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A sufficient normality condition for Turing's formula -

A sufficient normality condition for Turing's formula -

El Bayeh, Frederic Michael,
URI: http://hdl.handle.net/10938/20973
Date: 2017

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.

Description:

 
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)
 

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