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 33 for “"Scale Parameter"”.
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Estimation For Simple Linear Regression With Exponentially Distributed Errors
… the error ∊ is exponentially distributed with scale parameter ϴ. We derive both the maximum likelihood estimate and the least square estimate and examine their important properties.
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The Truncated Cauchy Distribution: Estimation of Parameters and Application to Stock Returns
… is the existence and estimation of the parameters of a truncated Cauchy distribution. It is known that when a number of distributions with infinite support are truncated to a finite interval that the maximum likelihood estimator of the scale parameter fails to exist with positive …
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Farmland Conservation Easement Valuation Using an Attribute-based Choice Survey: Comparing Preferences within the United States, Georgia, Ohio and Maine
… quality, size, and cost components. Based on the parameter estimates, the geographic areas were compared using the scale parameter. A variation of the Swait and Louviere method was used to find the optimal scale parameter ratios between pair-wise geographic areas. Heterogeneity of the parameter …
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Medical Image Registration Using Artificial Neural Network
… with curvelet keypoints are used to estimate the parameters of registration. Simulations show that the curvelet keypoints provide more accurate results than using the Discrete Cosine Transform (DCT) coefficients and Scale Invariant Feature Transform (SIFT) keypoints on rotation and scale parameter …
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Testing Criterion Validity of Benefit Transfer Using Simulated Data
… difference between the study and policy sites- scale parameter, substitution possibilities, observable characteristics, population preferences, measurement error in variables, and a case of preference heterogeneity at the study site and fixed preferences at the policy site. These cases of …
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Nonparametric Bayesian Quantile Regression via Dirichlet Process Mixture Models
… flexibility by mixing over both the locationparameter and the scale parameter. The posterior consistency of our proposed model isstudied carefully. And Markov chain Monte Carlo algorithms are provided for posteriorinference. The performance of our approaches is evaluated using simulated data …
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Bayes and minimum variance unbiased estimators of reliability using the truncated Weibull life testing model
… and minimum variance unbiased estimators for the scale parameter θ in the truncated Weibull life testing model when the shape parameter ρ assumed known. In addition, we shall estimate the corresponding reliability function of the above estimators. The first type of estimator of θ and the …
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Statistical studies of various time-to-fail distributions
… function. Several methods for estimating the parameters are given for each of these models. Also, various tests of hypotheses are considered in the case of the model with the linear hazard function. One of the models with a U-shaped hazard function has a location and a scale parameter, and it …
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Sparse signal representation based algorithms with application to ultrasonic array imaging
… use Weibull distribution function with two hyperparameters, namely the shape parameter and the scaling parameter, to model the prior distribution function of the reflectivity coefficients of the reflectors. As we show, the Weibull distribution, whose scale parameter obeys the inverse Gamma …
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The effects of instantons in a finite temperature quantum field theory
… only certain instantons, namely those with a scale parameter of ρ > β, make significant contributions to the inter-quark potential and spatial Wilson Loop in the dilute gas approximation at finite temperature. Finally, we point out the resemblance between these ρ > β instantons and monopoles. …
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Search For Contact Interactions In The Dielectron Channel In P-P Collisions At Sqrt(s) = 8 Tev At Cms
… interactions, 95% CL lower limits on the energy scale parameter are found for destructive (13.1 TeV) and constructive (18.3 TeV) interference between the contact and standard model amplitudes. These limits are the most stringent to date.</p>
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Robust, location-free scale estimators for the linear regression and k-sample models
In the last few years, estimators of the scale of a univariate distribution have been developed that are location-free in the sense that they do not depend on an estimate of the center of the underlying distribution. These proposed location-free estimators have generally been quite robust in terms …
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MODELING DIAMETER DISTRIBUTION OF LOBLOLLY PINE PLANTATIONS IN RESPONSE TO MID-ROTATION THINNING TREATMENTS AND ASSING THE ECONOMIC RETURNS IN WESTERN GULF COASTAL PLAIN
… across East Texas and Western Louisiana. A two-parameter Weibull distribution was used to model diameter distributions under varying thinning intensities, with parameter estimation conducted using both parameter prediction (PPM) and percentile-based (PRM) methods. The PRM approach demonstrated …
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A preliminary formalization of scale in topology optimization
… enforces a minimum feature size, also known as a scale, to avoid instability and inaccuracy in the optimized result. This is usually done by applying a discretized convolution kernel on either the density or the sensitivity values. It is not well-established, however, exactly how this filtering …
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Exploring the limits of a hadronic picture of nuclei through pion and nucleon removal reactions
… a completely different dependence on the hard-scale parameter. Recent A(e, e pi+) results point towards the early onset of the CT phenomenon in pion production processes. The similarities in the trends and magnitudes of the computed nuclear transparencies compared to semi-classical models …
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Stochastic Modelling of Heavy-Tailed Precipitations in Canadian Prairies
… a specification of a GARCH type model for the scale parameter of the GGCR distribution has been considered to capture the time-varying volatility. Meanwhile, for a model fitting method, the maximum likelihood estimation has been utilized with the profile log-likelihood algorithm. Furthermore, …
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Improvements to power system dynamic load model parameter estimation
… have difficulty uniquely identifying the model parameters because the models exhibit parameter insensitivity and interdependency: vastly different model parameters can produce the same output waveform for a given disturbance. One could argue that the parameters of a model are unimportant, as …
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A steady-state L-mode tokamak fusion reactor : large scale and minimum scale
… fusion reactors to identify (1) a favorable parameter space for a large scale steady-state reactor and (2) an operating point for a minimum scale steady-state reactor. The identification of the large scale parameter space is part of the 2008 MIT Nuclear Systems Design Project, which also …
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Estimation in Truncated Exponential Family of Distributions
<p>Estimating the parameters of a truncated distribution is a well known problem in statistical inference. The non-existence of the maximum likelihood estimator (m.l.e.) with positive probability in certain truncated distributions is not well known. To mention a few results in the literature:</p> …
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Estimating the Parameters of Truncated Distributions
… problem considered here is the estimation of the parameters of some special truncated distributions. If the sample observations are restricted to the interval {O, T} with T known, then it is well known in the literature that the method of maximum likelihood fails to provide a finite estimate, for …
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