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 94 for “"probability density functions"”.
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Using simulation to estimate probability density functions of bound water molecules with DSI
… in an imaged mouse tongue. The simulated probability distribution function (PDF) for diffusion was specifically employed to estimate the myofiber diameter for the cells imaged by tissue imaging of the tongue by DSI. Our group performed a DSI experiment on a mouse tongue with a 4.7 Tesla …
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Using probability density functions to analyze the effect of external threats on the reliability of a South African power grid
… in reliability analyses. This thesis applies probability density functions, as opposed to deterministic averages, to model component failures. The probabilistic models are derived from historical failure data that is usually confined to finite ranges. Thus, the Beta distribution which has the …
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On the local and global properties of information manifolds
… between the spatially disjoint product of probability density functions and the sum of their Fisher information metric tensors. We then utilise this result to give a method for constructing the probability density functions for an arbitrary Riemannian Fisher information metric tensor given …
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Einfluss der Breschenbildung auf die Flutwellenausbreitung bei Damm- und Deichbrüchen
… of risk assessment for dams and dikes the probability of a failure as well as failure processes and consequences have to be analysed and evaluated. Therefore, this study deals with the computational modelling of breach formation and flood wave propagation at dams and dikes including the …
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Flame Surface Density Measurements and Curvature Statistics for Turbulent Premixed Bunsen Flames
… measurements in terms of flame surface density and curvature were calculated based on the flame front detected by the CH PLIF signal. The goal of this work was to investigate turbulent flames with extremely high turbulence intensity using a recently developed HiPilot burner (a …
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Theoretical Properties and Estimation In Weighted Weibull and Related Distributions
… are also reiterated for comparison. The probability density functions, cumulative distribution functions, survival functions, hazard functions and reverse hazard functions are given for each distribution. In addition, Glaser's Lemma is applied to determine the behavior of the hazard …
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An experimental investigation of organized structure and mixing in compressible turbulent free shear layers
… spatial covariance fields and passive scalar probability density functions.
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Flight Data Processing Techniques to Identify Unusual Events
… classifier uses the overall and conditional probability density functions together with a priori probabilities to make a decision. Estimating probability density functions is a difficult task in multiple dimensions. Because many of the recorded signals (features) are redundant or highly …
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Synthesis of insightful algorithms
… uses to respond to contingencies. These combine probability density functions arising from the environmental observations and the sensors measurements, to membership functions representing the expectations of the system's models. This couples Probability Theory to Fuzzy Set Theory, and uses …
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Laplace transforms, probabilities and queues.
… interpretation of the Laplace transform of probability density functions (p.d.f.) for waiting times in queues. We interpret the Laplace transform of a p.d.f. as the probability that the corresponding random variable wins a race against (i.e., is less than) an exponential random variable. …
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Density estimation with Kullback-Leibler loss
Probability density functions are estimated by the method of maximum likelihood in sequences of regular exponential families. The approximation families of log-densities that we consider are polynomials, splines, and trigonometric series. Bounds on the relative entropy (Kullback-Leibler number) …
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Statistical Recursive Estimation Algorithms for Speaker Adaption
… accommodating flexible forms of transformation functions as well as prior probability density functions. To balance between model complexity and best goodness of fit to adaptation data, an efficient dynamic programming based pruning algorithm is developed for selecting models using a Bayesian …
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Kalman filter estimation of underwater vehicle position and attitude using Doppler velocity aided inertial motion unit
… position fix errors (flyers), and varying probability density functions for sensor errors. Simulated data are used to test the filter with varying availability of data and accuracy of initial conditions, along with actual data from a deployment of the towed DSL-120 vehicle. The increased …
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Upscaling reactive transport in porous media : laboratory visualization and stochastic models
… of chemical reaction and provides concentration probability density functions, which are needed to address laws and regulations based on maximum contaminant levels. To study solute mixing and reaction in porous media, we conducted highly detailed lab-scale experiments by digitally imaging the …
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Monte Carlo simulation model for electromagnetic scattering from vegetation and inversion of vegetation parameters
… because it is not necessary to find the probability density functions and the pair-distribution functions required in the analytic formulation and usually difficult to obtain for natural vegetation. To achieve a realistic description of the vegetation structure under consideration, two …
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Bayes and minimum variance unbiased estimators of reliability using the truncated Weibull life testing model
… and inverted gamma distributions as prior probability density functions for the parameter θ, We shall also derive the minimum variance unbiased estimator (MVUE). For each prior probability density function, the Bayes estimator is compared with the MVUE by Monte Carlo simulation. Also, the …
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Removal of interference inherent in the lens radar system
… With this small spot size, surface profiles and probability density functions could be generated. The system suffered an interference problem which made reliable data collection impossible. Study showed that the system had to be operated bistatically in order to reduce the effects of interference …
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Classification and analysis of longwall delays
… and system availabilities are presented. Probability density functions have been flit to the time-to-failure and to the time-to-repair data sets, both for the principal equipment types and for the longwall system as a whole. Recommendations are made for increasing the availability of …
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A Study of Geomorphologic Instantaneous Unit Hydrograph
… can be obtained by the convolution of the probability density functions of service times that water particles spent in traveling through different paths.
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A Stochastic Approach to Modeling Aviation Security Problems Using the KNAPSACK Problem
… requires knowledge of the joint conditional probability density functions for the security device responses. Two sampling procedures, the static grid estimation procedure and the dynamic grid estimation procedure, are proposed to estimate these functions. The concept of a system response …
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