Standard Guide for Statistical Analysis of Service Life Data

Importancia y uso:

4.1 Service life test data often show different distribution shapes than many other types of data. This is due to the effects of measurement error (typically normally distributed), combined with those unique effects which skew service life data towards early failure (infant mortality failures) or late failure times (aging or wear-out failures) Applications of the principles in this guide can be helpful in allowing investigators to interpret such data.

Note 2: Service life or reliability data analysis packages are becoming more readily available in standard or common computer software packages. This puts data reduction and analyses more readily into the hands of a growing number of investigators.

Subcomité:

G03.08

Referida por:

G0172-19R24, G0141-09R21

Volúmen:

14.04

Número ICS:

13.020.60 (Product life-cycles)