Estimating the mean of heavy tailed distribution under truncation

The objective of this book is to collect and simplify what has been done in the study of extreme values theory. This branch is interested in rare events and the causes of all disasters we know and of all economic crises. In addition, the second objective is to present an introduction that is devoted to the basic notions of survival analysis. Furthermore, we present two cases of incomplete data (censored and truncated) with giving the non-parametric estimator of the mean for each case.

Autorentext

Doctor in mathematical statistics. have a Ph.D. degree in mathematics, statistical option (March 2022) from University of Biskra, Algeria her research interest focus on mean estimation for heavy tailed distribution and incomplete data. she has published research articles in different international reputed journals of mathematics.