The use of transformation can usually simplify the analysis of data,
especially when the original observations deviate from the underlying
assumption of linear model. Box-Cox transformation receives much more
attention than others. In this dissertation,. we will review the theory
about the estimation, hypotheses test on transformation parameter and
about the sensitivity of the linear model parameters in Box-Cox
transformation. Monte Carlo simulation is used to study the performance
of the transformations. We also display whether Box-Cox transformation
make the transformed observations satisfy the assumption of linear model
actually.
| Identifer | oai:union.ndltd.org:CHENGCHI/B2002003107 |
| Creators | 曾能芳, Zeng, Neng-Fang |
| Publisher | 國立政治大學 |
| Source Sets | National Chengchi University Libraries |
| Language | 中文 |
| Detected Language | English |
| Type | text |
| Rights | Copyright © nccu library on behalf of the copyright holders |
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