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 26 for “"parametric bootstrap"”.
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A Comparison of Kernel Equating and Traditional Equipercentile Equating Methods and the Parametric Bootstrap Methods for Estimating Standard Errors in Equipercentile Equating
… anchor test (NEAT) design and (b) to apply the parametric bootstrap method for estimating standard errors of equating. A two-parameter logistic item response theory (2-PL IRT) model was used to create population score distributions for different test sizes. Samples were drawn from the …
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Extreme value theory: Applications to estimation of stochastic traffic capacity and statistical downscaling of precipitation extremes
… estimates for future return levels, both a parametric bootstrap and Bayesian procedure are implemented. The Bayesian method consists of a semi-parametric mixture model for daily precipitation where extremes are modeled parametrically using generalized Pareto distributions, and non-extremes …
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Order Restricted Estimation and Tests for Fit in Homogeneous Row-Column Models
The RC model, introduced by Goodman has parametric scores for rows and columns of a two-way contingency table. If the parametric scores assigned to rows and columns of the table reflect the ordinality of the row and column categories then we have an order-restricted RC model. Maximum likelihood …
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A graphical approach for goodness-of-fit of Poisson model
… of the R2 test statistic simulated by parametric bootstrap. Similar methods exist for continuous distributions like the univariate normal and extreme-value distributions under regression tests of fit. Simulated examples as well as historically well-known Poisson data sets are then used …
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Quantifying methodological uncertainties and navigating feasibilities in monitoring of cerebral autoregulation - Towards individualised management of TBI.
… including simple summary statistics, parametric bootstrap, stationary block bootstrap, and Bayesian inference. Among these, the parametric bootstrap for Phase Shift (PS) metric of CA proved the most promising, offering robust estimates of uncertainty. Additionally, deep learning …
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Confidence Interval Estimation for Distribution Systems Power Consumption by Using the Bootstrap Method
… intensive statistical technique, namely the bootstrap method, is utilized to estimate these intervals. It allows us to replace idealized model assumptions for the load distributions by model free analyses. Two studies have been executed. The first one is based on the original nonparametric …
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Variable Selection and Hypothesis Testing for High-Dimensional Models in Mental Health Research
… testing is conducted using Wald-based and parametric bootstrap methods, while power and sample size procedures are extended to accommodate zero inflation, hierarchical clustering, longitudinal correlation, and attrition. Simulation results show improved Type I error control, power …
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Methodology for characterization of representativeness uncertainty in performance indicator measurements of thermal and nuclear power plants
… for the uncertainty sources. Second, a non-parametric formulation of the Methodology framework is developed and demonstrated. The use of non-parametric techniques allows the quantification and integration of uncertainties that are not expressed by the normal probability distribution. The …
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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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Estimating bounds for nonidentifiale parameters using potential outcomes
… mice data example from Coffey et al. (2005). A parametric bootstrap is used to investigate sampling variability of estimated bounds for the causal parameter. Finally, a matched pairs design is considered in order to get more information for a nonestimable parameter. Three data examples are …
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Topics in dimension reduction and missing data in statistical discrimination.
… we compare the two competing classifiers using parametric bootstrap estimated expected error rates for a subset of the well-known Iris data.
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Essays on complexity and causality in political science research
… The second essay examines the performance of bootstrap methods for quantifying the uncertainty of causal effect estimates from matching. In particular, it investigates the performance of three existing approaches as well as a newly developed one. The proposed non-parametric bootstrap method …
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Rates and dates: Evaluating rhythmicity and cyclicity in sedimentary and biomineral records
… analyzed for error using a jackknife corrected parametric bootstrap. As geochemical analyses get more precise while using less material, data can be collected through the skeleton of a biomineralizing organism, thus revealing information about environmental shifts at scales shorter than a year. …
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Contributions to solvency risk measurement
… priors and (c) residual risk estimation via parametric bootstrap. Risk measures satisfying standard properties are used, for example the popular TVaR. For more general distributions only (a) and (b) are investigated and a truncated version of TVaR is used. Numerical results obtained via …
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Improving the accuracy of statistics used in de-identification and model validation (via the concordance statistic) pertaining to time-to-event data
… have been made. The second project developed a parametric c-statistic which assumes to the true survival times are exponentially distributed to invoke the memoryless property. A simulation study was conducted which included a comparative analysis of two other time-to-event c-statistics. Three …
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New panel unit root and cointegration tests of purchasing power parity
… cross section dependence by extending the bootstrap panel unit root proposed by Maddala and Wu (1999) and apply the latter to a panel of twenty OECD real exchange rates. We also use Monte Carlo simulations to examine the size properties of the proposed bootstrap panel test. If on one hand …
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Multivariate Analysis of Dietary Data in the Presence of Excess Zeros and Measurement Error
… utilising a pseudolikelihood approach and parametric bootstrap for parameter estimation. The approach is illustrated by modelling the intake of alcohol, jointly with the intake of other foods, and the resulting analysis is compared with that based on the two-part model for a single food and …
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Quantification of Variability and Uncertainty in Emission Factors and Emission Inventories
… to random sampling error was characterized using parametric bootstrap simulation. A methodology for the quantification of variability and uncertainty in censored data sets containing below detection limit values was developed. This methodology is demonstrated for three case studies. In Case Study …
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Molecular phylogenetics and the evolutionary history of reproductive strategies in benthic shallow-water octopuses (Cephalopoda: Octopodinae)
… implemented to estimate the phylogeny and non-parametric bootstrap was used to verify confidence intervals for Bayesian topologies. Overall the genes used in this study were better suited to the examination of recent phylogenetic relationships, which has helped to resolve the relationships …
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Quantification of replication present in HIV reports and effect of patient movement between wards on MRSA infection
… the estimated amount of replication using the bootstrap method. The data were provided by the Public Health Laboratory Service (PHLS), Colindale, London in 1994, who were interested in a statistical method to estimate multiple counting that possibly existed in the database. The data consists of …
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