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Showing 1 to 13 of 13 for “"Confidence Region"”.

  1. Performance of Bootstrap Confidence Region For Binomial Distribution With Unknown Parameters p and m

    … is to find out the Performance of the bootstrap confidence region of a binomial distribution with unknown parameters. The research is designed as follow: The first step is to estimate unknown parameters m and p from binomial distribution. In my case, I focus on method of moment to estimate. Since …

    regina Repository record for Performance of Bootstrap Confidence Region For Binomial Distribution With Unknown Parameters p and m (opens in a new tab)

  2. Computational Aspects of An Asymptotic Analysis of Method of Moments Estimators of Parameters For the Binomial Distribution

    In this thesis, I evaluate the confidence region of the known parameters p and m of the Binomial distribution and analyze them using descriptive statistics. This research first introduces the method of moments estimators of these parameters, p ̂_n and m ̂_n. Because p ̂_n and m ̂_n do not have mean …

    regina Repository record for Computational Aspects of An Asymptotic Analysis of Method of Moments Estimators of Parameters For the Binomial Distribution (opens in a new tab)

  3. Multimodal biometrics score level fusion using non-confidence information

    … errors arise from samples in the overlapping region (or non- confidence region) between genuine users and impostors. In score space, a further separation of the samples outside the non-confidence region does not result in further verification improvements. Therefore, information contained in …

    nott-trent Repository record for Multimodal biometrics score level fusion using non-confidence information (opens in a new tab)

  4. CONFIDENCE REGIONS FOR OPTIMAL CONTROLLABLE VARIABLES FOR THE ROBUST PARAMETER DESIGN PROBLEM

    … transmission. However, this situation requires a confidence region for the multiple-solution factor levels that provides proper simultaneous coverage. This requirement has not been previously recognized in the literature. In the case where the number of control variables is greater than the number …

    temple Repository record for CONFIDENCE REGIONS FOR OPTIMAL CONTROLLABLE VARIABLES FOR THE ROBUST PARAMETER DESIGN PROBLEM (opens in a new tab)

  5. Maximum-likelihood-based confidence regions and hypothesis tests for selected statistical models.

    … is complex and does not yield easily-formed confidence regions of a coefficient parameter. Therefore, one can apply maximum likelihood (ML) asymptotic-based methods to construct a confidence region. Here, we invert a Wald statistic with a size-corrected critical value to construct a …

    baylor Repository record for Maximum-likelihood-based confidence regions and hypothesis tests for selected statistical models. (opens in a new tab)

  6. Model selection and analysis tools in response surface modeling of the process mean and variance

    … methods can be extended to building various confidence regions related to the process variance. Among these are a confidence region on the location of minimum process variance and a confidence region on the ratio of the process variance to the error variance. It is easy to see the importance …

    vt Repository record for Model selection and analysis tools in response surface modeling of the process mean and variance (opens in a new tab)

  7. On Some Aspects of Model Selection Variability

    … context of multivariate linear regression. The confidence region and its coverage probability are also estimated for the bagging estimators with those model selection methods.

    york Repository record for On Some Aspects of Model Selection Variability (opens in a new tab)

  8. A new approach to mass balance modeling: applications to igneous petrology

    … technique, combined with SVD methods allows the confidence regions to be calculated and expressed by a geometric shape centered on the x² optimal solution. The geometric shape varies with the dimension of the linear system: one-dimensional cases yield a line fragment; two-dimensional cases yield …

    ubc Repository record for A new approach to mass balance modeling: applications to igneous petrology (opens in a new tab)

  9. Empirical Likelihood With Applications

    … methods, such as automatic determination of the confidence region by the sample and transformation respecting, easy incorporation of side information, direct extension to biased sampling and censored data, good asymptotic power properties and Bartlete correctability. The empirical likelihood …

    nus Repository record for Empirical Likelihood With Applications (opens in a new tab)

  10. Modeling Error in Geographic Information Systems

    … I have also calculated the boundary of the confidence region explicitly, which has not been done before, and this will aid in the eventual inclusion of these methods in GIS software. Finally, I have included a statistical point deletion algorithm, designed for use in situations where map …

    vt Repository record for Modeling Error in Geographic Information Systems (opens in a new tab)

  11. Damage detection methodology for composite UAV wings using modal analysis and probabilistic concepts

    … the probabilistic material property database, a confidence region was established for wing mode shapes through a Monte Carlo procedure. It was shown that delamination effects are capable of perturbing the dynamic mode shapes beyond the confidence regions implied by the material uncertainties. …

    pretoria Repository record for Damage detection methodology for composite UAV wings using modal analysis and probabilistic concepts (opens in a new tab)

  12. Statistical methods for random rotations

    … dissertation we develop point estimation and confidence region methods for the central orientation.</p> <p>Both extrinsic and intrinsic approaches to estimating the central orientation S have been proposed in the literature, but no rigorous comparison of the approaches is available. In Chapter …

    iastate Repository record for Statistical methods for random rotations (opens in a new tab)

  13. Determining the likelihood of un-controllability in large scale systems

    Large-scale dynamical systems are of interest due to their broad applications in various areas, such as physiological systems, gene networks, large-scale energy systems, robot motions, multiple space air, and buildings. In such systems there are a large number of interconnected systems whose …

    colo-mines Repository record for Determining the likelihood of un-controllability in large scale systems (opens in a new tab)