A sufficient normality condition for Turing's formula -
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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.
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Thesis. M.S. American University of Beirut. Department of Mathematics, 2017. T:6603
Advisor : Dr. Abbas Al Hakim, Associate Professor, Mathematics ; Committee members : Dr. Nabil Nassif, Professor, Mathematics ; Dr. Stefano Monni, Assistant Professor, Mathematics.
Includes bibliographical references (leaves 53-54)
Advisor : Dr. Abbas Al Hakim, Associate Professor, Mathematics ; Committee members : Dr. Nabil Nassif, Professor, Mathematics ; Dr. Stefano Monni, Assistant Professor, Mathematics.
Includes bibliographical references (leaves 53-54)