Date of Award
2008
Document Type
Thesis
Publication Status
Version of Record
Submission Date
October 2026
Thesis/Dissertation Advisor [Chair]
Radulovic, Dragan
Abstract
Determining the variance of a statistic (such as the sample median) can be difficult. Various methods of Bootstrapping (re-sampling with replacement) were used to estimate variance of one or more statistics based on a single sample. This estimator was compared to the empirical estimators based on repeated simulations of various sample sizes from a given distribution. Of particular interest was which of the methods of Bootstrapping were most effective with a dependent data set. Different degrees of dependency were used for the simulations with dependent data.
Extent
80 p.
Recommended Citation
Davis, Benjamin F., "The Use Of Overlapping Vs. Non-Overlapping Moving Block Bootstrapping To Estimate The Variance Of A Statistic Of Dependent Data" (2008). Electronic Theses and Dissertations 2000 - 2009. 1589.
https://digitalcommons.fau.edu/etd_general_5/1589
Identifier
FA00000738
Comments
Includes bibliography.|Thesis (M.S.)--Florida Atlantic University, 2008.|Charles E. Schmidt College of Science|FAU Electronic Theses and Dissertations Collection|Includes bibliography.