2002 | OriginalPaper | Chapter
Optimization
Authors : W. N. Venables, B. D. Ripley
Published in: Modern Applied Statistics with S
Publisher: Springer New York
Included in: Professional Book Archive
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Statisticians1 often under-estimate the usefulness of general optimization methods in maximizing likelihoods and in other model-fitting problems. Not only are the general-purpose methods available in the S environments quick to use, they also often outperform the specialized methods that are available. A lot of the software we have illustrated in earlier chapters is based on the functions described in this. Code that seemed slow when the first edition was being prepared in 1993 now seems almost instant.