SlideShare ist ein Scribd-Unternehmen logo
1 von 19
Equivalence of published GLS solutions to comparison analysis   John Clare and Annette Koo Measurement Standards Laboratory  of New Zealand, IRL
Synopsis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Measurement standards  ,[object Object],[object Object],[object Object],[object Object],[object Object],Pilot 1 2 3 4 5 6 7 8 9
CCPR.K6-2010 MSL NMIJ NPL NIST A*STAR KRISS VNIIOFI LNE- INM NMISA MKEH NRC PTB
CCT-K3 ,[object Object]
Data and analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Model for data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Model for data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Least-squares regression ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Comparison run by MSL ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Errors ,[object Object],[object Object],[object Object],[object Object],[object Object],random errors systematic errors
Measurement covariance matrix
Proof (1) Estimators equal ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Proof (2) Estimators equal ,[object Object],[object Object],[object Object]
Uncertainties equal ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Symmetry of
Uncertainties equal ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Degrees of equivalence ,[object Object],[object Object],[object Object]
END Pilot 1 2 3 4 5 6 7 8 9

Weitere Àhnliche Inhalte

Andere mochten auch (6)

13.30 o2 v bubanja
13.30 o2 v bubanja13.30 o2 v bubanja
13.30 o2 v bubanja
 
13.00 o8 g williams
13.00 o8 g williams13.00 o8 g williams
13.00 o8 g williams
 
Kebijakan dan Praktek Konservasi di Indonesia
Kebijakan dan Praktek Konservasi di IndonesiaKebijakan dan Praktek Konservasi di Indonesia
Kebijakan dan Praktek Konservasi di Indonesia
 
UU RI no. 5 Tahun 1990 tentang Konservasi Sumber Daya Alam Hayati dan Ekosist...
UU RI no. 5 Tahun 1990 tentang Konservasi Sumber Daya Alam Hayati dan Ekosist...UU RI no. 5 Tahun 1990 tentang Konservasi Sumber Daya Alam Hayati dan Ekosist...
UU RI no. 5 Tahun 1990 tentang Konservasi Sumber Daya Alam Hayati dan Ekosist...
 
Abstract Halloween Tutorial
Abstract Halloween TutorialAbstract Halloween Tutorial
Abstract Halloween Tutorial
 
13.00 o9 t scott
13.00 o9 t scott13.00 o9 t scott
13.00 o9 t scott
 

Ähnlich wie 14.20 o2 j clare

With the consideration of the recurring theme and ideas of .docx
With the consideration of the recurring theme and ideas of .docxWith the consideration of the recurring theme and ideas of .docx
With the consideration of the recurring theme and ideas of .docx
madlynplamondon
 
EXPLOITING THE DISCRIMINATING POWER OF THE EIGENVECTOR CENTRALITY MEASURE TO ...
EXPLOITING THE DISCRIMINATING POWER OF THE EIGENVECTOR CENTRALITY MEASURE TO ...EXPLOITING THE DISCRIMINATING POWER OF THE EIGENVECTOR CENTRALITY MEASURE TO ...
EXPLOITING THE DISCRIMINATING POWER OF THE EIGENVECTOR CENTRALITY MEASURE TO ...
ijfcstjournal
 
directed-research-report
directed-research-reportdirected-research-report
directed-research-report
Ryen Krusinga
 
Multiple sequence alignment
Multiple sequence alignmentMultiple sequence alignment
Multiple sequence alignment
Sanaym
 
Use of Eigenvector Centrality to Detect Graph Isomorphism
Use of Eigenvector Centrality to Detect Graph IsomorphismUse of Eigenvector Centrality to Detect Graph Isomorphism
Use of Eigenvector Centrality to Detect Graph Isomorphism
csandit
 

Ähnlich wie 14.20 o2 j clare (20)

1607.01152.pdf
1607.01152.pdf1607.01152.pdf
1607.01152.pdf
 
With the consideration of the recurring theme and ideas of .docx
With the consideration of the recurring theme and ideas of .docxWith the consideration of the recurring theme and ideas of .docx
With the consideration of the recurring theme and ideas of .docx
 
Statistical Clustering
Statistical ClusteringStatistical Clustering
Statistical Clustering
 
New approaches for boosting to uniformity
New approaches for boosting to uniformityNew approaches for boosting to uniformity
New approaches for boosting to uniformity
 
EXPLOITING THE DISCRIMINATING POWER OF THE EIGENVECTOR CENTRALITY MEASURE TO ...
EXPLOITING THE DISCRIMINATING POWER OF THE EIGENVECTOR CENTRALITY MEASURE TO ...EXPLOITING THE DISCRIMINATING POWER OF THE EIGENVECTOR CENTRALITY MEASURE TO ...
EXPLOITING THE DISCRIMINATING POWER OF THE EIGENVECTOR CENTRALITY MEASURE TO ...
 
Logistic regression - one of the key regression tools in experimental research
Logistic regression - one of the key regression tools in experimental researchLogistic regression - one of the key regression tools in experimental research
Logistic regression - one of the key regression tools in experimental research
 
directed-research-report
directed-research-reportdirected-research-report
directed-research-report
 
Presentation
PresentationPresentation
Presentation
 
Multiple sequence alignment
Multiple sequence alignmentMultiple sequence alignment
Multiple sequence alignment
 
CLIM Program: Remote Sensing Workshop, Blocking Methods for Spatial Statistic...
CLIM Program: Remote Sensing Workshop, Blocking Methods for Spatial Statistic...CLIM Program: Remote Sensing Workshop, Blocking Methods for Spatial Statistic...
CLIM Program: Remote Sensing Workshop, Blocking Methods for Spatial Statistic...
 
Canonical correlation
Canonical correlationCanonical correlation
Canonical correlation
 
Lect w8 w9_correlation_regression
Lect w8 w9_correlation_regressionLect w8 w9_correlation_regression
Lect w8 w9_correlation_regression
 
[ICDE 2012] On Top-k Structural Similarity Search
[ICDE 2012] On Top-k Structural Similarity Search[ICDE 2012] On Top-k Structural Similarity Search
[ICDE 2012] On Top-k Structural Similarity Search
 
Slides4
Slides4Slides4
Slides4
 
240401_JW_labseminar[LINE: Large-scale Information Network Embeddin].pptx
240401_JW_labseminar[LINE: Large-scale Information Network Embeddin].pptx240401_JW_labseminar[LINE: Large-scale Information Network Embeddin].pptx
240401_JW_labseminar[LINE: Large-scale Information Network Embeddin].pptx
 
panel regression.pptx
panel regression.pptxpanel regression.pptx
panel regression.pptx
 
Use of Eigenvector Centrality to Detect Graph Isomorphism
Use of Eigenvector Centrality to Detect Graph IsomorphismUse of Eigenvector Centrality to Detect Graph Isomorphism
Use of Eigenvector Centrality to Detect Graph Isomorphism
 
USE OF EIGENVECTOR CENTRALITY TO DETECT GRAPH ISOMORPHISM
USE OF EIGENVECTOR CENTRALITY TO DETECT GRAPH ISOMORPHISM USE OF EIGENVECTOR CENTRALITY TO DETECT GRAPH ISOMORPHISM
USE OF EIGENVECTOR CENTRALITY TO DETECT GRAPH ISOMORPHISM
 
gls
glsgls
gls
 
Pre- and Post-Selection Paradoxes, Measurement-Disturbance and Contextuality ...
Pre- and Post-Selection Paradoxes, Measurement-Disturbance and Contextuality ...Pre- and Post-Selection Paradoxes, Measurement-Disturbance and Contextuality ...
Pre- and Post-Selection Paradoxes, Measurement-Disturbance and Contextuality ...
 

Mehr von NZIP (20)

14.25 o14 i islah u-din
14.25 o14 i islah u-din14.25 o14 i islah u-din
14.25 o14 i islah u-din
 
14.04 o14 r millane
14.04 o14 r millane14.04 o14 r millane
14.04 o14 r millane
 
13.15 o14.2 m elbohouty
13.15 o14.2 m elbohouty13.15 o14.2 m elbohouty
13.15 o14.2 m elbohouty
 
12.45 o14 s hendy
12.45 o14 s hendy12.45 o14 s hendy
12.45 o14 s hendy
 
14.25 o15 b ingham
14.25 o15 b ingham14.25 o15 b ingham
14.25 o15 b ingham
 
14.05 o15 g willmott
14.05 o15 g willmott14.05 o15 g willmott
14.05 o15 g willmott
 
13.45 o15 n winch
13.45 o15 n winch13.45 o15 n winch
13.45 o15 n winch
 
12.45 o15 m bartle
12.45 o15 m bartle12.45 o15 m bartle
12.45 o15 m bartle
 
16.20 o11 b mallett
16.20 o11 b mallett16.20 o11 b mallett
16.20 o11 b mallett
 
15.30 o11 m reid
15.30 o11 m reid15.30 o11 m reid
15.30 o11 m reid
 
16.40 o10 d wiltshire
16.40 o10 d wiltshire16.40 o10 d wiltshire
16.40 o10 d wiltshire
 
16.00 o10 h silverwood
16.00 o10 h silverwood16.00 o10 h silverwood
16.00 o10 h silverwood
 
14.40 o8 s wimbush
14.40 o8 s wimbush14.40 o8 s wimbush
14.40 o8 s wimbush
 
16.20 o10 p chote
16.20 o10 p chote16.20 o10 p chote
16.20 o10 p chote
 
15.30 o10 p cottrell
15.30 o10 p cottrell15.30 o10 p cottrell
15.30 o10 p cottrell
 
14.20 o8 c gaedtke
14.20 o8 c gaedtke14.20 o8 c gaedtke
14.20 o8 c gaedtke
 
14.00 o8 j stephen
14.00 o8 j stephen14.00 o8 j stephen
14.00 o8 j stephen
 
14.40 o7 d sullivan
14.40 o7 d sullivan14.40 o7 d sullivan
14.40 o7 d sullivan
 
14.20 o7 r davies
14.20 o7 r davies14.20 o7 r davies
14.20 o7 r davies
 
13.30 o7 b trompetter
13.30 o7 b trompetter13.30 o7 b trompetter
13.30 o7 b trompetter
 

KĂŒrzlich hochgeladen

EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
Earley Information Science
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
giselly40
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
Enterprise Knowledge
 

KĂŒrzlich hochgeladen (20)

Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
Tech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdfTech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdf
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 

14.20 o2 j clare