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 48 for “"multivariate methods"”.
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Novel Applications of Multivariate Methods for Exploring Personality in African Elephants
… in mind, I approached elephant personality as a multivariate problem. I used behavioral observations collected from female elephants in Addo Elephant National Park, South Africa. Instead of grouping behaviors into subjective categories prior to analysis (as is often done in studies of elephant …
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Multivariate Methods for the Study of Beta-lactam Resistance in Streptococci
… they have also highlighted its complex, multivariate nature, involving correlations both within and between drug classes. These studies have driven the development of methods for the analysis of genotypes, but tools for the study of resistance phenotypes have remained limited, …
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Multivariate methods for the statistical analysis of hyperdimensional high-content screening data
… cell line. Robust univariate hit identication methods and manual network analysis identied an isoform of BRD4, a bromodomain and extra-terminal domain family member, as an endogenous inhibitor of DDR signaling. However, despite the plethora of data generated from our and other HC screens, …
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Single-cell analysis of hematopoietic cell fate on niche-mimetic platforms using Raman microspectroscopy
… longitudinal analysis of cell fate in culture. Methods that allow rapid, label-free and location-specific characterization of the differentiation stages of individual cells would enable the rapid development of concurrent screens of the effects of niche components and their combinations on stem …
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Multivariate nonparametric trend assessment with environmental applications
… environment, the problem is statistically a multivariate problem. In this work, methods for analyzing multivariate environmental trends are presented and illustrated on 17 years of approximately monthly observations on 5 water quality variables from southwestern Virginia, USA. Multivariate …
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Multivariate Outlier Mining Using Cluster Analysis: Case Study - National Health Interview Survey
… in many statistical analyses, especially in multivariate cases. Outliers may exert undue influence on outcomes of the analysis. In most cases, it is a big challenge to reveal the pattern of the outliers and the "outlyingness". There are several approaches and methods to detect anomalous data …
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The Sociophonetics of Vowel Height: A Study of Variation in Tehran Persian
… factors, first individually and then using multivariate methods. Results reveal that VHV in TP is conditioned by both linguistic and extralinguistic (stylistic and social) considerations, with phonetic context, style and education as primary predictors. Using the term Bookish Persian, this …
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A Quantitative Study of Drug Recrystallization in Drug-In-Adhesive Transdermal Patches Using Vibrational Spectroscopy
… approach for crystallization quantification. The multivariate methods were validated via a fit-for-purpose approach. The results of this work demonstrated that a reliable crystalline content quantification method can be developed using vibrational spectroscopy for DIA transdermal patches. The …
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The behavior of English and French Canadians towards the environment
… and demographics. Through the use of various multivariate methods we were able to come up with some interesting conclusions. The results indicated that although the French Canadians in our sample are more likely to have favorable attitudes towards environmental issues, they are also less …
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Determination of factors that influence digit preference: A Case study of South African Census 2011 Age-Sex date
… South African census 2011 Age-sex data. Various methods were applied to examine the objectives of the study. The Visual Inspection methods (Line graph and Population Pyramid), Statistical methods (Age Ratio and Sex Ratio) and multivariate methods (Generalized linear model, Principal Component …
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Multivariable analysis of spectral measurements for the characterization of semiconductor processes
… This thesis focuses on the analysis of multivariate methods and optical sensors for characterizing endpoint for two key processes: plasma etch and chemical mechanical polishing (CMP). To extract meaning information in real-time from the volumes of acquired optical sensor data, …
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Morphometric Characterization of a <i>Mercenaria</i> spp. (Bivalvia) Hybrid Zone: Paleontological and Evolutionary Implications
… hybrid zone using Bookstein coordinates and multivariate methods to answer two questions: (1) can hybrid <i>Mercenaria</i> spp. individuals be identified based on morphology alone, and (2) would a <i>Mercenaria</i> spp. hybrid zone be recognizable in the fossil record? Multivariate …
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Factors influencing salt-induced weathering of building sandstone.
… involved statistical analysis and especially multivariate methods of the damage salts against the environmental data. In general, the indicators selected showed the following trends independently of having a control (not cleaned) or a chemical cleaned sample: porosity decreased, and most ions …
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Monitoring Peatland Damage and Restoration Using Testate Amoebae as Indicator Organisms
… were analysed using a variety of statistical and multivariate methods. Data on water table and moisture conditions were also analysed and the results of the two were compared. The results showed that testate amoebae communities responded to hydrological conditions but depth to water table was not …
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Spatial point process modelling of a biodiverse plant community
… for the exploratory data analysis and derives multivariate methods for spatial point pattern data for the first time. In addition, three models of increasing complexity are fitted to the data and their suitability is assessed.<br/><br/>This thesis has provided a number of statistical tools that …
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Statistical aspects of elastic scattering spectroscopy with applications to cancer diagnosis
… classification of tissue as normal or abnormal. Multivariate statistical methods have been used to tackle the problems, among which principal component discriminant analysis and partial least squares discriminant analysis are the most explored throughout the thesis as general tools for supervised …
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A comprehensive analysis of long bone curvature in Neanderthals and modern humans using 3D morphometrics
… morphometrics (3D landmarks) and standard multivariate methods. Comparative material involved all available Neanderthal and Upper Palaeolithic modem human femora, ulnae and radii, archaeological (Mesolithic, Neolithic, Medieval) and recent human populations representing a wide geographical …
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Combining Multivariate Statistical Methods and Spatial Analysis to Characterize Water Quality Conditions in the White River Basin, Indiana, U.S.A.
… of techniques for combining spatial data and multivariate statistical methods for characterizing water quality conditions in a river basin. The study has been performed on the White River basin in central Indiana, and uses sixteen physical and chemical water quality parameters collected from …
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Method Development for the Application of Vibrational Spectroscopy to Complex Organic-Inorganic Materials in Astrobiology. A Systematic Development of Raman Spectroscopy and Related Analytical Methods to the Structural Chemistry at Organic (Biological) and Inorganic (Mineralogical) Interfaces of Material Assemblies Relevant to Astrobiology and Inter-Planetary Science.
… An evaluation of the effectiveness of uni and multivariate methods for the analysis of large datasets containing a small number of organic features was also carried out, with a view to develop an unsupervised methodology capable of performing with minimal user interaction. It has been shown …
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