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 87 for “"CUMULATIVE DISTRIBUTION"”.
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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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A Wide Band Model for the Absorption Coefficient Cumulative Distribution Function of Water Vapor and Carbon Dioxide
… absorption coefficient in terms of the wide band cumulative distribution function represents an efficient and accurate method for use in complex radiative transport problems.
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Neural network libor market model for pricing and hedging interest rate derivatives
… elementary probability i.e. finding the inverse cumulative distribution function and using uniform inputs to generate samples from the distribution. Like all autoencoders, the goal is to reduce the dimensionality in the kernel and use this to describe the data features in the generation. Our …
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Essays in econometrics
… kernel methods to the estimation of time-varying distributions and densities subject to moment constraints. Chapter 2 proposes a weighted kernel density estimator for a time-varying probability density function and the corresponding cumulative distribution function. Time-varying quantiles are …
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Exact powers of some multivariate test criteria
… algorithm for the noncentral linear density and cumulative distribution function of Wilks' likelihood ratio criterion in MANOVA is derived and it is shown how this algorithm, with modifications, can be used to find the distributions of a number of test criteria for different hypotheses. At the …
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Solving the Differential Equation for the Probit Function Using a Variant of the Carleman Embedding Technique.
<p>The probit function is the inverse of the cumulative distribution function associated with the standard normal distribution. It is of great utility in statistical modelling. The Carleman embedding technique has been shown to be effective in solving first order and, less efficiently, second order …
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Sequential nonparametric estimation via Hermite series estimators
… univariate context we apply Hermite series based distribution function estimators to sequential cumulative distribution function estimation. These distribution function estimators are particularly useful because they allow the sequential estimation of the full cumulative distribution function. …
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Statistical modeling for land mobile satellite communications
… literature and experiments. The modeling of the cumulative distribution function for a totally vegetatively shadowed mobile (VS distribution) is presented. The VS distribution is then used in a model for the cumulative distribution function of a partially shadowed mobile. The complete model for …
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Interval Markov chains: performance measures and sensitivity analysis.
… around the chosen estimates. We considered a distribution on the parameter estimates and used the methods developed in the early chapters of the thesis, to calculate intervals for performance measures. Using these intervals, we developed a method to obtain an approximate cumulative …
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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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Epidemiology of Phomopsis Seed Decay of Soybeans: Infection Progress and the Effects of Weather and Host Resistance
… and harvest were analyzed using the Weibull cumulative distribution function, and were related to weather using multiple linear regression.
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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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Analytical and statistical approaches toward understanding sedimentation in siliciclastic depositional systems
Recent studies of turbidite bed thickness distributions have demonstrated power law and other statistical distributions. Chapter 2 explores the different distributions which may express fan processes and may be used as a tool to classify environments. Chapter 3 illustrates a correlation between …
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Weighted Inverse Weibull and Beta-Inverse Weibull Distribution
<p>The weighted inverse Weibull distribution and the beta-inverse Weibull distribution are considered. Theoretical properties of the inverse Weibull model, weighted inverse Weibull distribution including the hazard function, reverse hazard function, moments, moment generating function, coefficient …
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The joint distribution of the maximum and duration of stochastic events driven by Pareto II observations
We study the joint distribution of X and N, where N has the geometric distribution and X is the maximum of the N independent and identically distributed Pareto II (Lomax) observations. The bivariate distribution is referred to as the geometric Marshall-Olkin Lomax distribution (GMOL). A related …
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Semiparametric instrumental variable methods for causal response models
… of the treatment on different parts of the distribution of the outcome variable. The third chapter of this dissertation looks again at distributional effects but focusing directly on the cumulative distribution functions of the potential outcomes with and without the treatment.
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The negative binomial distribution
… literature dealing with the negative binomial distribution. An account of the forms of the distribution is presented. This includes compound, limiting and truncated forms and examples of their occurrence. Parameter estimation is treated in a few specific cases. In particular, the inverse …
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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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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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