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.
Results
Showing 1 to 20 of 458 for “"confidence intervals"”.
-
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 …
-
Sequentially Determined Bounded Length Confidence Intervals
Made available in DSpace on 2014-12-05T22:27:21Z (GMT). No. of bitstreams: 1 6000177.pdf: 3283653 bytes, checksum: d10b82c35f511d1bf0cf9bcd47ade87d (MD5) Previous issue date: 1959
-
Existence of Bounded Length Confidence Intervals
Made available in DSpace on 2014-12-05T22:27:22Z (GMT). No. of bitstreams: 1 6003996.pdf: 1261420 bytes, checksum: fbd6f5374a2ac7ed1a0d806a9108cd07 (MD5) Previous issue date: 1960
-
Image restoration using sub-images and confidence intervals
… blurred, and noisy. This work aims to compute confidence intervals for quantifying the uncertainty of a reconstructed image. By partitioning the image into sub-images, the algorithm remains effective while becoming more efficient. Sub-images also provide flexibility to focus on a local …
-
Methods For Constructing Confidence Intervals For Quantile Regression Coefficients
… describe and compare methods for constructing confidence intervals for quantile regression coefficients. We consider methods based on resampling, sparsity estimation, and test-inversion. In the latter group, along with the popular rank-score, we include methods based on linear and logistic …
-
Bootstrap-based confidence intervals in partially accelerated life testing
… bootstrap based methods for obtaining confidence intervals for the parameters of the life distribution as well as a the lower confidence bound for the mean life under normal conditions are developed for both the Weibull and Generalized exponential life distributions under Type I …
-
Confidence Intervals for Population Size in a Capture-Recapture Problem.
… Classical Chapman interval, Wilson and Wilson-cc intervals are examined and compared in terms of their expected interval width and exact coverage properties in two models. The new approach performs better than the Chapman in each model. Bayesian analysis also gives a different way to estimate …
-
Confidence intervals and measures of significant change for KINARM Standard Tests
… task. The results of this thesis revealed confidence intervals smaller than the population interval in 99% of task parameters. Significant learning effects were more prevalent in cognitive and motor-cognitive tasks when compared to sensory and motor tasks. Confidence intervals for …
-
Evaluation of performance of non-parametric confidence intervals on skewed data
… method for the construction of a non-parametric confidence interval and compare it to parametric confidence intervals for the mean of a population distribution. Using Monte Carlo simulation, we will examine the performance of both confidence intervals on data from different types of …
-
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 …
-
Estimation of Correlation Confidence Intervals via the Bootstrap: Non-Normal Distributions
<p>Estimating confidence intervals (CIs) for the correlation has been a challenge. The challenge stems from the metamorphic nature of the sampling distribution of the correlation being bound by-1≤ρ≤1. The nonparametric nature of the bootstrap makes it a good option for estimating correlation CIs. …
-
Asymptotic simultaneous confidence intervals for the probabilities of a multinomial distribution
Approximate formulae are derived for obtaining confidence intervals for the probabilities of a multinomial distribution. The approach used is to consider the Chi-square goodness of fit statistic as a function of the population parameters and to invert this function to obtain a set of simultaneous …
-
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 …
-
Performance of bootstrap confidence intervals for L-moments and ratios of L-moments.
… of the variable. So in order to be able to build confidence intervals we would need to know the distribution of the variable.</p><p>Bootstrapping is a resampling method that takes samples of size <i>n</i> with replacement from a sample of size <i>n</i>. The idea is to use the empirical …
-
Integrated-likelihood-ratio confidence intervals obtained from data via a double-sampling scenario.
… focus of statistical inference. Recently, confidence intervals (CIs) have been suggested as a superior inference form because of the additional information they provide to a scientist to aid decision making. For public health data, business data, and other types of data, misclassification …
-
Confidence intervals for the differences between treatment means in an analysis of variance
A method has been proposed for obtaining confidence intervals for the differences between treatment means in an analysis of variance. The intervals have the following properties: (1) The probability that the interval will cover the parameter is greater than or equal to (1 - α), and (2) If the same …
-
Confidence Intervals for the Difference and Ratio of Two Means from Independent Beta Distribution
… thesis explores constructing and evaluating confidence intervals for the difference and ratio of means from two independent Beta distributions using Maximum Likelihood Estimation (MLE) and the Wald method. It addresses the limitations of traditional methods due to the unique properties of …
-
Decision value of confidence intervals versus significance testing in surgical research: a mixed methods study
… interpretation. Significance testing and confidence intervals were rated to have the same value. When comparing the informal definition of confidence intervals to p-values, confidence intervals were rated more useful than p-values. A modified formula of expected utility theory has been …
Page 1 of 23