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Showing 1 to 20 of 35 for “"jackknife"”.
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A Jackknife Empirical Likelihood Approach To Goodness Of Fit U-Statistic Testing With Side Information
… to goodness of fit U-statistics testing, the jackknife empirical likelihood of Jing, <em>et al.</em> (2009) is justified with an alternative approach, and the Wilks theorem for vector U-statistics is proved. This generalizes Owen's empirical likelihood theorem for a vector mean to a vector …
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Essays in Econometrics
… In the first two chapters I consider the use of jackknife bias correction techniques to deal with the incidental parameters bias that arises from including fixed effect parameters in nonlinear models. The final chapter deals with the properties of common linear instrumental variables methods in …
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Aplicação de técnicas estatísticas de reamostragem em hidrologia
… parameters: the Bayesian, the Bootstrap and the Jackknife. Both Bootstrap and Jackknife are called Resampling Methods. The Bootstrap is applied to decide the amount of information needed for modeling the one hundred year flood. It is shown that the resampling techniques are reasonably accurate …
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Three essays on bias, bias reduction and estimation in autoregressive time series models
… The essay also shows how one can construct a jackknife and a simple bias-reduced estimator for stationary series by use of the bias function. A simple Monte Carlo experiment provides evidence that the three estimators outperform OLS in terms of their bias reduction capabilities. Given the …
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Multivariate nichemetrics
… and accuracy is investigated. Two methods, the jackknife and the bootstrap, arc described for estimating the bias and variance of an estimated measure. The performance of these methods was evaluated using simulation. When the number of variables involved in the model is large, the estimates of …
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Maximum empirical likelihood estimation in U-statistics based general estimating equations
… (UGEE's). Our technical maneuver is the jackknife empirical likelihood (JEL) approach. We give the local uniform asymptotic normality condition for the log-JEL for UGEE's. We derive the estimating equations for finding MELE's and provide their asymptotic normality. We obtain easy MELE's …
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Empirical Likelihood With Applications
… the computation burden is quite heavy. The Jackknife Empirical Likelihood method, brought out by Jing et al. (2009), is surprisingly easy to cope with nonlinear statistics and largely relieves computation burden. In this thesis, we first apply the jackknife empirical likelihood method to …
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Comparison of Modern Controls and Reinforcement Learning for Robust Control of Autonomously Backing Up Tractor-Trailers to Loading Docks
… of times the controllers cause the vehicle to jackknife or reach the goal. Considering the runs where the LQR did not cause the trailer to jackknife, the LQR tended to have slightly better precision. DDPG, however, controlled the trailer successfully on the paths where the LQR jackknifed. …
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Parametric, Non-Parametric And Statistical Modeling Of Stony Coral Reef Data
… made on the pseudovalues obtained from the jackknife procedure for the Shannon-Wiener diversity index used in previous studies. We investigate a new and more effective approach to estimating the Shannon-Wiener and Simpson's diversity index. In chapter four, we develop the best possible …
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Estimation of hidden carriers of infectious diseases
… against those results, such as a second order jackknife, a SAIRS epidemic model, and an incidence rate.
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Advances in Sobol' Index Estimation: Metamodeling, Multilevel Monte Carlo Metamodeling, and Nested Simulation Techniques
… nested simulation frameworks with robust jackknife-based estimators and introduce a novel method combining nested simulation with Latin hypercube sampling for enhanced efficiency. For scenarios where experimental design is infeasible, we propose a partition-based approach enabling Sobol' …
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Étude par simulation numérique du comportement routier de véhicule de type tracteur/semi-remorque
… à l'articulation par différents dispositifs anti-jackknife, sont également modélisées dans le cadre de cette étude. Une analyse des réponses temporelles, obtenues en intégrant numériquement le système d'équations obtenu précédemment, complète le sujet de ce mémoire. Dans les pages qui suivent le …
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Techniques for Estimating the Variance of Specific Estimators within Complex Surveys
… the variance and introduces the Bootstrap and Jackknife approaches. In Chapter 5 the ideas behind what is considered to be a "complex survey" are described and two nationally known complex surveys (NHANES and NHIS) currently being done in the U.S. are explained as examples. Chapter six reports …
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Quantifying distribution and transport of contaminated sediments in the St. Clair River: The GIS approach (Ontario, Michigan).
… of the predictions was estimated with a jackknife resampling technique. The procedure was refined with the acoustic sediment profiles, which allowed for the representation of highly patchy and heterogenic distribution of fine sediments in the area of study. (Abstract shortened by …
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Evaluation of capture-recapture estimators using a cyclic snowshoe hare population
… that the CAPTURE heterogeneity models Mh (jackknife), Mh (Chao), and Mth(time/heterogeneity) were approximately unbiased for the island population of hares. All other CAPTURE models displayed a negative bias. The program CAPTURE model selection routine picked models of different bias for …
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Kladistische Untersuchung mit morphologischen und chemischen Merkmalen zur Gliederung der Lamiaceae
… Merkmale charakterisiert ist und durch hohe Jackknife- und Bootstrap-Werte gestützt wird. Daher schlagen wir die Eingliederung von Premna und Gmelina in die Scutellarioideae vor. Anisomeles erschien in unserer Untersuchung bei den Lamioideae. Diese Stellung unterstützt die Zugehörigkeit von …
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Metodología de estimación automática de parámetros de suelos arenosos en ensayos presiométricos
… desviación típica (Nash, 1987) y la técnica de Jackknife (Efron, 1982). Los datos que se emplean para llevar a cabo y validar esta metodología proceden de un conjunto de ensayos presiométricos (SBP) drenados realizados en celda de calibración con arenas del Ticino (Belloti et al, 1987). Con todo …
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Charmonium correlation and spectral functions in quenched lattice QCD at finite temperature
… The statistical errors are obtained using the Jackknife method and are calculated on every point of the extracted spectral function.
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Route choice responses to variable road user charges and traffic information
… in the main survey data is corrected using the jackknife method and Kocur's method. A regression method is used in the analysis of the additional survey data. Some results reveal that Utility Theory was not enough to explain the results. Therefore, Prospect Theory is applied to the results and …
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Finite sample properties of the maximum likelihood estimator in continuous time models
… in the literature, these being the bootstrap, jackknife, and indirect inference. A Monte Carlo experiment shows that all approaches deliver substantial bias reductions. We also explore the robustness of the results to model misspecifications, and provide an empirical application to the broad …
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