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| Titel: |
Performance of the weighted least squares apprdach to categorical data analysis |
| Auteur: |
Drew, James H. |
| Verschenen in: |
Communications in statistics |
| Paginering: | Jaargang 14 (1985) nr. 8 pagina's 1963-1979 |
| Jaar: |
1985 |
| Inhoud: |
The weighted least squares method of Grizzle, Starmer and Koch is a common and convenient way to analyze categorical data. Tests of significance based on this method are typically performed by calculating a quadratic form which is asymptotically distrib-uted as a chi-square random variable under an appropriate null hy- pothesis. This paper explores the validity of this distributional approximation for small samples in terms of the accuracy and power associated with this chi-square statistic. We report simulation results from the weighted least squares method applied to balanced factorial experiments, The simulations which constitute the majorpart of this work also provide insight into the relative performance of several response functions. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 12 van 15 gevonden artikelen
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