A Fast and Efficient Algorithm for the Estimation of Parameters in Models with the Box-and-Cox Transformation
- 1 December 1982
- journal article
- research article
- Published by JSTOR in Journal of the American Statistical Association
- Vol. 77 (380) , 760
- https://doi.org/10.2307/2287303
Abstract
A modified Newton algorithm for the estimation of parameters in models containing the Box-Cox transformation is presented. It is shown that the usual maximum likelihood estimator for the k linear parameters and the m power transformation parameters may be specified as an m-parameter nonlinear least squares estimator. Several models containing Box-Cox transformations are estimated and the speed and efficiency of the modified algorithm compared with three other gradient estimation techniques. The modified Newton algorithm obtains the same parameter estimates, but two to four times faster.Keywords
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