Master of Science (MS)
First Committee Member
Ashok K. Singh
Number of Pages
In this thesis we will develop a 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 distributions. In particular, we are interested in examining how these confidence intervals perform when the data is known to come from a skewed distribution. Our goal is to illustrate the superiority of our new method against a traditional parametric approach for estimating parameters, particularly on skewed data.
Confidence; Data; Evaluation; Intervals; Parametric; Performance; Skewed
University of Nevada, Las Vegas
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Solis, Monica, "Evaluation of performance of non-parametric confidence intervals on skewed data" (2003). UNLV Retrospective Theses & Dissertations. 1563.
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