in the cranial form of the Blackfeet Indians: A reassessment of Boas' Native American data
… of members of the Blackfeet Nation using multivariate statistics. The tests are designed to detect differences between the three tribes of the Blackfeet Nation (the Piegan, the Blood, and the Blackfeet). Blackfeet children sent to the Carlisle Indian School in Carlisle, PA are compared to …
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Comparisons in the cranial form of the Blackfeet Indians: A reassessment of Boas' Native American data
… of members of the Blackfeet Nation using multivariate statistics. The tests are designed to detect differences between the three tribes of the Blackfeet Nation (the Piegan, the Blood, and the Blackfeet). Blackfeet children sent to the Carlisle Indian School in Carlisle, PA are compared to …
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Implementation of a cross-platform automated Bayesian data modeling system
… is a quintessential task in data science and multivariate statistics. The CrossCat model class provides an automated solution by using Bayesian Non-Parametric processes to identify dependencies within the data without any user input necessary. This thesis provides an implementation of the …
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Camera traps as sensor networks for space-time exploration of terrestrial mammal communities
… studied. Using resource selection functions and multivariate statistics, this chapter showed that the strength of affinities, which mammals developed with specific terrain roughness, varied among species. It also enabled the recognition of subtle and continuous nuances in the spectrum of habitat …
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Metabolomics of desiccation tolerance in Xerophyta humilis
… primary and secondary metabolites in the plant. Multivariate statistics identified a subset of metabolites that were significantly up- or down-regulated in response to water deficit stress. These metabolites both confirmed existing observations about the metabolic response of X. humilis to drying …
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Canonical correlation of shipping forward curves
… main shipping forward curves are analyzed using multivariate statistics after removing the volatility distortions dictated by the Samuelson hypothesis. Principal Components Analysis and Canonical Correlation analysis were used to demonstrate how the task of explaining the various shipping forward …
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