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 109 for “"correlation matrix"”.
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Correlation Matrix Analysis Identifies Gene Signatures of Immune Cell Subsets and Their Interactions In Follicular Lymphoma
… lymphoma (FL). Using the novel technique of correlation matrix analysis (CMA) of publicly available FL whole-tumor gene expression profiling (GEP) data, we have identified signatures of immune cell subsets. Overall survival correlated most highly with a model using signatures of macrophages, …
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Portfolio selection using Random Matrix theory and L-Moments
… the sample mean vector and variance-covariance matrix have been used for this purpose. However, estimation errors result in the optimised portfolios performing poorly out-of-sample. This dissertation considers two approaches to obtaining a more robust estimate of the variance-covariance matrix. …
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Alternative risk management: correlation and complexity
… studied extensively, using the equal-time cross-correlation matrix. These Complex Systems are characterised by events such as Market Crashes or Seizures, which are associated with periods of hypersynchronisation. In this Thesis, the Risk Characterisation and Reduction of Complex Systems is …
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FUNCTIONS UNDERLYING PERFORMANCE OF LEARNING-DISABLED CHILDREN IN INTELLIGENCE AND NEUROPSYCHOLOGICAL TESTS.
… Principal component factoring of the original correlation matrix was followed by principal factoring, using a 4 factor solution; varimax rotation with six iterations produced the desired reduction of the correlation matrix; four factors emerged for the learning disabled population, which …
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Principal component analysis and classification of discrete and mixed feature datasets using Gaussian copula
… copula model. A rank based estimator for correlation matrix in the Gaussian copula for discrete dataset is developed, extending the current rank based estimator for only continuous data. Methodology for obtaining the surrogate PC scores as the low dimensional representation is developed …
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Estimating Effects Of Non-Normality In Assessing Structural Equation Model Fit For Use Of Physical Science Data
… It was also determined that the magnitude of the correlation decreased as sample size decreased, and as the correlation approached zero the model fit resulted in illogical results.</p> <p>Additional Monte Carlo simulations were therefore conducted, with 1,000 repetitions, and varying magnitudes of …
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Mixed Effects Modeling and Correlation Structure Selection for High Dimensional Correlated Data
… modeling with unspecified random effects and correlation structure selection for high-dimensional data. In longitudinal studies, mixed-effects models are important for addressing subject-specific effects. However, most existing approaches assume normal distributions for the random effects, …
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Identification of Cell Signaling Pathway Regulated By Micrornas In Cancer Cells Using A Systems Biological Approach
… these current limitations, we developed a novel correlation-based approach that is sequence independence to predict functional targets of miRNAs by step-wise integration of the expression data of miRNAs, mRNAs, and proteins from NCI-60 cell lines. A correlation matrix between expression of miRNAs …
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Subspace methods for portfolio design
… principal component analysis (PCA) of empirical correlation matrix for a random vector process that statistically represents asset returns in a basket of instruments, is investigated. Auto-regressive, order one, AR(1) discrete process is employed to approximate such an empirical correlation …
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The Relationship of Well-Being, And General Role Participation And Parental Role Satisfaction in Mothers with SCI: An Exploratory Study
… Well-Being Scale and six subscales. A correlation matrix was performed examining the relationship between General Role Participation and Well-being for mothers with SCI using Pearson's correlations. The overall well-being scale score for women with spinal cord injury significantly …
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Fast Algorithms for Volterra-Series-Based Nonlinear Adaptive Filters
… By utilizing the special structure of the input correlation matrix of the Volterra filter the two algorithms essentially implement quasi-Newton algorithm with $O\lbrack {\rm N}\sp2\rbrack$ computational complexity which is equivalent to O (N) computational complexity of fast algorithms for linear …
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The junior South African individual scale as predictor of scholastic achievement at Sub A, Sub B & Std One levels
… official school records, were obtained. Pearson correlations were calculated between the Global, Verbal Performance and Numerical Scales and each of the subtests on the one hand, and selected school subjects and a computed average of the subjects on the other. The JSAIS scales and subtests were …
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The Minimax control chart for multivariate quality control
… process is proposed. It is assumed that the correlation matrix is known and that the distribution of the data is multivariate normal. The new chart is based on the minimum standardized sample mean (Z<sub>[1]</sub>) and the maximum standardized sample mean (Z<sub>[p]</sub>) of p correlated …
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Applications of Random Matrix Theory to Portfolio Management and Financial Networks
This thesis is an application of Random Matrix Theory (RMT) to portfolio management and financial networks. From a portfolio management perspective, we apply the RMT approach to clean measurement noise from correlation matrices constructed for large portfolios of stocks of the FTSE 100. We apply …
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A Species Independent Universal Bio-detection Microarray for Pathogen Forensics
… such as hierarchical clustering, Pearson's correlation matrix, principal component analysis and curve fitting regression methods were tested for pathogen specific use cases. Hierarchical clustering and Pearson's correlation matrix methods can establish phylogenomic relationships between …
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Prediction of Elementary Student Reading Achievement From Specific Home Environment Variables
… All data were available for 492 students. A correlation matrix was generated by using the Pearson product-moment formula. A stepwise multiple regression analysis computed the predictors of reading achievement. The educational level of the father was both highly significant to and the greatest …
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Anthropometric variability, equipment usability and musculoskeletal pain in a group of nurses in the Western Cape
… were measured using a sample of nurses and a correlation matrix generated. All nurses were given a questionnaire concerned with operational problems in the work environment and musculoskeletal pain. The questionnaire was also completed by a group of sedentary nurses. The ward and theatre …
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Are a materialistic lifestyle and income associated with subjective well-being?
… With Life Scale. The results were analyzed using correlation matrix and linear multiple regression. Both materialism and income showed a significant relationship with well-being. The interaction between materialism and income on well-being was significant as well, demonstrating that high …
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Seismic site characterization through joint modeling of complementary data functionals, with applications to Santo Domingo, Dominican Republic.
… probability distributions (PPD) and parameter correlation matrices. Jointly fitting dispersion curves and HVSR functionals via global optimization allows us to assess model reliability, identify parts of the "best-fit" model that are poorly constrained, and guide us toward new data that might …
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