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Data anomaly analysis

Data anomaly analysis, Total:404 items.

In the international standard classification, Data anomaly analysis involves: Information sciences. Publishing, Quality, Applications of information technology, Radiocommunications, Petroleum products in general, Medical sciences and health care facilities in general, Industrial automation systems, Mathematics, Telecommunication systems, Nuclear energy engineering, Laboratory medicine, Software development and system documentation, Information technology (IT) in general, Vocabularies, Analytical chemistry, Insulating materials, Languages used in information technology, Construction materials, Fluid power systems, Products of the chemical industry, Acoustics and acoustic measurements, Testing of metals, Tyres, (No title), Telecommunication terminal equipment, Protection against fire, Transport, Road vehicle systems, Energy and heat transfer engineering in general, Soil quality. Pedology, Non-ferrous metals, Environmental testing, Inorganic chemicals, Electrical and electronic testing, Vibrations, shock and vibration measurements, Thermodynamics and temperature measurements, Lubricants, industrial oils and related products, Insulating fluids, Patents. Intellectual property, Farming and forestry, Paint ingredients, Medical equipment, Water quality, Environmental protection, Corrosion of metals, Power transmission and distribution networks, METROLOGY AND MEASUREMENT. PHYSICAL PHENOMENA, Adhesives, Physics. Chemistry, Wood-based panels, Electrical engineering in general, Non-destructive testing, Astronomy. Geodesy. Geography, Aids for disabled or handicapped persons.


International Telecommunication Union (ITU), Data anomaly analysis

Professional Standard - Geology, Data anomaly analysis

  • DZ/T 0129-1994 Geophysical and geochemical prospecting anomaly data file format

Institute of Environmental Sciences and Technology, Data anomaly analysis

RO-ASRO, Data anomaly analysis

  • STAS 7122/6-1987 STATI STICAL INTERPRETATION OF DATA Determination of a statistical tole- rance interval for a normal distribu- tion

British Standards Institution (BSI), Data anomaly analysis

  • BS 2846-1:1991 Guide to statistical interpretation of data - Routine analysis of quantitative data
  • BS ISO 16269-4:2010 Statistical interpretation of data. Detection and treatment of outliers
  • BS PD ISO/TS 8000-81:2021 Data quality. Data quality assessment. Profiling
  • PD ISO/TS 8000-81:2021 Data quality. Data quality assessment. Profiling
  • BS 4505-6:1976 Digital data transmission - Complements to the basic mode control procedures; recovery, abort and interrupt, multiple station selection
  • PD ISO/TS 12913-3:2019 Acoustics. Soundscape. Data analysis
  • BS ISO 19229:2015 Gas analysis. Purity analysis and the treatment of purity data
  • BS 7826-1:1995 Guide for the statistical analysis of ageing test data. Methods based on mean values of normally distributed test results
  • BS IEC 60493-1:2011 Guide for the statistical analysis of ageing test data. Methods based on mean values of normally distributed test results
  • PD IEC/TR 60493-2:2010 Guide for the statistical analysis of ageing test data. Validation of procedures for statistical analysis of censored normally distributed data
  • BS EN 16603-31-04:2019 Space engineering. Exchange of thermal analysis data
  • BS ISO 14976:1998 Surface chemical analysis - Data transfer format
  • BS ISO 19229:2019 Tracked Changes. Gas analysis. Purity analysis and the treatment of purity data
  • BS ISO 14912:2003 Gas ananlysis - Conversion of gas mixture composition data
  • BS EN ISO 14912:2003 Gas analysis. Conversion of gas mixture composition data
  • BS EN ISO 14912:2006 Gas analysis - Conversion of gas mixture composition data
  • BS EN ISO 18314-4:2021 Analytical colorimetry. Metamerism index for pairs of samples for change of illuminant
  • BS 5703-4:2003 Guide to data analysis and quality control using cusum techniques - Cusum methods for discrete (count/classified) data
  • BS 5350-E1:1976 Methods of test for adhesives - Sampling and analysis of test data - Guide to statistical analysis
  • BS EN 60706-3:2006 Maintainability of equipment - Verification and collection, analysis and presentation of data
  • BS ISO 11775:2015 Surface chemical analysis. Scanning-probe microscopy. Determination of cantilever normal spring constants

American National Standards Institute (ANSI), Data anomaly analysis

International Organization for Standardization (ISO), Data anomaly analysis

  • ISO 16269-4:2010 Statistical interpretation of data - Part 4: Detection and treatment of outliers
  • ISO 19229:2015 Gas analysis - Purity analysis and the treatment of purity data
  • ISO 19229:2019 Gas analysis — Purity analysis and the treatment of purity data
  • ISO/TS 12913-3:2019 Acoustics — Soundscape — Part 3: Data analysis
  • ISO 3938:1986 Hydraulic fluid power; Contamination analysis; Method for reporting analysis data
  • ISO 14976:1998 Surface chemical analysis - Data transfer format
  • ISO 16269-8:2004 Statistical interpretation of data - Part 8: Determination of prediction intervals
  • ISO/DIS 5820:2023 Microbeam Analysis — Hyper-Dimensional Data File Specification (HMSA)
  • ISO/CD 5820 Microbeam Analysis — Hyper-Dimensional Data File Specification (HMSA)
  • ISO/PRF 5820:2023 Microbeam Analysis — Hyper-Dimensional Data File Specification (HMSA)
  • ISO/CD 14912 Gas analysis — Conversion of gas mixture composition data
  • ISO/DIS 14912:2023 Gas analysis — Conversion of gas mixture composition data
  • ISO/IEC CD 5259-2 Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 2: Data quality measures
  • ISO 14912:2003 Gas analysis - Conversion of gas mixture composition data
  • ISO/IEC CD 5259-4 Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 4: Data quality process framework
  • ISO/FDIS 18314-4:2023 Analytical colorimetry — Part 4: Metamerism index for pairs of samples for change of illuminant
  • ISO 18314-4:2023 Analytical colorimetry — Part 4: Metamerism index for pairs of samples for change of illuminant
  • ISO 11775:2015 Surface chemical analysis - Scanning-probe microscopy - Determination of cantilever normal spring constants
  • ISO/TS 10303-1660:2006 Industrial automation systems and integration - Product data representation and exchange - Part 1660: Application module: Datum difference based model
  • ISO 18314-5:2022 Analytical colorimetry — Part 5: Procedure for colorimetric determination of colour differences of object colours according to equidistant colour spaces
  • ISO/IEC CD 5259-3 Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 3: Data quality management requirements and guidelines

Danish Standards Foundation, Data anomaly analysis

  • DS/ISO 16269-4:2010 Statistical interpretation of data - Part 4: Detection and treatment of outliers
  • DS/IEC/TR 60493-2:2010 Guide for the statistical analysis of ageing test data - Part 2: Validation of procedures for statistical analysis of censored normally distributed data
  • DS/IEC 62539:2008 Guide for the statistical analysis of electrical insulation breakdown data
  • DS/EN ISO 14912/AC:2008 Gas analysis - Conversion of gas mixture composition data
  • DS/EN ISO 14912:2007 Gas analysis - Conversion of gas mixture composition data
  • DS/ISO 18314-4:2021 Analytical colorimetry – Part 4: Metamerism index for pairs of samples for change of illuminant
  • DS/ISO 3494:1980 Statistical interpretation of data. Power of tests relating to means and variances
  • DS/ISO 2854:1980 Statistical interpretation of data. Techniques of estimation and tests relating to means and variances
  • DS/EN ISO 18314-4:2021 Analytical colorimetry – Part 4: Metamerism index for pairs of samples for change of illuminant (ISO 18314-4:2020)

AENOR, Data anomaly analysis

  • UNE-ISO 16269-4:2015 Statistical interpretation of data -- Part 4: Detection and treatment of outliers
  • UNE 20512-8:1978 GUIDE FOR THE STATISTICAL ANALYSIS OF AGEING DATA. METHODS BASED ON MEAN VALUES OF NORMALLY DISTRIBUTED TEST DATA
  • UNE 71506:2013 Information Technologies (IT). Methodology for the digital evidences forensic analysis
  • UNE-EN ISO 14912:2007 Gas analysis - Conversion of gas mixture composition data (ISO 14912:2003)

American Institute of Aeronautics and Astronautics (AIAA), Data anomaly analysis

AIAA - American Institute of Aeronautics and Astronautics, Data anomaly analysis

Professional Standard - Public Safety Standards, Data anomaly analysis

  • GA 214.19-2005 Specification for resident population management information-Part 19: Code of data exception for resident population data exchange packages
  • GA 214.20-2005 Specification for resident population management information-Part 20: Code of package exception for resident population data exchange packages
  • GA 214.11-2004 Specification for resident population management information Part 11:Number of resident population information data package exchange
  • GA 214.1-2004 Specification for resident population management information Part 1:Basic data items
  • GA 214.15-2005 Specification for resident population management information-Part 15: The standard of data exchange for resident population management information
  • GA 214.2-2004 Specification for resident population management information Part 2:Household register management information data items

RU-GOST R, Data anomaly analysis

General Administration of Quality Supervision, Inspection and Quarantine of the People‘s Republic of China, Data anomaly analysis

  • GB/T 8056-1987 Statistical interpretation of data--Detection and handling of outlying observations in exponential sample
  • GB/T 6380-1986 Statistical interpretation of data--Detection and handling of outlying observations in the sample of type I extreme value distribution
  • GB/T 4883-1985 Statistical interpretation of data--Detection and handling of outlying observations in normal sample
  • GB/T 38521-2020 Gas analysis—Purity analysis and the treatment of purity data
  • GB/T 17802-1999 Thermal analysis test methods for kinetic constants of combustible materials
  • GB/T 21223.2-2015 Guide for the statistical analysis of ageing test data.Part 2:Validation of procedures for statistical analysis of censored normally distributed data
  • GB/T 12336-1990 Standard practice for applying statistics analysis of corrosion data
  • GB/T 19499-2004 Surface chemical analysis-Data transfer format
  • GB/T 17802-2011 Thermal analysis test methods for Arrhenius kinetics constants of thermally unstable materials
  • GB/T 10084-1988 Vibration and shock-methods for analysis and presentation of data
  • GB/T 41818-2022 Information technology—Big data—Technical requirements for analysis-oriented data storage and retrieval
  • GB/T 29310-2012 Guide for the statistical analysis of electrical insulation breakdown data

Group Standards of the People's Republic of China, Data anomaly analysis

  • T/DYZL 032-2023 Dongying City Product Oil Quality Traceability Management Platform Inspection and Detection Abnormal Data Analysis and Disposal Specification
  • T/GDPMAA 0001-2020 Specifications for the classification,interpretation and reporting of copy-number variants and regions of homozygosity in prenatal genetic diagnosis
  • T/IGRS 0011.5-2021 Quality analysis of internet terminal product based on big data Part Ⅴ: Data analysis
  • T/CA 224-2022 E-sports data analyst
  • T/QGCML 1802-2023
  • T/CHIA 21.5-2021 Specification of omics sample processing and data analysis Part 5:transcriptome sequencing data analysis
  • T/CHIA 21.1-2021 Specification of omics sample processing and data analysis Part 1:whole genome sequencing analysis
  • T/CHIA 21.2-2021 Specification of omics sample processing and data analysis Part 2:whole exome sequencing data analysis
  • T/SDBDA 4-2020 Specification for evaluation of ability of data analyst
  • T/CAEA 0004-2020 Data analyst competency training standard
  • T/CATAGS 63.3-2023 Abnormal Baggage Interaction Specification Part 3: Process Data
  • T/CATAGS 63.4-2023 Abnormal Baggage Interaction Specification Part 4: Data Interface
  • T/SHRH 050-2023 Skin evaluation based on artificial intelligence — Data analysis methods
  • T/QGCML 1209-2023 E-commerce data analysis system functional requirements
  • T/QGCML 1818-2023
  • T/CAB 0097-2021 Guidelines for collection and analysis of product warranty data
  • T/QGCML 990-2023 Data group intelligent integration analysis management system
  • T/BSTAUM 001-2023 Data analysis guide for urban lifelines monitoring
  • T/QGCML 1257-2023
  • T/IGRS 0011.3-2021 Quality analysis of internet terminal product based on big data Part Ⅲ: Data indicator
  • T/IGRS 0011.2-2021 Quality analysis of internet terminal product based on big data Part Ⅱ: Data dictionary
  • T/KCH 014-2021 Patent Data Analysis Standard:indicators and terminology
  • T/ZS 0475-2023 Structure and identifier for hydrological information analysis database
  • T/QGCML 1803-2023
  • T/QGCML 223-2021 Technical requirements for multi-parameter water quality data acquisition and analysis system
  • T/GDAQI 55-2021 Guangdong Provincial science and technology hot data analysis application specification
  • T/SHMHZQ 030-2022 Specification of big data mining and analysis system for petrochemical Industry
  • T/SHDSGY 021-2023 Data acquisition, analysis and real-time monitoring technical services
  • T/BBDA 001-2021 professional skill standards for big data analyst
  • T/ZAI 9-2022 Information Technology Big Data Analysis Technical Reference Framework
  • T/QGCML 1026-2023 IoT big data visual analysis and management system
  • T/ZXCH 0019-2023 Ecological environment monitoring data stability analysis method
  • T/SDIRAA 024-2021 Functional requirements of marine data quality control analysis system
  • T/CI 133-2023 Testing specification of active health platform data analysis application
  • T/QGCML 1907-2023
  • T/QGCML 1335-2023 Technical Specifications for Intelligent Distributed Data Acquisition and Analysis System
  • T/SDIE 17-2023 Technical specification for big data monitoring and analysis of Internet of commercial vehicles

Professional Standard - Hygiene , Data anomaly analysis

  • WS 375.18-2016 Basic dataset of disease control.Part 18:Adverse event following immunization report
  • WS 377.2-2013 Basic dataset of women's health.Part 2:Screening common gynecological diseases

American Society for Testing and Materials (ASTM), Data anomaly analysis

  • ASTM E1947-98(2022) Standard Specification for Analytical Data Interchange Protocol for Chromatographic Data
  • ASTM E1948-98(2004) Standard Guide for Analytical Data Interchange Protocol for Chromatographic Data
  • ASTM E1947-98 Standard Specification for Analytical Data Interchange Protocol for Chromatographic Data
  • ASTM E1947-98(2004) Standard Specification for Analytical Data Interchange Protocol for Chromatographic Data
  • ASTM E1948-98 Standard Guide for Analytical Data Interchange Protocol for Chromatographic Data
  • ASTM E1948-98(2009) Standard Guide for Analytical Data Interchange Protocol for Chromatographic Data
  • ASTM E1947-98(2014) Standard Specification for Analytical Data Interchange Protocol for Chromatographic Data
  • ASTM E1948-98(2014) Standard Guide for Analytical Data Interchange Protocol for Chromatographic Data
  • ASTM E1947-98(2009) Standard Specification for Analytical Data Interchange Protocol for Chromatographic Data
  • ASTM E2078-00(2005) Standard Guide for Analytical Data Interchange Protocol for Mass Spectrometric Data
  • ASTM E2077-00 Standard Specification for Analytical Data Interchange Protocol for Mass Spectrometric Data
  • ASTM E2078-00 Standard Guide for Analytical Data Interchange Protocol for Mass Spectrometric Data
  • ASTM E2077-00(2005) Standard Specification for Analytical Data Interchange Protocol for Mass Spectrometric Data
  • ASTM E1948-98(2022) Standard Guide for Analytical Data Interchange Protocol for Chromatographic Data
  • ASTM E2078-00(2010) Standard Guide for Analytical Data Interchange Protocol for Mass Spectrometric Data
  • ASTM E2077-00(2010) Standard Specification for Analytical Data Interchange Protocol for Mass Spectrometric Data
  • ASTM E2077-00(2016) Standard Specification for Analytical Data Interchange Protocol for Mass Spectrometric Data
  • ASTM E2078-00(2016) Standard Guide for Analytical Data Interchange Protocol for Mass Spectrometric Data
  • ASTM F1016-93(1997) Standard Practice for Linear Tire Treadwear Data Analysis
  • ASTM F1016-93(2001) Standard Practice for Linear Tire Treadwear Data Analysis
  • ASTM E1561-93(2003) Standard Practice for Analysis of Strain Gage Rosette Data
  • ASTM E472-86(1991)e1 Practice for Reporting Thermoanalytical Data
  • ASTM E1970-11 Standard Practice for Statistical Treatment of Thermoanalytical Data
  • ASTM E1561-93(2009) Standard Practice for Analysis of Strain Gage Rosette Data
  • ASTM E799-03(2009) Standard Practice for Determining Data Criteria and Processing for Liquid Drop Size Analysis
  • ASTM D7915-22 Standard Practice for Application of Generalized Extreme Studentized Deviate (GESD) Technique to Simultaneously Identify Multiple Outliers in a Data Set
  • ASTM D7416-08 Standard Practice for Analysis of In-Service Lubricants Using a Particular Five-Part (Dielectric Permittivity, Time-Resolved Dielectric Permittivity with Switching Magnetic Fields, Laser Particle Coun
  • ASTM E1561-93(1998) Standard Practice for Analysis of Strain Gage Rosette Data
  • ASTM G166-00(2011) Standard Guide for Statistical Analysis of Service Life Data
  • ASTM E1561-93(2014) Standard Practice for Analysis of Strain Gage Rosette Data
  • ASTM G16-95(2004) Standard Guide for Applying Statistics to Analysis of Corrosion Data
  • ASTM G166-00 Standard Guide for Statistical Analysis of Service Life Data
  • ASTM G166-00(2005) Standard Guide for Statistical Analysis of Service Life Data
  • ASTM G16-95(2010) Standard Guide for Applying Statistics to Analysis of Corrosion Data
  • ASTM E1561-20 Standard Practice for Analysis of Strain Gage Rosette Data
  • ASTM F1016-07(2020) Standard Practice for Linear Tire Treadwear Data Analysis
  • ASTM G166-00(2020) Standard Guide for Statistical Analysis of Service Life Data
  • ASTM E799-03(2015) Standard Practice for Determining Data Criteria and Processing for Liquid Drop Size Analysis
  • ASTM D7915-14 Standard Practice for Application of Generalized Extreme Studentized Deviate 40;GESD41; Technique to Simultaneously Identify Multiple Outliers in a Data Set
  • ASTM D7416-09 Standard Practice for Analysis of In-Service Lubricants Using a Particular Five-Part (Dielectric Permittivity, Time-Resolved Dielectric Permittivity with Switching Magnetic Fields, Laser Particle Counter, Microscopic Debris Analysis, and Orbital Viscome
  • ASTM E1970-00 Standard Practice for Statistical Treatment of Thermoanalytical Data
  • ASTM E1970-01 Standard Practice for Statistical Treatment of Thermoanalytical Data
  • ASTM G172-03(2010) Standard Guide for Statistical Analysis of Accelerated Service Life Data
  • ASTM E1970-23 Standard Practice for Statistical Treatment of Thermoanalytical Data
  • ASTM E1970-16(2021) Standard Practice for Statistical Treatment of Thermoanalytical Data
  • ASTM E1970-16 Standard Practice for Statistical Treatment of Thermoanalytical Data
  • ASTM G16-13 Standard Guide for Applying Statistics to Analysis of Corrosion Data
  • ASTM G16-13(2019) Standard Guide for Applying Statistics to Analysis of Corrosion Data
  • ASTM D7669-20 Standard Guide for Practical Lubricant Condition Data Trend Analysis
  • ASTM D7669-15 Standard Guide for Practical Lubricant Condition Data Trend Analysis
  • ASTM D7416-09(2015) Standard Practice for Analysis of In-Service Lubricants Using a Particular Five-Part (Dielectric Permittivity, Time-Resolved Dielectric Permittivity with Switching Magnetic Fields, Laser Particle Counter, Microscopic Debris Analysis, and Orbital Vis
  • ASTM D7416-09(2020) Standard Practice for Analysis of In-Service Lubricants Using a Particular Five-Part (Dielectric Permittivity, Time-Resolved Dielectric Permittivity with Switching Magnetic Fields, Laser Particle Coun
  • ASTM G172-03 Standard Guide for Statistical Analysis of Accelerated Service Life Data
  • ASTM D7669-11 Standard Guide for Practical Lubricant Condition Data Trend Analysis
  • ASTM G172-19 Standard Guide for Statistical Analysis of Accelerated Service Life Data
  • ASTM E2862-12 Standard Practice for Probability of Detection Analysis for Hit/Miss Data
  • ASTM E1970-06 Standard Practice for Statistical Treatment of Thermoanalytical Data

Professional Standard - Post and Telecommunication, Data anomaly analysis

  • YD/T 4246-2023 Technical Requirements and Test Methods for Abnormal Behavior Monitoring of Telecommunication Network and Internet Data
  • YD/T 518-1992 Technical conditions for data communication protocol analyzer
  • YD/T 804-1996 Technical requirement for asynchronous terminals access to packet switched public data network
  • YD/T 875-1996 Test method of asynchronous terminals access to public packet switching data

Professional Standard - Nuclear Industry, Data anomaly analysis

  • EJ/T 445-1989 Reactor and Power Distribution Abnormal Analysis of 300MW PWR Nuclear Power Plant

Professional Standard - Agriculture, Data anomaly analysis

German Institute for Standardization, Data anomaly analysis

  • DIN 53804-3:1982 Statistical interpretation; Ordinal characteristics
  • DIN 53804-2:1985 Stastistical interpretation of data; countable (discrete) characteristics
  • DIN ISO/TS 12913-3:2021-06 Acoustics - Soundscape - Part 3: Data analysis (ISO/TS 12913-3:2019)
  • DIN EN 16603-31-04:2019-07 Space engineering - Exchange of thermal analysis data; English version EN 16603-31-04:2019
  • DIN EN 18029:2023-11 Animal health diagnostic analyses - Electronic data exchange in laboratory analysis; German and English version prEN 18029:2023 / Note: Date of issue 2023-10-13
  • DIN EN ISO 14912:2006-11 Gas analysis - Conversion of gas mixture composition data (ISO 14912:2003); German version EN ISO 14912:2006
  • DIN EN ISO 18314-4:2021-09 Analytical colorimetry - Part 4: Metamerism index for pairs of samples for change of illuminant (ISO 18314-4:2020); German version EN ISO 18314-4:2021 / Note: To be replaced by DIN EN ISO 18314-4 (2023-02).
  • DIN EN ISO 18314-4:2023-02 Analytical colorimetry - Part 4: Metamerism index for pairs of samples for change of illuminant (ISO/DIS 18314-4:2022); German and English version prEN ISO 18314-4:2023 / Note: Date of issue 2023-01-06*Intended as replacement for DIN EN ISO 18314-4 (20...
  • DIN 55303-7:1996 Statistical interpretation of data - Part 7: Estimating and test procedures for Weibull distributions with two parameters

ES-UNE, Data anomaly analysis

  • UNE-ISO/TS 8000-81:2023 Data quality — Part 81: Data quality assessment: Profiling
  • UNE 199152-1:2016 Road traffic management equipment. Data quality. Data analysis. Part 1: Interurban Traffic data
  • UNE-EN 16603-31-04:2019 Space engineering - Exchange of thermal analysis data (Endorsed by Asociación Española de Normalización in April of 2019.)
  • UNE 178509:2023 Model for the collection, exploitation and analysis of tourist data.
  • UNE-EN ISO 14912:2007/AC:2008 Gas analysis - Conversion of gas mixture composition data (ISO 14912:2003/Cor 1:2006)
  • UNE-EN ISO 18314-4:2022 Analytical colorimetry - Part 4: Metamerism index for pairs of samples for change of illuminant (ISO 18314-4:2020)
  • UNE-ISO 8000-115:2023 Data quality — Part 115: Master data: Exchange of quality identifiers: Syntactic, semantic and resolution requirements

ASHRAE - American Society of Heating@ Refrigerating and Air-Conditioning Engineers@ Inc., Data anomaly analysis

IN-BIS, Data anomaly analysis

U.S. Air Force, Data anomaly analysis

Association Francaise de Normalisation, Data anomaly analysis

ITU-R - International Telecommunication Union/ITU Radiocommunication Sector, Data anomaly analysis

  • REPORT P.2089-2006 The analysis of radio noise data
  • ITU-R P.311-8-1997 Acquisition@ Presentation and Analysis of Data in Studies of Tropospheric Propagation
  • ITU-R P.311-9-1999 Acquisition@ Presentation and Analysis of Data in Studies of Tropospheric Progagation
  • ITU-R P.311-11-2003 Acquisition@ presentation and analysis of data in studies of tropospheric propagation
  • ITU-R P.311-10-2001 Acquisition@ Presentation and Analysis of Data in Studies of Tropospheric Progagation
  • ITU-R PN.311-6-1992 Acquisition@ Presentation and Analysis of Data in Studies of Tropospheric Propagation

API - American Petroleum Institute, Data anomaly analysis

Korean Agency for Technology and Standards (KATS), Data anomaly analysis

KR-KS, Data anomaly analysis

TIA - Telecommunications Industry Association, Data anomaly analysis

  • TIA-102.BAEJ-2013 Project 25 Conventional Management Service Specification for Packet Data
  • TIA-102.BAEJ-A-2019 Project 25 Conventional Management Service Specification for Packet Data

CZ-CSN, Data anomaly analysis

Military Standards (MIL-STD), Data anomaly analysis

Taiwan Provincial Standard of the People's Republic of China, Data anomaly analysis

US-Unspecified Preparing Activity, Data anomaly analysis

SAE - SAE International, Data anomaly analysis

  • SAE R-367-2012 Analysis Techniques for Racecar Data Acquisition
  • SAE R-408-2014 Analysis Techniques for Racecar Data Acquisition (Second Edition)

HU-MSZT, Data anomaly analysis

工业和信息化部, Data anomaly analysis

  • YD/T 3774-2020 Big data distributed analytical database technical requirements and testing methods
  • SJ/T 11615.2-2016 Network data collection and analysis software specifications Part 2: Data format description
  • SJ/T 11615.1-2016 Network Data Collection and Analysis Software Specification Part 1: Framework

(U.S.) Joint Electron Device Engineering Council Soild State Technology Association, Data anomaly analysis

  • JEDEC JESD28-1-2001 N-Channel MOSFET Hot Carrier Data Analysis
  • JEDEC JESD37-1992 Standard for Lognormal Analysis of Uncensored Data, and of Singly Right-Censored Data Utilizing the Persson and Rootzen Method

US-FCR, Data anomaly analysis

CEN - European Committee for Standardization, Data anomaly analysis

National Metrological Verification Regulations of the People's Republic of China, Data anomaly analysis

Henan Provincial Standard of the People's Republic of China, Data anomaly analysis

International Electrotechnical Commission (IEC), Data anomaly analysis

  • IEC TR 60493-2:2010 Guide for the statistical analysis of ageing test data - Part 2: Validation of procedures for statistical analysis of censored normally distributed data
  • IEC 62539:2007 Guide for the statistical analysis of electrical insulation breakdown data

SE-SIS, Data anomaly analysis

United States Navy, Data anomaly analysis

Professional Standard - Machinery, Data anomaly analysis

  • JB/T 10579-2006 Standard practice for applying statistics analysis of corrosion data

Society of Automotive Engineers (SAE), Data anomaly analysis

  • SAE J2455-1998 Drivetrain Systems Vibration Analysis Data Requirements
  • SAE J2556-2000 Radiated Emissions (RE) Narrowband Data Analysis Power Spectral Density (PSD)
  • SAE J2748-2006 VHDL-AMS Statistical Analysis Packages
  • SAE J2455-2015 Drivetrain Systems Vibration Analysis Data Requirements
  • SAE J2556-2010 Radiated Emissions (RE) Narrowband Data Analysis Power Spectral Density (PSD)
  • SAE J2556-2014 Radiated Emissions (RE) Narrowband Data Analysis - Power Spectral Density (PSD)
  • SAE J2556-2005 Radiated Emissions (RE) Narrowband Data Analysis—Power Spectral Density (PSD)

Japanese Industrial Standards Committee (JISC), Data anomaly analysis

ESDU - Engineering Sciences Data Unit, Data anomaly analysis

  • ESDU 92040-1992 An introduction to the statistical analysis of engineering data.
  • ESDU 10012-2010 Application of linear regression analysis to acoustic fatigue data
  • ESDU 91017 D-1997 Statistical methods applicable to analysis of aircraft performance data.
  • ESDU 91017 F-2015 Statistical methods applicable to analysis of aircraft performance data
  • ESDU 91017 E-2013 Statistical methods applicable to analysis of aircraft performance data
  • ESDU 91041 B-1993 The statistical analysis of data from Normal distributions@ with particular reference to small samples.

IEEE - The Institute of Electrical and Electronics Engineers@ Inc., Data anomaly analysis

  • IEEE 1F-1958 Report on Guide for STATISTICAL ANALYSIS OF TEST DATA
  • IEEE 930-1987 Guide for the Statistical Analysis of Electrical Insulation Voltage Endurance Data
  • IEEE 101-1972 GUIDE FOR THE STATISTICAL ANALYSIS OF THERMAL LIFE TEST DATA (R 1982)

Alliance of Telecommunications Industry Solutions (ATIS), Data anomaly analysis

ATIS - Alliance for Telecommunications Industry Solutions, Data anomaly analysis

  • 0100021-2008 Analysis of FCC-Reportable Service Outage Data
  • T1.TR.42-1995 Enhanced Analysis of FCC - Reportable Service Outage Data

Shandong Provincial Standard of the People's Republic of China, Data anomaly analysis

Standard Association of Australia (SAA), Data anomaly analysis

GB-REG, Data anomaly analysis

VE-FONDONORMA, Data anomaly analysis

Heilongjiang Provincial Standard of the People's Republic of China, Data anomaly analysis

IT-UNI, Data anomaly analysis

U.S. Military Regulations and Norms, Data anomaly analysis

Institute of Electrical and Electronics Engineers (IEEE), Data anomaly analysis

Military Standard of the People's Republic of China-Commission of Science,Technology and Industry for National Defence, Data anomaly analysis

  • GJB/Z 222-2005 Guidelines for dynamic environmental data acquisition and analysis

ITE - Institute of Transportation Engineers, Data anomaly analysis

  • LP-352-1978 Statistics with Application to Highway Traffic Analyses
  • LP-635-2001 Introduction to Traffic Engineering: A Manual for Data Collection and Analysis

Professional Standard - Ferrous Metallurgy, Data anomaly analysis

  • YB/T 4142-2006 Statistical rules for processing spectral analysis data

未注明发布机构, Data anomaly analysis

  • GJB/Z 181-2015 Dynamic Environment Data Acquisition and Analysis Guide
  • BS EN ISO 14912:2006(2009) Gas analysis — Conversion of gas mixture composition data
  • BSI Flex 236:2022 Enabling the development of inclusive standards – Understanding the role of data and data analysis – Guide
  • DIN EN ISO 21549-2:2004 Medical Informatics – Patient Data on Healthcare Cards – Part 2: Common Elements
  • BS ISO 8000-115:2018(2022) Data quality Part 115 : Master data : Exchange of quality identifiers : Syntactic, semantic and resolution requirements
  • JIS K 0182:2023 Surface chemical analysis -- Scanning-probe microscopy -- Determination of cantilever normal spring constants

European Committee for Standardization (CEN), Data anomaly analysis

WRC - Welding Research Council, Data anomaly analysis

  • BULLETIN 285-1983 STRESS INDICES AND FLEXIBILITY FACTORS FOR CONCENTRIC REDUCERS ; FINITE ELEMENT ANALYSIS OF ECCENTRIC REDUCERS AND COMPARISONS WITH CONCENTRIC REDUCERS

国家市场监督管理总局、中国国家标准化管理委员会, Data anomaly analysis

  • GB/T 37721-2019 Information technology—Functional requirements for big data analytic systems
  • GB/T 40870-2021 Gas analysis—Conversion of gas mixture composition data
  • GB/T 37708-2019 Quality management—Guidelines for successful data envelopment analysis of product
  • GB/T 38359-2019 Data-analysis methods of strength properties for structural wood and wood-based products
  • GB/T 38643-2020 Information technology—Big data—Functional testing requirements for analytic system

National Aeronautics and Space Administration (NASA), Data anomaly analysis

Professional Standard - Energy, Data anomaly analysis

  • NB/T 20557-2019 Guidelines for Data Analysis of Probabilistic Safety Assessment of Nuclear Power Plants

Liaoning Provincial Standard of the People's Republic of China, Data anomaly analysis

  • DB21/T 3792-2023 Data interface specification for big data analysis platform for online monitoring of energy consumption of key energy consuming units
  • DB21/T 3791-2023 Cement industry data collection specifications for online monitoring big data analysis platform of energy consumption of key energy consuming units

AT-ON, Data anomaly analysis

IPC - Association Connecting Electronics Industries, Data anomaly analysis

Canadian Standards Association (CSA), Data anomaly analysis

Lithuanian Standards Office , Data anomaly analysis

Indonesia Standards, Data anomaly analysis

  • SNI 19-3386-1994 Definition of tennis for fatique testing and the stastical analysis of fatique data

American Society of Quality Control (ASQC), Data anomaly analysis

  • ASQ B1-B3-1996 Guide for Quality Control Charts Control Chart Method of Analyzing Data Control Chart Method of Controlling Quality During Production T59

Jiangsu Provincial Standard of the People's Republic of China, Data anomaly analysis

  • DB3201/T 1140-2023 Specifications for the construction of the basic database for underwater terrain analysis of the Yangtze River

NATO - North Atlantic Treaty Organization, Data anomaly analysis

  • ANEP-33-1993 Combat System Data Model for Interface Analysis (ED 1)

未注明发布机构, Data anomaly analysis

  • GJB/Z 181-2015 Dynamic Environment Data Acquisition and Analysis Guide
  • BS EN ISO 14912:2006(2009) Gas analysis — Conversion of gas mixture composition data
  • BSI Flex 236:2022 Enabling the development of inclusive standards – Understanding the role of data and data analysis – Guide
  • DIN EN ISO 21549-2:2004 Medical Informatics – Patient Data on Healthcare Cards – Part 2: Common Elements
  • BS ISO 8000-115:2018(2022) Data quality Part 115 : Master data : Exchange of quality identifiers : Syntactic, semantic and resolution requirements
  • JIS K 0182:2023 Surface chemical analysis -- Scanning-probe microscopy -- Determination of cantilever normal spring constants

TH-TISI, Data anomaly analysis

  • TIS 2180-2004 Statistical planning and analysis of data for fatigue testing of metallic materials.[iso title: metallic materials.fatigue testing.statistical planning and analysis of data]




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