臺灣博碩士論文加值系統

鍵入論文的中文摘要

In this study, we compare two approximate confidence interval estimators for the Bernoulli
parameter $p$. The approximate confidence intervals are based on the normal and Poisson approximations
to binomial. The related tables and figures which are given here are helpful to indicate which
approximation is more approriate. Besides, we also use the Greenwood's formula as a transformation to
compare its convergence to normality with that of arcsine transformation.

Chapter 1 Introduction
Chapter 2 Basic concepts and transformation
Chapter 3 Simulation and results
Chapter 4 Conclusions

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