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 335 for “"probability density"”.
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Probability Density Function Modeling of Turbulent Non-reactive and Reactive Spray Flows
Turbulente Sprays werden häufig im praktischen Verbrennungsystem angetroffen. Die Eigenschaften der turbulenten Sprays, wie Verteilung der Tröpfchengrößen und die Vermischung von Kraftstoff und Luft sind für die Effizienz, die Stabilität, und das Emissionsverhalten der Verbrennungprozesse sehr …
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Probability Density Function Estimation Applied to Minimum Bit Error Rate Adaptive Filtering
… of this research involves estimation of the probability density function (PDF) of the received signal; this PDF estimate is used to adaptively determine a solution that minimizes BER. To this end, a new adaptive procedure called the Minimum BER Estimation (MBE) algorithm has been developed. …
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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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Uncertainties in Oceanic Microwave Remote Sensing: The Radar Footprint, the Wind-Backscatter Relationship, and the Measurement Probability Density Function
… of bias and the Cramer-Rao lower bound. The probability density function of modified periodogram averages (a spectral estimation technique) is derived in generality and for the specific case of power estimates made by the NASA scatterometer. The impact on wind retrieval is quantified.</p>
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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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The Uniform Convergence of Special Standardized Distributions
… Gamma distribution is standardized, and then the probability density function of the standardized Gamma distribution is shown to converge uniformly to the probability density function of the normal distribution. The F-distribution is standardized, and then the probability density function of 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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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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Ship Rolling Motion Subjected to Colored Noise Excitation
… the stochastic nonlinear dynamic behaviors and probability density function of ship rolling are studied by nonlinear dynamic method and probability theory. The probability density function of rolling response is evaluated through solving the stochastic differential equations by using path …
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Reliability assessment under incomplete information: an evaluative study
… correlation between the variables when the joint probability density function is unknown. There are no reports that provide information of the accuracy of these methods. This work presents an evaluative study of reliability under incomplete information, comparing three existing methods for …
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New methods for sensitivity analysis of chaotic dynamical systems
… equation. The first method, the probability density adjoint method, forms a probability density function on the strange attractor associated with the system and uses its adjoint to find gradients. This was achieved using a novel numerical method in which the attractor manifold, …
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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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The Fokker-Planck and Related Equations in Theoretical Population Dynamics
… parabolic partial differential equation for the probability density function. Using separation of variables and simple transformations the Fokker-Planck equation reduces to a time independent ordinary differential equation, the Schrodinger equation of quantum mechanics. Solving the latter we …
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Bohmian Quantum Mechanics with Quantum Trajectories
… a set of hydrodynamical equations of motion for probability density fluids, based on the propagation of those probability density trajectories. The quantum trajectory method gives rise to, for example, an authentic quantum electron transport theory of motion to, among others, classically-minded …
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Statistical Surrogate Models for Robust Design Optimisation in Reduced Dimension
… subspace as random, enabling a design variable probability density to be learned. When combined with adaptive sampling methodologies such as Bayesian optimisation (BO), solutions that are more robust to an incorrect specification of the linear subspace dimension are proposed; due to the …
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Using an FPGA-Based Processing Platform in an Industrial Machine Vision System
… Color Theory, the system developed a probability density function in 3-D color space for each class based on the parts assigned to that class during training. While sorting, the probability density function was generated for each scanned piece, and compared with each of the class …
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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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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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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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Robust bifurcation behavior in the presence of external random excitation
… characteristics carry over to the steady state probability density function for the system in the presence of random external excitation. For systems with two critical modes, exemplified by an aircraft with marginally stable/unstable Dutch roll and spiral modes, the bifurcation behavior is …
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