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                                       Details van artikel 3 van 21 gevonden artikelen
 
 
  Comparing variances and means when distributions have non-identical shapes
 
 
Titel: Comparing variances and means when distributions have non-identical shapes
Auteur: Wilcox, Rand R.
Verschenen in: Communications in statistics
Paginering: Jaargang 19 (1990) nr. 1 pagina's 155-173
Jaar: 1990
Inhoud: The paper compares several methods for computing robust 1-α confidence intervals for σ12-σ22, or σ12/σ22, where σ12 and σ22 are the population variances corresponding to two independent treatment groups. The emphasis is on a Box-Scheffe approach when distributions have different shapes, and so the results reported here have implications about comparing means. The main result is that for unequal sample sizes, a Box-Scheffe approach can be considerably less robust than indicated by past investigations. Several other procedures for comparing variances, not based on a Box-Scheffe approach, were also examined and found to be highly unsatisfactory although previously published papers found them to be robust when the distributions have identical shapes. Included is a new result on why the procedures examined here are not robust, and an illustration that increasing σ12-σ22 can reduce power in certain situations. Constants needed to apply Dunnett's robust comparison of means are included.
Uitgever: Taylor & Francis
Bronbestand: Elektronische Wetenschappelijke Tijdschriften
 
 

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