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 23 for “"cumulative distribution functions"”.
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Cumulative Distribution Networks: Inference, Estimation and Applications of Graphical Models for Cumulative Distribution Functions
… models for directly representing the joint cumulative distribution function (CDF) of many random variables, called cumulative distribution networks (CDNs). Unlike graphical models for probability density and mass functions, in a CDN, the marginal probabilities for any subset of variables are …
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Theoretical Properties and Estimation In Weighted Weibull and Related Distributions
The Weibull distribution is a well known and common distribution. In this thesis, theoretical properties of weighted Weibull distributions are presented. Properties of the non-weighted Weibull distribution are also reiterated for comparison. The probability density functions, cumulative …
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Probability-based stability analysis of a laminated composite plate under combined in-plane loads
… such as the probability density and cumulative distribution functions for the resistance to buckling of the plate are obtained by employing the first-order second-moment method of reliability analysis. Uncertainties associated with material mechanical properties and fiber orientations …
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Semiparametric instrumental variable methods for causal response models
… to estimate linear and nonlinear causal response functions with covariates under weak (instrumental variable) identification restrictions. The second chapter (co-authored with Joshua Angrist and Guido Imbens) applies the identification results of the first chapter to estimate quantile causal …
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Exponentially Weighted Moving Average Charts for Monitoring the Process Generalized Variance
… the chart's initial and steady-state run length distributions. The three methods that are commonly used to determinate run length distribution, simulation, the integral equation method, and the Markov chain approximation are discussed. The integral equation and Markov chain approaches are …
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Tree-based Methods for Learning Probability Distributions
<p>Learning probability distributions is a fundamental inferential task in statistics but challenging if a data distribution of our interest is complicated and high-dimensional. Addressing this challenging problem is the main topic of this thesis, and mainly discussed herein are two types of new …
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Contextualization and Sodium Diet Implications of Occoquan Reservoir Salinization
… assist in contextualizing this system, empirical cumulative distribution functions were generated from data gathered from various governmental sources and compared the reservoir's watershed and finished drinking water ion concentrations. These analyses show that the watershed and finished drinking …
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Potential Silvicultural Effects on Bald Eagle Nesting Substrate and Economic Yields at a Navy Installation in the Chesapeake Bay: An Approach Using the Forest Vegetation Simulator and Mahalanobis Distance
… An alternative substrate model based on cumulative distribution functions (CDFs) and Boolean logic allowed evaluation of the strengths and weaknesses of the Mahalanobis distance method. The Mahalanobis distance model provided greater relative fit to the sample of nest sites compared to …
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Analysis and solutions for RFID tag and RFID reader deployment in wireless communications applications. Simulation and measurement of linear and circular polarised RFID tag and reader antennas and analysing the tags radiation efficiency when operated close to the human body.
… at 900MHz has been studied. The near field distribution and the radiation pattern together with the statistical distribution of the radiation efficiency and the absorbed power in terms of cumulative distribution functions for different orientation and location of RFID¿s tag antenna on the …
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Analysis of a Two-Branch Maximal Ratio and Selection Diversity System with Unequal Branch Powers and Correlated Inputs for a Rayleigh Fading Channel
… to the analytical results. The analytical cumulative distribution functions (derived using probability distributions) were found to be within 1 dB of the measured results (statistics obtained from time combining) for both maximal ratio and selection diversity attesting to the validity of …
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Lattice Based Elastic Metamaterials with Ultra-wide Stopbands at Low Frequency
… means, standard deviations, probability density functions (PDFs), and cumulative distribution functions (CDFs), and failure probabilities of the random bandgap characteristics for 3D EMMs involving material and geometrical uncertainties. Based on the numerical investigations, the wave attenuation …
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Uncertainty Assessment in High-Risk Environments Using Probability, Evidence Theory and Expert Judgment Elicitation
… analysis outcomes is represented by probability distributions and typically summarized as Complimentary Cumulative Distribution Functions (CCDFs). The main components of this research are probability of X in the probability theory compared to mx in evidence theory. Using this comparison, an …
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The use of stochastic collocation for sampling from expensive distributions with applications in finance
… methods often requires sampling from expensive distributions. These are distributions with inverse cumulative distribution functions that are difficult to evaluate, thus requiring significant computation time. To mitigate this, Grzelak et al. (2015) introduced the stochastic collocation Monte …
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Probabilistic aspects of progressive damage in composite structures
… of various damage modes by evaluating the cumulative distribution functions of the corresponding material strength parameters at various locations in the structure for a given state of damage and applied load. An average stress approach is used in assessing the occurrence of both in-plane …
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Energy-Efficient Multicarrier and Multicarrier-CDMA Systems
… Using extensive simulations, Complementary Cumulative Distribution Functions (CCDFs) of PAPR of OFDM signals for Binary Phase Shift Keying (BPSK), Quadrature Phase Shift Keying (QPSK), and -QPSK are obtained as a function of number of subcarriers in the system. It is shown that PAPR …
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Dynamics in Discrete Time: Successional Communities, Spatial Models, and Allee Effects
… for approximating the equilibrium population-distributions of IDEs with strictly-increasing growth, for populations on a finite habitat-patch. This method approximates the growth function of the IDE with a piecewise-constant function, and I call the resulting model a block-pulse IDE. I write …
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Theoretical advancements and applications in singular spectrum analysis.
… The proposed test is based on the principles of cumulative distribution functions and stochastic dominance, and is evaluated via both a simulation study and empirical evidence. Governments, practitioners, researchers and private organizations publish a variety of forecasts each year. Such …
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Modified Burg algorithms for multivariate subset autoregression
… least squares. Saddlepoint approximations to the distributions of the Yule-Walker and Burg autoregressive coefficient estimators, when sampling from a subset Gaussian AR(p) with only one non-zero lag, are given. In this context, each estimator can be written as a ratio of quadratic forms in normal …
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Application Of Statistical Methods In Risk And Reliability
… construction of confidence intervals for a cumulative distribution function F(z) and its inverse at some fixed points z and u on the basis of an i.i.d. sample where the sample size is relatively small. The sample is modeled as having the flexible Generalized Gamma distribution with all three …
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Statistical modeling of rare stochastic disturbance events at continental and global scales: post-fire debris flows and wildland fires
Chapter 1: Frequency-magnitude distribution of debris flows compiled from global data, and comparison with post-fire debris flows in the western U.S. Forecasting debris flow hazard is challenging due to the episodic occurrence of debris flows in response to stochastic precipitation and, in some …
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