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Showing 1 to 20 of 554 for “"Confidence Interval"”.
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Finding a Better Confidence Interval for a Single Regression Changepoint Using Different Bootstrap Confidence Interval Procedures
… but there is not much literature concerning confidence intervals for regression changepoints. The purpose of this paper is to find a better bootstrap confidence interval for a single regression changepoint. ("Better" confidence interval means having a minimum length and coverage probability …
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Confidence-Interval Financial Statements: An Empirical Investigation
Made available in DSpace on 2014-12-14T13:33:55Z (GMT). No. of bitstreams: 1 7606818.pdf: 5925722 bytes, checksum: 4175511379cf17aef8d463f3a015afcd (MD5) Previous issue date: 1975
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Confidence Interval for the Mean of a Beta Distribution
… likelihood-based techniques to evaluate various confidence interval techniques for the mean of a beta distribution. Simulation studies will be implemented to compare the performance of the confidence intervals. In addition to the development and study involving confidence intervals, we will also …
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Confidence Interval Estimation of Cumulative Incidence for Clustered Competing Risks
… incidence for an outcome and its associated confidence interval under competing risks do not account for the effect of clustering. This may cause incorrect estimation of confidence intervals because outcomes among patients from the same center are correlated. This thesis compared six …
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Simulation Study on Confidence Interval Estimation for Standard Deviation with Non-Normal Distributions
… explores innovative approaches to constructing confidence intervals for the population standard deviation, σ, in non-normal data scenarios. While the sample standard deviation, s, is widely used, its reliability is compromised when dealing with skewed or heavy-tailed distributions and exhibits …
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Confidence Interval Estimation for Distribution Systems Power Consumption by Using the Bootstrap Method
… is to estimate, for a distribution network, confidence intervals containing the values of nodal hourly power consumption and nodal maximum power consumption per customer where they are not measured. The values of nodal hourly power consumption are needed in operational as well as in planning …
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A summary of confidence interval estimation of standard and certain non-centrality parameters
In this thesis, confidence bounds on simple and more complex parameters are stated along with detailed computational procedures for finding these confidence bounds from the given data. Confidence bounds on the more familiar parameters, i.e., μ, ơ², μ₁ - μ₂, and ơ²₁/ơ²₂, are briefly presented for …
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Simulation results of a sequential fixed-width confidence interval for a function of parameters
Photocopy of typescript.
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Simulation results of a sequential fixed-width confidence interval for a function of parameters
Photocopy of typescript.
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An Analysis of the Effects That Several Design Variables Have on the Accuracy and Precision of Glass’ Delta and Hedges’ g
… sizes found in an experimental situation. A confidence interval is an interval placed around a point estimate that indicates the precision with which the point estimate can be made. This paper provides an explanation of the concept of effect size estimation and confidence interval …
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Nonparametric statistical procedures for therapeutic clinical trials with survival endpoints
… to construct the corresponding bootstrap confidence interval procedures. Monte-Carlo simulations are performed to investigate the actual type I error of the proposed bootstrap procedures. It is found that the type I error of the bootstrap BC confidence interval procedure is close to the …
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On finding confidence intervals for the inverse regression method of linear calibration
… x. The purpose of this dissertation is to find confidence intervals for the Inverse Method of linear calibration, then make a comparison of the Inverse and Classical estimators using the criterion of confidence intervals. First, Monte Carlo techniques are used to determine the worth of a Bayes …
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A Retrospective Claims Analysis of the Utilization of Services by Medicaid-Enrolled Adults Seeking Treatment for Major Depressive Disorder (MDD) in Washington State
… of subjects received adequate psychotherapy (95% confidence interval, 29.1% to 30.9%), less than 1% of subjects received adequate pharmacotherapy (95% confidence interval, 0.0004% to 0.002%), and 70% of subjects received inadequate treatment for their diagnoses of MDD (95% confidence interval, …
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Confidence Intervals on Cost Estimates When Using a Feature-based Approach
… explains the methodology for deriving the confidence interval on the cost estimate of a part, when a feature-based approach is used. The components of a steam turbine are used in order to demonstrate the methodology. With a parametric approach to estimate cost, developing a confidence …
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Coverage Properties of the Inverse Sinh Transformation and the Adjusted Wald Confidence Intervals for the Odds Ratio and the Relative Risk.
<p>The inverse sinh transformation on the Woolf interval is used to calculate the confidence interval for the odds ratio and the relative risk in a 2 x 2 table. According to Robert Newcombe, the new interval should improve the coverage probabilities and shorten the width of the confidence interval …
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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 …
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The effect of nonrandom selection of clusters in a two stage cluster design
… random selection by examining the range of the confidence interval that is returned for each simulation. After conducting the study, it was evident that using purposeful selection can yield a confidence interval up to nine times greater than that of its random counterpart.</p>
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Confidence intervals for exposure risk assessment
… from exposure to the pollutant of concern, a confidence interval estimate of Q is needed. In the case of independent normal random variables, point estimates and certain types of interval estimates of a product of several parameters exist in the literature, but not for a ratio of products. In …
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Estimation of Uncertainties and Validation of Computational Models for Structural Concrete
… validation is able to appropriately estimate the confidence interval of experimental observation, identify important sources of bias of computational models, and evaluate the model safety factor.
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