Accession Number:

ADP013724

Title:

A Bootstrap Algorithm for Mixture Models and Interval Data in Inter-Comparisons

Descriptive Note:

Conference paper

Corporate Author:

ISTITUTO PER LE APPLICAZIONI DEL CALCOLO ROME (ITALY)

Personal Author(s):

Report Date:

2001-07-01

Pagination or Media Count:

8.0

Abstract:

To combine the information from several laboratories to output a representative value chisub r and its probability distribution function is the main aim of an inter-comparison in Metrology. Here, the proposed procedure identifies a simple model for this probability function, by taking into account only the probability interval estimates as a measure of the uncertainty in each laboratory. A mixture density model is chosen to characterize the stochastic variability of the inter-comparison population considered as a whole. The bootstrap method is applied to approximate the distribution function of the comparison output in an automatic way.

Subject Categories:

  • Numerical Mathematics
  • Test Facilities, Equipment and Methods
  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE