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政大典藏 > College of Commerce > Department of Statistics > Theses > Item 140.119/87300

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/87300

Title:	The Box-Cox 依變數轉換之技巧 The Box-Cox Transformation: A Review
Authors:	曾能芳 Chan, Lan Fun
Contributors:	鄭天澤曾能芳 Chan, Lan Fun
Keywords:	強力轉換常態化轉換架構變數分數檢定敏感性 power transformation normalized transformation constructed variable scores test Andrews`s exact test sensitivity
Date:	1996
Issue Date:	2016-04-28 11:48:22 (UTC+8)
Abstract:	The use of transformation can usually simplify the analysis of data, especiallywhen the original observations deviate from the underlying assumption of linearmodel. Box-Cox transformation receives much more attention than others. Inthis dissertation, we will review the theory about the estimation, hypotheses test on transformation parameter and about the sensitivity of the linear model parameters. Monte Carlo simulation is used to study the performance of the transformation. We also display whether Box-Cox transformation makes the transformed observations satisfy the assumption of linear model actually.
Description:	碩士國立政治大學統計學系 82354003
Source URI:	http://thesis.lib.nccu.edu.tw/record/#B2002002785
Data Type:	thesis
Appears in Collections:	[Department of Statistics] Theses

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