ON SAMPLE SIZE SIMULATION IN CENTRAL LIMIT THEOREM

博士 === 淡江大學 === 管理科學研究所博士班 === 93 === The central limit theorem is of crucial importance in many statistical applications. Given a large enough sample size, it enables us to make inferences about the population mean in cases where we do not know the specific shape of the population distribution and...

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Bibliographic Details
Main Authors: Chao-Hsien Wu, 吳昭賢
Other Authors: Horng-Jinh Chang
Format: Others
Language:zh-TW
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/19723785767261131687