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| dc.contributor.author | El Bayeh, Frederic Michael, |
| dc.date.accessioned | 2017-12-11T16:30:49Z |
| dc.date.available | 2017-12-11T16:30:49Z |
| dc.date.issued | 2017 |
| dc.date.submitted | 2017 |
| dc.identifier.other | b19185996 |
| dc.identifier.uri | http://hdl.handle.net/10938/20973 |
| dc.description | Thesis. M.S. American University of Beirut. Department of Mathematics, 2017. T:6603 |
| dc.description | Advisor : Dr. Abbas Al Hakim, Associate Professor, Mathematics ; Committee members : Dr. Nabil Nassif, Professor, Mathematics ; Dr. Stefano Monni, Assistant Professor, Mathematics. |
| dc.description | Includes bibliographical references (leaves 53-54) |
| dc.description.abstract | In this thesis, we will study the Turing's formula, which is a formula used to estimate the sample coverage probability. We will establish a necessary and sufficient condition for the asymptotic normality (i.e. a central limit theorem for Turing's formula). Also, we will discuss its statistical applications. |
| dc.format.extent | 1 online resource ( ix, 54 leaves) |
| dc.language.iso | eng |
| dc.relation.ispartof | Theses, Dissertations, and Projects |
| dc.subject.classification | T:006603 |
| dc.subject.lcsh | Limit theorems (Probability theory) |
| dc.subject.lcsh | Probabilities. |
| dc.subject.lcsh | Estimation theory. |
| dc.title | A sufficient normality condition for Turing's formula - |
| dc.type | Thesis |
| dc.contributor.department | Faculty of Arts and Sciences. |
| dc.contributor.department | Department of Mathematics., |
| dc.contributor.institution | American University of Beirut. |
