Description Usage Arguments Details Value Author(s) References See Also Examples

A function for assessing the statistical performance of measurement uncertainty intervals for
particular metrology applications computed using the methods from the Joint Committee on
Guides in Metrology (JCGM) *Guide to the Expression of Uncertainty in Measurement (GUM)*.
The validation is carried out using the input values as true values in a simulation that
directly checks the attained coverage probability of the uncertainty
intervals produced using the `GUM`

function.

1 2 3 | ```
GUM.validate(var.name, x.i, u.i, nu.i, type, distribution, measurement.fnc,
correlation = diag(length(var.name)), shared.u.i = var.name, cl = 0.95,
cov.factor = "Student's t", sig.digits.U = 2)
``` |

`var.name` |
Character vector of input variable names. |

`x.i` |
Vector of input variable values. |

`u.i` |
Vector of standard uncertainties (i.e. standard errors) for each input variable value. |

`nu.i` |
Degrees of freedom associated with each standard uncertainty. |

`type` |
Character vector of values "A" and "B" indicating the methods used to evaluate the standard uncertainty of each input value. Standard uncertainties evaluated using statistical methods are denoted Type A in the GUM, while standard uncertainties evaluated using other means are denoted Type B. |

`distribution` |
Character vector of probability distributions associated with the potential values taken on by each input variable. The current possible choices are "Normal" (i.e. Gaussian), "Triangular", or "Rectangular" (i.e. Uniform). |

`measurement.fnc` |
Character string specifying the functional relationship between input variables that defines the output measurement result. |

`correlation` |
Matrix giving the correlation between the different input variable values. Default is to assume no correlation between input variable values. |

`shared.u.i` |
Character vector giving the relative relationship between the standard uncertainties for each variable value. Groups of variables based on a common shared standard uncertainty share will all share the same variable name. The default is to assume all standard uncertainties are assessed independently, resulting a value of shared.u.i that is identical to var.name. |

`cl` |
Nominal confidence level to be used to compute the expanded uncertainty of the output measurement result. Default value is 0.95. |

`cov.factor` |
Type of coverage factor to be used. The default is to use the value from the Student's t distribution with confidence level specified above and nu.eff effective degrees of freedom. |

`sig.digits.U` |
Number of significant digits to be reported in the expanded uncertainty of the measurement result. The measurement result will be rounded to the same number of decimal places. |

Currently 1000 simulated sets of uncertainty data are used for the computation of the attained confidence level.

A Monte Carlo assessment of the attained coverage of expanded uncertainty intervals like those produced
using the `GUM`

function for the application of interest.

Hung-kung Liu hung-kung.liu@nist.gov and Will Guthrie will.guthrie@nist.gov

Joint Committee on Guides in Metrology (JCGM), *Evaluation of Measurement Data Guide to the Expression of
Uncertainty in Measurement*, http://www.bipm.org/utils/common/documents/jcgm/JCGM_100_2008_E.pdf, 2008.

`GUM`

a function to compute GUM uncertainty intervals for general metrological applications.

1 2 3 |

metRology documentation built on May 2, 2019, 12:20 p.m.

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