Abstract
Abstract This thesis is aiming to demonstrate and compare the different methods of constructing a two-sided confidence intervals for the coefficient of variation (CV), or that, for signal–tonoise ratio (SNR) of a Poisson distribution based on bootstrapping simulating techniques. As an introductory chapter of this thesis, chapter one is designed to include a comprehensive introduction. Chapter two is devoted to review aspects and definitions of all seven adopted methods of confidence intervals for the Poisson coefficient of variation (CV) as well as the confidence intervals for the signal–to-noise ratio (SNR) as a reciprocal of the CV.