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.
Descriptors:
Subject Categories:
- Numerical Mathematics
- Test Facilities, Equipment and Methods
- Statistics and Probability