Individuals Chart - Options - Estimate
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Stat > Control Charts > Variables Charts for Individuals > Individuals > I Chart Options >  Estimate

Allows you to omit certain observations to estimate m and s. For example, if some observations are erratic due to assignable causes that you have corrected, you can prevent these subgroups from influencing the estimation of process parameters. You can also select one of three methods to estimate s, change the length of the moving range, and use biased estimates of s.

When you include or exclude rows using control chart Options > Estimate and choose to perform a Box-Cox transformation, Minitab only uses the nonomitted data to find lambda.

You can set preferences for the estimation of s and the length of the moving range using Tools > Options > Control Charts and Quality Tools > Estimating Standard Deviation.

Caution

When you include or exclude rows using control chart > Data Options > Subset and also omit or use samples to estimate parameters, the omitted or used samples apply to the subsetted data. For example, you exclude subgroup 1 from your analysis (using control chart > Data Options > Subset), then decide to omit subgroup 2 from the parameter estimation (using control chart Options > Estimate). Because subgroup 1 is excluded from the control chart, the original subgroup 2 becomes the new subgroup 1. When you use control chart Options > Estimate, enter subgroup 1 as the subgroup to omit from parameter estimation.

Dialog box items

Omit the following subgroups when estimating parameters (eg, 3 12:15): Choose to specify observations to omit from the computations for m and s, then enter individual observation numbers.

Use the following subgroups when estimating parameters (eg, 3 12:15): Choose to specify observations to compute m and s, then enter individual observation numbers.

Method for estimating standard deviation

Subgroup size = 1

Average moving range: Choose to estimate s using the average of the moving range.

Median moving range: Choose to estimate s using the median of the moving range.

Square root of MSSD: Choose to estimate s using the square root of MSSD (half the mean of the squared successive differences).

Length of moving range: Type the length of the moving range. By default, Minitab uses a span of two because consecutive values have the greatest chance of being alike. The span must be < 100.

Use Nelson estimate: Check to correct for unusually large moving range values in the calculation of the control limits. The procedure is similar to the procedure proposed by Nelson [23]. Minitab eliminates any moving range values that are more than 3s larger than the average moving range, then recalculates the average moving range and control limits. Minitab repeats this procedure until no moving range values are more than 3s larger than the average moving range.

Use unbiasing constant: Check to use unbiasing constant; uncheck to use biased estimates of s.