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| Titel: |
The starship |
| Auteur: |
Owen, D. B. |
| Verschenen in: |
Communications in statistics |
| Paginering: | Jaargang 17 (1988) nr. 2 pagina's 315-323 |
| Jaar: |
1988 |
| Inhoud: |
The starship is developed as an alternative or companion procedure to the bootstrap. There are many possible transformations of data to normality. The starship procedure selects that transformation which maximizes some measure of normality for the sample. After an optimum transformation is found, percentiles of the original distribution may be estimated from the percentiles of the normal distribution by inverting the transformation in a particular way. Also, the moments of the original distribution may be estimated by computing the moments of the inverse transformation with respect to the normal. This then allows us to set up both interval and point estimates for parameters of the original distribution. Thus, instead of building a representation of the population for a statistic by resampling the sample, as is done in the bootstrap, we propose to use computing power instead to search out a transformation that most nearly transforms the sample to normality and, hence, transforms |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 22 van 23 gevonden artikelen
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