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분야 | ISO/TMBG : Technical Management Board - groups |
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적용범위 | ISO/IEC Guide 98-3:2008 is a reissue of the 1995 version of the Guide to the Expression of Uncertainty in Measurement (GUM), with minor corrections. This Guide establishes general rules for evaluating and expressing uncertainty in measurement that can be followed at various levels of accuracy and in many fields — from the shop floor to fundamental research. The principles of this Guide are intended to be applicable to a broad spectrum of measurements, including those required for:
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국제분류(ICS)코드 | 17.020 : 계량 및 측정 일반 |
페이지수 | 120 |
Edition | 1 |
No. | 표준번호 | 표준명 | 발행일 | 상태 |
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1 | ISO/IEC GUIDE 98-3:2008 | Uncertainty of measurement - Part 3: Guide to the expression of uncertainty in measurement (GUM:1995) | 2008-09-30 | 표준 |
2 | ISO/IEC Guide 98-3:2008 | Uncertainty of measurement — Part 3: Guide to the expression of uncertainty in measurement (GUM:1995) | 2008-09-30 | 표준 |
ISO/IEC GUIDE 98-3:2008 - Uncertainty of measurement - Part 3: Guide to the expression of uncertainty in measurement (GUM:1995) 상세보기
ISO/IEC GUIDE 98-3-SP1:2008 - Uncertainty of measurement - Part 3: Guide to the expression of uncertainty in measurement (GUM:1995) - Supplement 1: Propagation of distributions using a Monte Carlo method 상세보기
ISO/IEC GUIDE 98-3-SP1:2008/COR1:2009 - Uncertainty of measurement - Part 3: Guide to the expression of uncertainty in measurement (GUM:1995) - Supplement 1: Propagation of distributions using a Monte Carlo method - Technical Corrigendum 1 상세보기
ISO/IEC Guide 98-1:2009 - Uncertainty of measurement — Part 1: Introduction to the expression of uncertainty in measurement 상세보기
ISO/IEC GUIDE 98-3-SP2:2011 - Uncertainty of measurement - Part 3: Guide to the expression of uncertainty in measurement (GUM:1995) - Supplement 2: Extension to any number of output quantities 상세보기
ISO/IEC Guide 98-3:2008/Suppl 1:2008 - Uncertainty of measurement — Part 3: Guide to the expression of uncertainty in measurement (GUM:1995) — Supplement 1: Propagation of distributions using a Monte Carlo method 상세보기
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