Estimation of the probability a Brownian bridge crosses a concave boundary / by Fan Yang.

Author/creator Yang, Fan
Other author Carolan, Christopher (Christopher A.)
Other author East Carolina University. Department of Mathematics.
Format Theses and dissertations
Publication Info[Greenville, N.C.] : East Carolina University, 2010.
Description46 pages : illustrations (color), digital, PDF file
Supplemental ContentAccess via ScholarShip
Subjects

Summary This thesis studies a new method to estimate the probability that a Brownian bridge crosses a concave boundary. We show that a Brownian bridge crosses a concave boundary if and only if its least concave majorant crosses said concave boundary. As such, we can equivalently simulate the least concave majorant of a Brownian bridge in order to estimate the probability that a Brownian bridge crosses a concave boundary. We apply these theoretical results to the problem of estimating joint confidence intervals for a true CDF at every point. We compare this method to a traditional method for estimating joint confidence intervals for the true CDF at every point which is based upon the limiting distribution of what is often called the Kolmogorov-Smirnov distance, the sup-norm distance between the empirical and true CDFs. We indicate the disadvantages of the traditional approach and demonstrate how our approach addresses these weaknesses.
General notePresented to the faculty of the Department of Mathematics.
General noteAdvisor: Christopher Carolan.
General noteTitle from PDF t.p. (viewed Nov. 3, 2010).
Dissertation noteM.A. East Carolina University 2010.
Bibliography noteIncludes bibliographical references.
Technical detailsSystem requirements: Adobe Reader.
Technical detailsMode of access: World Wide Web.

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