ISO 11843-6
Capability of detection — Part 6: Methodology for the determination of the critical value and the minimum detectable value in Poisson distributed measurements by normal approximations
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| Organization: | ISO |
| Publication Date: | 1 February 2019 |
| Status: | active |
| Page Count: | 30 |
| ICS Code (Application of statistical methods): | 03.120.30 |
| ICS Code (Metrology and measurement in general): | 17.020 |
scope:
This document presents methods for determining the critical value of the response variable and the minimum detectable value in Poisson distribution measurements. It is applicable when variations in both the background noise and the signal are describable by the Poisson distribution. The conventional approximation is used to approximate the Poisson distribution by the normal distribution consistent with ISO 11843-3 and ISO 11843-4.
The accuracy of the normal approximation as compared to the exact Poisson distribution is discussed in Annex C.
Document History
ISO 11843-6
February 1, 2019
Capability of detection — Part 6: Methodology for the determination of the critical value and the minimum detectable value in Poisson distributed measurements by normal approximations
This document presents methods for determining the critical value of the response variable and the minimum detectable value in Poisson distribution measurements. It is applicable when variations in...
March 15, 2013
Capability of detection - Part 6: Methodology for the determination of the critical value and the minimum detectable value in Poisson distributed measurements by normal approximations
This part of ISO 11843 presents methods for determining the critical value of the response variable and the minimum detectable value in Poisson distribution measurements. It is applicable when...
March 15, 2013
Capability of detection - Part 6: Methodology for the determination of the critical value and the minimum detectable value in Poisson distributed measurements by normal approximations
This part of ISO 11843 presents methods for determining the critical value of the response variable and the minimum detectable value in Poisson distribution measurements. It is applicable when...