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 5 of 5 for “"Bootstrap (Statistics)"”.
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Investigation of bootstrap estimates of the parameters, their standard errors, and associated confidence intervals of structural equation models with ordered categorical variables
This study investigates the performance of the bootstrap when it is applied to structural equation models with ordered categorical variables. The study focuses on the parameter estimates, their standard errors and the coverage rates of the associated bootstrap confidence intervals. Structural …
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On testing the change-point in the longitudinal bent line quantile regression model
… methods also outperform the extensively used bootstrap methods by providing more accurate and computationally efficient confidence intervals. To illustrate the usage of our methods, we apply them to two datasets from real studies: the Finnish Longitudinal Growth Study and an AIDS clinical …
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Contributions to Functional Data Analysis
… is currently an active area of research in statistics. This dissertation makes two contributions to functional data analysis. The first contribution is development of a methodology for modeling and analysis of functional data arising in method comparison studies. The observed data in this …
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Evaluation of bootstrapping as a validation technique for population pharmacokinetic models
… of the current study to evaluate the ability of bootstrapping to identify PPKMs that were estimated from data without influence observations versus PPKMs from data containing influence observations. The evaluation was performed in four phases. In phase I, ten no-influence index datasets and ten …
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Simulating Statistical Power Curves with the Bootstrap and Robust Estimation
… power for a given statistical test using bootstrap methods (Efron, 1993). However, this method is not widely known or utilized in data analysis settings. This research study examined the practical importance of combining robust measures of location with nonparametric power analysis. …