Abstract: The Steins method, originally introduced by Stein (1972), gives us a novel wayto investigate normal approximation. This method has since been developed in different areas and can be applied to different distributional approximations. It is a very powerful tool to estimate the absolute error of approximations and also the relative error. In this thesis, we establish the uniform and non-uniform Berry-Esseen bound for a class of Studentized statistics via Steins method. In particular, we recover the optimal results for Students t-statistics, Studentized U-statistics and Studentized L-statistics.
ABSTRACT Currently statistics is used in society as social indicators that measure, for example crime rates, or research concerning health and medical issues, which are reported by the media. Educated citizens need to be able to understand statistics; it is assumed that adult students who graduate...
The primary purpose of this study is to determine the effectiveness of using simulations as an instructional tool in an introductory doctoral level statistics course. The study focuses on the impacts of simulations on students’ attitudes and understanding of statistical concepts, as well as...