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Z-Statistic for Measurement Gross Error? strategy
- saqibmaqbool
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5 years 7 months ago #421
by saqibmaqbool
Z-Statistic for Measurement Gross Error? strategy was created by saqibmaqbool
Dear Sir
Does STAN provide any statistic to indicate possible gross error in measurements?
please advise
Does STAN provide any statistic to indicate possible gross error in measurements?
please advise
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- saqibmaqbool
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5 years 7 months ago - 5 years 7 months ago #422
by saqibmaqbool
Replied by saqibmaqbool on topic Z-Statistic for Measurement Gross Error? strategy
sometimes the measurement accuracy is not certain, so can Stan use a Z-static of the reconciled value to inform a possible fault in the specified measurement accuracy?
Last edit: 5 years 7 months ago by saqibmaqbool.
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5 years 7 months ago #423
by adminST
Replied by adminST on topic Z-Statistic for Measurement Gross Error? strategy
Yes, STAN supports gross error detection:
After having performed a calculation (with algorithm Cencic 2012), you will find the according messages in the trace output on the bottom of the user interface. If a gross error has been detected, the possibly responsible entities will be listed (click on them to highlight them in the system diagram). If no gross error can be found, you will find information about the value of the objective function (weighted least squares approach), a data reconciliation quality indicator and a summary of the standard scores of the reconciled vales.
More detailed information on this topic can be found in our context sensitive help file (press F1 to open it) under Manual > Calculation.
For more info about data reconciliation see stan2web.net/support/mfa-basics/data-reconciliation or our offered help videos ( stan2web.net/support/videos ).
After having performed a calculation (with algorithm Cencic 2012), you will find the according messages in the trace output on the bottom of the user interface. If a gross error has been detected, the possibly responsible entities will be listed (click on them to highlight them in the system diagram). If no gross error can be found, you will find information about the value of the objective function (weighted least squares approach), a data reconciliation quality indicator and a summary of the standard scores of the reconciled vales.
More detailed information on this topic can be found in our context sensitive help file (press F1 to open it) under Manual > Calculation.
For more info about data reconciliation see stan2web.net/support/mfa-basics/data-reconciliation or our offered help videos ( stan2web.net/support/videos ).
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