SControlLimits - Maple Help
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ProcessControl

  

SControlLimits

  

compute control limits for the S chart

 

Calling Sequence

Parameters

Description

Computation

Options

Examples

References

Calling Sequence

SControlLimits(X, n, options)

Parameters

X

-

data

n

-

(optional) sample size

options

-

(optional) equation(s) of the form option=value where option is one of confidencelevel, ignore, or sigma; specify options for computing the control limits

Description

• 

The SControlLimits command computes the upper and lower control limits for the S chart. Unless explicitly given, the standard deviation of the underlying quality characteristic is computed based on the data.

• 

The first parameter X is either a single data sample - given as a Vector or list - or a list of data samples. Each value represents an individual observation. Note, that the individual samples can be of variable size.

• 

If X is a single data sample, the second parameter n is used to specify the size of individual samples.

Computation

• 

All computations involving data are performed in floating-point; therefore, all data provided must have type realcons and all returned solutions are floating-point, even if the problem is specified with exact values.

• 

For more information about computation in the ProcessControl package, see the ProcessControl help page.

Options

  

The options argument can contain one or more of the following options.

• 

confidencelevel=realcons -- This option specifies the required confidence level. The default value is 0.9973, corresponding to a 3 sigma confidence level.

• 

ignore=truefalse -- This option controls how missing values are handled by the SControlLimits command. Missing values are represented by undefined or Float(undefined). So, if ignore=false and X contains missing data, the SControlLimits command returns undefined. If ignore=true, all missing items in X are ignored. The default value is true.

• 

sigma=deduce or realcons -- This option specifies the standard deviation of the underlying quality characteristic.

Examples

Sample Size:              constant
Estimated Sigma:          .0106658727200108

(1)

Sample Size:              constant
Estimated Sigma:          .0106658727200108

(2)

Sample Size:              variable

(3)

Sample Size:              variable

(4)

References

  

Montgomery, Douglas C. Introduction to Statistical Quality Control. 2nd ed. New York: John Wiley & Sons, 1991.

See Also

infolevel

ProcessControl

ProcessControl[RChart]

ProcessControl[SChart]

ProcessControl[XBarChart]

Statistics

 


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