Reduction of Confidence Interval Length for Small-Normal Data Sets Utilizing Bootstrap and Conformal Prediction Methods
<p> It is of common practice to evoke a t-confidence interval for estimating the mean of a small data set with an assumed Normal distribution. These t-intervals are known to be wide to account for the lack of information. This thesis will focus on exploring ways to reduce the length of the int...
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Language: | EN |
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California State University, Long Beach
2018
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Online Access: | http://pqdtopen.proquest.com/#viewpdf?dispub=10840988 |