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BS ISO 11929-3:2000

Withdrawn

Withdrawn

A Withdrawn Standard is one, which is removed from sale, and its unique number can no longer be used. The Standard can be withdrawn and not replaced, or it can be withdrawn and replaced by a Standard with a different number.

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Determination of the detection limit and decision threshold for ionizing radiation measurements Fundamentals and application to counting measurements by high resolution gamma spectrometry, without the influence of sample treatment

Available format(s)

Hardcopy , PDF

Withdrawn date

20-02-2019

Language(s)

English

Published date

03-09-2004

€165.94
Excluding VAT

Foreword
Introduction
1 Scope
2 Normative reference
3 Terms and definitions
4 Symbols
5 Statistical values and confidence interval
  5.1 Principles
  5.2 Decision threshold
  5.3 Detection limit
  5.4 Confidence interval
6 Application of this part of ISO 11929 (see annex A)
  6.1 Specified values
  6.2 Specifications of regions
  6.3 Determination of background
  6.4 Assessment of a measuring procedure
  6.5 Assessment of measured results
  6.6 Documentation
Annex A (informative) Example of application of this
                      part of ISO 11929
Bibliography

Specifies suitable statistical values which allow an assessment of the detection capabilities in high resolution gamma spectrometric ionizing radiation measurements, without the influence of sample treatment.

Committee
NCE/2
DevelopmentNote
Supersedes 94/714628 DC. (07/2005)
DocumentType
Standard
Pages
18
PublisherName
British Standards Institution
Status
Withdrawn
SupersededBy
Supersedes

Standards Relationship
ISO 11929-3:2000 Identical

DIN 25482-5:1993-06 LIMIT OF DETECTION AND LIMIT OF DECISION FOR NUCLEAR RADIATION MEASUREMENTS - COUNTING MEASUREMENTS BY HIGH RESOLUTION GAMMA SPECTROMETRY, NEGLECTING THE INFLUENCE OF SAMPLE TREATMENT
DIN 25482-5 Beiblatt 1:1997-12 DETECTION LIMIT AND DECISION THRESHOLD FOR NUCLEAR RADIATION MEASUREMENTS - PART 5: COUNTING MEASUREMENTS BY HIGH RESOLUTION GAMMA SPECTROMETRY, NEGLECTING THE INFLUENCE OF SAMPLE TREATMENT - EXAMPLES AND COMMENTS

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