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BS ISO 11929-7:2005

Superseded

Superseded

A superseded Standard is one, which is fully replaced by another Standard, which is a new edition of the same Standard.

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Determination of the detection limit and decision threshold for ionizing radiation measurements Fundamentals and general applications

Available format(s)

Hardcopy , PDF

Superseded date

31-03-2010

Superseded by

BS ISO 11929:2010

Language(s)

English

Published date

23-02-2005

€231.38
Excluding VAT

Foreword
Introduction
1 Scope
2 Normative references
3 Terms and definitions
4 Quantities and symbols
5 Statistical values and confidence interval
  5.1 General aspects
  5.2 Decision threshold
  5.3 Detection limit
  5.4 Confidence limits
6 Application of this part of ISO 11929
  6.1 Specific values
  6.2 Assessment of a measuring method
  6.3 Assessment of a measured result
  6.4 Documentation
7 Values of the distribution function of the standardized
  normal distribution
Annex A (informative) Example 1 of application of this part
                      of ISO 11929
Annex B (informative) Example 2 of application of this part
                      of ISO 11929
Bibliography

Defines suitable statistical values which allow an assessment of the detection capabilities in ionizing radiation measurements and of the physical effect quantified by the measurand.

Committee
NCE/2
DevelopmentNote
Supersedes 99/704987 DC. (02/2005)
DocumentType
Standard
Pages
28
PublisherName
British Standards Institution
Status
Superseded
SupersededBy
Supersedes

Standards Relationship
ISO 11929-7:2005 Identical

DIN 25482-10:2000-05 DETECTION LIMIT AND DECISION THRESHOLD FOR IONIZING RADIATION MEASUREMENTS - PART 10: GENERAL APPLICATIONS
ISO 11929-2:2000 Determination of the detection limit and decision threshold for ionizing radiation measurements Part 2: Fundamentals and application to counting measurements with the influence of sample treatment
ISO 11929-1:2000 Determination of the detection limit and decision threshold for ionizing radiation measurements Part 1: Fundamentals and application to counting measurements without the influence of sample treatment

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