Atwood number

In statistics, when a usual one-way ANOVA is performed, it is assumed that the group variances are statistically equal. If this assumption is not valid, then the resulting F-test is invalid. The Brown–Forsythe test is a statistical test for the equality of group variances based on performing an ANOVA on a transformation of the response variable. The Brown–Forsythe test statistic is the F statistic resulting from an ordinary one-way analysis of variance on the absolute deviations from the median.

Transformation

The transformed response variable is constructed to measure the spread in each group. Let

$z_{ij}=|y_{ij}-{\tilde{y}}_j|$

where ${\tilde{y}}_j$ is the median of group j. The Brown–Forsythe test statistic is the model F statistic from a one way ANOVA on z_ij:

$F=\frac{(N-p)}{(p-1)}\frac{\sum _{j=1}^p{n}_j({\tilde{z}}_{\cdot j}-{\tilde{z}}_{\cdot \cdot }{)}^2}{\sum _{j=1}^p\sum _{i=1}^{n_j}(z_{ij}-{\tilde{z}}_{\cdot j}{)}^2}$

where p is the number of groups, n_j is the number of observations in group j, and N is the total number of observations. Also ${\tilde{z}}_{\cdot j}$ are the group means of the $z_{ij}$ and ${\tilde{z}}_{\cdot \cdot }$ is the overall mean of the $z_{ij}$.

If the variances are indeed heterogeneous, techniques that allow for this (such as the Welch one-way ANOVA) may be used instead of the usual ANOVA.

Good [1994,2005], noting that the deviations are linearly dependent, has modified the test so as to drop the redundant deviations.

Comparison with Levene's test

Levene's test uses the mean instead of the median. Although the optimal choice depends on the underlying distribution, the definition based on the median is recommended as the choice that provides good robustness against many types of non-normal data while retaining good statistical power. If one has knowledge of the underlying distribution of the data, this may indicate using one of the other choices. Brown and Forsythe performed Monte Carlo studies that indicated that using the trimmed mean performed best when the underlying data followed a Cauchy distribution (a heavy-tailed distribution) and the median performed best when the underlying data followed a Chi-squared distribution with four degrees of freedom (a heavily skewed distribution). Using the mean provided the best power for symmetric, moderate-tailed, distributions.

See also

• Bartlett's test for unequal variances, which is derived from the likelihood ratio test under the normal distribution.

External links

• NIST: Levene Test for Equality of Variances

References

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  Naturally, you will have to pay a safety deposit and that is usually one month rent for annually of the settlement. That is the place your good religion deposit will likely be taken into account and will kind part or all of your security deposit. Anticipate to have a proportionate amount deducted out of your deposit if something is discovered to be damaged if you move out. It's best to you'll want to test the inventory drawn up by the owner, which can detail all objects in the property and their condition. If you happen to fail to notice any harm not already mentioned within the inventory before transferring in, you danger having to pay for it yourself.
  
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