Summary:
eFITS ( link currently only accessible to NIST staff) is a webbased tool used to generate graphs, tables, and random numbers for a large number of probability distributions. In addition, it can fit distributions to usersupplied data.
The methodolgy used to develop eFITS is being extended to the eMetrology project (link currently restricted to NIST staff). eMetrology provides forms for common metrology problems encountered by NIST scientists and engineers.
Description:
eFITS is a webbased tool, currently available to NIST staff, used to perform the following tasks for over 100 probability distributions.
 Generate graphs of probability functions (probability density, cumulative distribution, inverse cumulative distribution, hazard, cumulative hazard, survival, inverse survival).
 Generate tables for each of these probability functions.
 Generate random numbers from the specified distribution.
 Fit the distribution to usersupplied data. The fit analysis will include parameter estimation and diagnostic analysis of the fit.
eMetrology is also a webbased tool currently available to NIST staff that can be used to perform the following tasks.
 Uncertainty following the ISO Guide to the Expression of Uncertainty in Measurement (GUM). Utilizes the Rbased gummer routines written by HungKung Liu, Will Guthrie and Antonio Possolo.
 Consensus means utilizing various methods. Consensus means are a key component of many SRM analyses.
 Interlaboratory analysis based on ASTM standard E691 and proficiency testing based on ASTM standards E2489A and E2489B. Youden plots and bivariate normal tolerance region plots.
 A limit of detection analysis based on the proposed ASTM WK 19817. This implements a method developed by Andrew Rukhin, Stefan Leigh and Michael Verkouteren (of CSTL).
 Outlier detection for univariate normal data.
 Jim Filliben's 10step analysis of full and fractional factorial designs.
 Linear and quadratic calibration and errorsinvariables regression.
 One and two factor analysis of variance with supporting graphics.

Lead Organizational Unit:
itl
Staff:
Alan Heckert, ITL
Antonio Possolo, ITL
Charles Hagwood, ITL
Will Guthrie, ITL
Andrew Rukhin, ITL
James Filliben, ITL
HungKung Liu, ITL
Bill Strawderman, ITL
Michael Verkouteren, CSTL
Noorulain Saddiqi, ITL SURF Student
Cameron Rose, ITL SURF Student
Guy Cao, ITL SURF Student
Svletlana Rabinovich, ITL SURF Student
Related Programs and Projects:
