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 10 of 10 for “"general linear regression"”.
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Identifying outliers and influential observations in general linear regression models
… the influence of observations on least squares regression results. Since outliers can arise in different ways, the above mentioned measures are based on motivational arguments and they are designed to measure the influence of observations on different aspects of various regression results. In …
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Distortion and Revolution in Texas U.S. Congressional Redistricting Politics: 1972-2014
… in a statewide congressional election. Using a general linear regression model, the research finds that distortion decreases as compactness increases, while demographic variables do not significantly affect distortion.
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REMOTE SENSING OF WATER QUALITY IN LAKE ERIE USING MODIS IMAGERY DATA
… and Secchi depth. These models included the general linear regression models, the Bayesian hierarchical regression model, and the nonlinear neural network model. The ground water quality measurements in Lake Erie used in this study included both chlorophyll-a concentration for measuring algae …
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Statistical analysis under the Schruben-Margolin correlation induction strategy in the absence of pure error
… objective of such experiments is to estimate a general linear regression model on the basis of a quantitative response variable generated by the simulation model. Nozari, Arnold, and Pegden (1987) develop optimal statistical procedures for analyzing simulation experiments performed under the …
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Dietary Intake Estimations and Anthropometric Measurements in Healthy Young Adult Women with Differing Eating Characteristics
… Pearson correlation coefficient analyses, and general linear regression models. Results: Women with high CER scores (n=32; mean±SD CER score=13.1±2.4) consumed more fruits per day (2.4±0.9 svg/d) compared to women with low CER scores (n=33; CER score=4.5±3.0; fruits=1.8±1.1 svg/d; p<0.05). …
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Strategic customer relationship marketing and re-intermediation models in the insurance industry
… including vector autoregressive (VAR) modelling, general linear regression, quantile regression, autoregressive, moving average; autoregressive integrated moving average, GARCH, logistic regression; decision trees and neural networks models. The research also uses scenario testing for business …
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Investigating Parenting Stress And Neurodevelopment In Infants With Congenital Heart Defects During The First Year Of Life
… of Philadelphia, included mixed-effects and general linear regression modeling. Findings: Parents of infants with CHD had higher parenting stress than parents of healthy infants on the Child and Parent Domains at three months of age. The stress remained higher on the Demandingness subscale …
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DRUG AND/OR ALCOHOL ABUSE OUTCOME IN MENTAL ILLNESS:THE MEDIATING ROLE OF SOCIAL SUPPORT
… Data was analyzed using negative binomial regression method to test for mediation effect. Results indicated that social support mediated the relationship between mental illness and drug abuse. We ran two generalized linear and one general linear regression models. In the first model, we …
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Comparative Effectiveness of Analgesic Sedation as Primary Sedation in Medical ICU Patients vs. Conventional Sedation and Analgesia Regimens
… Covariates included in the Cox regression model included age, gender, ICU days, substance abuse history, number of admissions in the previous year, and insurance status. Using general linear regression modeling, we explored the effect of patient socio-demographic and clinical …
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Generalization of kernel machine methods for association testing of multi-omics data
… perform these analyses using the kernel machine regression (KMR) testing framework. Within this context, we propose three projects. For project one, we extend an existing KMR testing method to accommodate joint association testing of two data types with a trait of interest in correlated samples. …