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Laney Overdispersion (Sigma Z)¶
This page defines the Laney overdispersion factor \(\sigma_Z\), which corrects an attribute chart's control limits when the data are more (or less) variable than the binomial or Poisson model assumes. Quantum XL reports \(\sigma_Z\) as a diagnostic on every attribute chart and applies it to the limits on the Laney P' and Laney U' charts.
Notation¶
| Term | Description |
|---|---|
| \(v_i\) | the plotted statistic at subgroup \(i\) (proportion for p, defects-per-unit for u) |
| \(\text{CL}\) | the center line (\(\bar{p}\) or \(\bar{u}\)) |
| \(\sigma_i\) | the ordinary binomial or Poisson standard deviation at subgroup \(i\) |
| \(z_i\) | the standardized subgroup value |
| \(\overline{MR}_z\) | the average moving range of the \(z_i\) |
| \(d_2\) | the range-to-sigma constant for a moving-range window of two, \(d_2 = 1.1284\) |
| \(\sigma_Z\) | the overdispersion factor |
Standardized values¶
Each subgroup is standardized by its own ordinary sigma:
If \(\sigma_i \le 0\) the value is set to \(z_i = 0\).
Overdispersion factor¶
The factor is the average moving range of the \(z_i\) (a window of two, so \(MR_i = \lvert z_i - z_{i-1}\rvert\)) divided by \(d_2\):
Any moving-range window that spans a missing subgroup is dropped rather than bridged, and \(\overline{MR}_z\) is the plain mean of the surviving ranges. When \(\sigma_Z\) cannot be computed it is taken to be \(1\) (no correction).
Applying the factor¶
On the Laney charts the ordinary control limit is used with its sigma scaled by \(\sigma_Z\):
Diagnostic use¶
On the ordinary p, np, c, and u charts, \(\sigma_Z\) is computed and reported but not applied to the limits. A value near \(1\) indicates the binomial or Poisson model fits and the ordinary chart is appropriate; a value meaningfully above \(1\) indicates overdispersion, and the Laney P' or Laney U' chart is preferred.
Used by¶
- Laney P' Chart and Laney U' Chart apply \(\sigma_Z\) to the limits.
- p, np, c, and u report \(\sigma_Z\) as a diagnostic.
See Also¶
References¶
- Laney, D. B. (2002). Improved control charts for attributes. Quality Engineering, 14(4), 531-537.
- Montgomery, D. C. (2013). Introduction to Statistical Quality Control, 7th ed. Wiley.