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 212 for “"Multivariate Regression"”.
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Simultaneous estimation approaches to large-scale multivariate regression
Large-scale multivariate regression has various applications in machine learning fields, especially in image recognition, gene expression prediction and multivariate time series prediction. Numerous approaches have been developed to solve this problem. Some popular statistical methods are group …
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Distributions of certain test statistics in multivariate regression
… for testing different hypotheses for the multivariate regression. In this preface a brief summary of each of the succeeding chapters is given. In Chapter 1 the problem of testing the equality of two population multiple correlation coefficients in identical regression experiments has been …
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Form Based Codes and Economic Impacts: A Multivariate Regression Analysis and Case Study
… based codes and public finance a series of two multivariate regression analyses were conducted using historic property and sales tax data. The first regression analysis was performed using the full list of 122 cities which have adopted form based standards from between 1984 and 2009. In an …
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Nonparametric multivariate multisample tests of the location problem and multivariate regression based on directions of data
Randles' one sample multivariate sign test based on interdirections is extended to two sample and multisample tests. A heuristic argument suggests that when samples are drawn from elliptically symmetric distributions all of these tests share the same asymptotic relative efficiency with respect to …
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Optimization algorithms for inference and classification of genetic profiles from undersampled measurements
… accuracy. Second, we propose SMURC: Small-sample MUltivariate Regression with Covariance estimation. Specifically, we consider a high dimension low sample-size multivariate regression problem that accounts for correlation of the response variables. We show that, in this case, the maximum …
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Indirect Bullying and Conflict Management Skills in Childhood and Adolescence
… were evaluated using MANOVA, Chi-square, and multivariate regression analyses, respectively. Results of these analyses suggested that in this sample, there were no mean differences in age and gender on the self-reported use of relational aggression, social aggression, and interpersonal …
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Blood Neutrophil-to-Lymphocyte Ratio predicts tumor recurrence in patients with hepatocellular carcinoma within Milan criteria after hepatectomy
… (ROC) curve analysis. Univariate and multivariate regression analysis were performed to identify predictive factors of recurrence and death. Results: A total of 213 patients were included in the present study. The median follow-up period was 48 months. One hundred and seven patients …
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Evaluation and calibration of soil tests for available zinc
… that either the EDTA-(NH4)C03 procedure or the multivariate regression equation could be used to estimate the Zn supplying powers of Virginia soils. It was pointed out that the critical levels obtained for the procedures are considered tentative and that the calibration should be continued as …
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Exploring the impact of access to finance by small and medium-sized enterprises on employment creation in the Khomas region
… data was analysed through bivariate and multivariate regression analysis using SPSS software, while qualitative data was analysed using the inductive strategy approach to produce a set of findings. Data analyses using both bivariate and multivariate regression models showed that there …
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Outliers and influence under arbitrary variance
… general linear model can be extended to normal multivariate models. When the outliers in a multivariate regression model follow a nested pattern, maximum likelihood estimation of the parameters in the model adjusted for the different types of outlier can be performed in closed form, and the …
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Ecological assessment of salt ponds on St. John, USVI
… measured, data are then analyzed by pair regression analysis. Multivariate regression results are presented for three independent variables: species richness, chlorophyll a, and dissolved oxygen. In the multivariate regression analysis of species richness, the most significantly correlated …
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Detection of Outliers and Influential Observations in Regression Models
<p>Observations arising from a linear regression model, lead one to believe that a particular observation or a set of observations are aberrant from the rest of the data. These may arise in several ways: for example, from incorrect or faulty measurements or by gross errors in either response or …
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A preliminary test estimator for multivariate response functions
… of independent observations, the generalized multivariate regression model is of the form y<sub>j</sub> = X<sub>1j</sub> β<sub>1j</sub> + X<sub>2j</sub> β<sub>2j</sub> + ε<sub>j</sub> , j = 1, 2, …, p, where X<sub>1j</sub> and X<sub>2j</sub> are general linear model regression matrices, …
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An analysis of promotion and retention factors among Hispanic and non-Hispanic Marine Corps officers
… a diverse background, and applies quantitative multivariate analysis methods to identify pre-commissioning and post-commissioning factors, such as college performance, accession source, military training and fitness report scores that explain any differences in job performance measures of Marine …
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Gender differences in test anxiety
… difference between the genders; however, when a multivariate regression was conducted to account for variability contributed by age and class, there was a statistically significant difference. This finding can be perceived as an indication that it is not gender alone that causes significant …
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The Role of Political Behavior and Socio-Economic Development in the Transition and Consolidation of Liberal Democracy in Sub Saharan Africa
The study utilizes the multivariate regression techniques to investigate the role of political behavior; power structure (at the micro level) and socio economic development (macro level) in the transition and consolidation of democracy in Sub Saharan Africa. In the analysis, political behavior, …
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Set-based Particle Swarm Optimisation for Dynamic Optimisation Problems
… combinatorial optimisation problems and dynamic multivariate regression problems, which involve bilevel optimisation over both continuous and discrete domains. After a review of relevant optimisation theory and related literature, the thesis first investigates strategies that improve the …
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Intergenerational transmission of gender ideology: the unique associations of parental gender ideology and gendered behavior with adolescents' gender beliefs
… equality behavior was not. Furthermore, in multivariate regression analyses, there were interactions between parent gender ideology and adolescent sex: parent gender ideology was significantly associated with gender ideology for male adolescents but was not significantly associated with …
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Wellness and Mental Health Among Older Adults and Veteran Older Adults
… and veteran older adult populations using two multivariate regression models. The presence of between-group differences was also assessed using a series of MANOVAs and other key demographic variables. The findings revealed statistically significant differences existed among older adults based …
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A stochastic ensemble forecast model for geosynchronous relativistic electron fluxes
… Individual model results were combined using a multivariate regression to produce significantly better predictive results than any of the individual models alone. A stochastic model is then developed to forecast the probability that a fluence threshold will be exceeded. The regression technique, …
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