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 43 for “"distribution free"”.
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Distribution-free uncertainty quantification for deep learning
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms
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Distribution-free uncertainty quantification for deep learning
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms
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Distribution-Free Consistent Tests of Independence via Marginal and Multivariate Ranks
… both settings, we propose, for the first time, distribution-free and consistent tests of independence via marginal or multivariate ranks. Moreover, we establish the optimal efficiency in the statistical sense of both tests. In addition, we also investigate the power of a simple consistent rank …
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Distribution-Free Trends Test To Determine The Construct Validity Of An Anti-Social Criminal Attitudes Scale
<p>The Sawilosky's I-Test was developed to as an alternative method to evaluate construct validity, more specifically, in regards to the Multitrait-Multimethod Matrix designed by Campbell and Fiske (1959). Typically, researchers use a method by Campbell and Fiske that involves a subjective …
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The Efficacy Of Select Nonparametric And Distribution-Free Research Methods: Examining The Case Of Concomitant Heteroscedasticity And Effect Of Treatment
… of these procedures deteriorates under nonnormal distributions. Compared to parametric procedures, nonparametric and distribution-free research methods make minimal assumptions about underlying population data. They are robust to departures from parametric assumptions, and hold distinct power …
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New control charts for monitoring univariate autocorrelated processes and high-dimensional profiles
… the use of automated variance estimators in distribution-free statistical process control (SPC) charts for univariate autocorrelated processes. We introduce two variance estimators---the standardized time series overlapping area estimator and the so-called quick-and-dirty autoregressive …
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Some Contributions to Tolerance Intervals and Statistical Process Control
… intervals. Moreover, the existing multivariate distribution-free control charts in the literature lack the ability to identify the out-of-control variables directly from the chart signal and the scale of the original variables is often lost. In this dissertation, new tolerance intervals for …
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A Rate of Convergence for Learning Theory with Consensus
This thesis poses and solves a distribution free learning problem with consensus that arises in the study of estimation and control strategies for distributed sensor networks. Each node i for i = 1, . . . , n of the sensor network collects independent and identically distributed local measurements …
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Rank-based Two Sample Tests Under a General Alternative
… rank based formulation of univariate two-sample distribution-free tests. One form of the test statistic is the average of between-group distances of ranks. The other form of the test statistic is the difference between the average of between-group distances of ranks and the average of …
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Conformal Methods for Efficient and Reliable Deep Learning
… on conformal prediction, a model-agnostic and distribution-free uncertainty estimation framework. We develop both theory and practice for leveraging uncertainty estimation to build adaptive models that are cheaper to run, have desirable performance guarantees, and are general enough to work …
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Decision-making under uncertainty using a new chance constrained programming technique: A groundwater reclamation application
A new distribution free chance constrained programming technique is developed and applied to the design of hydraulic gradient control methods for containment and removal of contamination in an aquifer. The spatial distribution of parameters such as transmissivity in a heterogeneous domain make the …
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A graphical approach for goodness-of-fit of Poisson model
… assumed to have come from univariate continuous distributions; however, literature on GOF procedures for univariate discrete distributions is rather sparse in compariSon The Poisson distribution in particular has received much attention in the study of GOF tests due to its numerous applications …
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Nonparametric Multivariate Statistical Process Control Using Principal Component Analysis And Simplicial Depth
… require the normality assumption for the joint distribution among the process variables, which is not feasible in many industrial settings, hence the motivation to investigate nonparametric techniques for multivariate data in quality control. In this research, the goal will be to create a …
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CUSUM procedures based on sequential ranks
… signed and unsigned sequential rank CUSUMs are distribution-free and robust against the effect of outliers in the data. The only assumption that these CUSUMs require is that the in-control distribution is symmetric around a known location parameter. These procedures specifically do not require …
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Three Essays on Private and Public Finance in Argentina
… of financial institutions is estimated via the Distribution-Free Approach, introduced by Berger (1993), and then banks with different characteristics (private vs. public and domestic vs. foreign) are evaluated based on their cost distribution by using quantile regression analysis. In chapter 2, …
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Robust optimization, game theory, and variational inequalities
… In the second part of the thesis, we propose a distribution-free model of incomplete- information games, in which the players use a robust optimization approach to contend with payoff uncertainty.
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Multivariate nonparametric control charts using small samples
… that the data follow a multivariate normal distribution. If this assumption is not reasonable or if it is difficult to verify, for example in a short production run, a multivariate control chart based on classical nonparametric statistics could be used. Control charts based on the sign and …
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A Random-Linear-Extension Test Based on Classic Nonparametric Procedures
Most distribution free nonparametric methods depend on the ranks or orderings of the individual observations. This dissertation develops methods for the situation when there is only partial information about the ranks available. A random-linear-extension exact test and an empirical version of the …
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Maximum empirical likelihood estimation in U-statistics based general estimating equations
… that efficient estimates of moment based distribution characteristics in the presence of side information can be obtained using JEL for U-statistics.</p> <p>In the second part, we propose several JEL goodness-of-fit tests for spherical symmetry, rotational symmetry, antipodal symmetry, …
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The robustness of LISREL estimates in structural equation models with categorical data
… computer programs are available that employ distribution-free estimation procedures that consider the skewness and kurtosis of the variables, researchers are ill-advised to employ LISREL in the estimation of structural equation models containing skewed categorical manifest variables.
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