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Journal of Research of the National Institute of Standards and Technology
|
December 8, 2021
The Use of Correlated Binomial Distribution in Estimating Error Rates for Firearm Evidence Identification
Nien Fan Zhang
Forensic Science International
|
July 27, 2021
Statistical models for firearm and tool mark image comparisons based on the congruent matching cells (CMC) method
Nien Fan Zhang
Journal of Research of the National Institute of Standards and Technology
|
May 3, 2016
Linking the Results of CIPM and RMO Key Comparisons With Linear Trends
Nien Fan Zhang
Analytical Sciences : the International Journal of the Japan Society for Analytical Chemistry
|
December 15, 2015
Evaluation of Measurement Precision from Stationary Baseline Noise in Instrumental Analyses
Yuzuru Hayashi, Nien Fan Zhang
Applied Optics
|
September 5, 2012
Improving optical measurement uncertainty with combined multitool metrology using a Bayesian approach
Nien Fan Zhang, Richard M Silver, Hui Zhou, et al.
Measurement Science & Technology
|
October 31, 2024
Combining model-based measurement results of critical dimensions from multiple tools
Nien Fan Zhang, Bryan M Barnes, Hui Zhou, et al.
Forensic Science International
|
January 15, 2018
Estimating error rates for firearm evidence identifications in forensic science
John Song, Theodore V Vorburger, Wei Chu, et al.
Analytical and Bioanalytical Chemistry
|
March 25, 2010
Certification of drugs of abuse in a human serum standard reference material: SRM 1959
Susan S-C Tai, Jocelyn L Prendergast, Lorna T Sniegoski, et al.
Journal of Micro/Nanolithography, MEMS, and MOEMS : JM3
|
December 19, 2015
Optimizing Hybrid Metrology: Rigorous Implementation of Bayesian and Combined Regression
Mark-Alexander Henn, Richard M Silver, John S Villarrubia, et al.
Analytical and Bioanalytical Chemistry
|
May 23, 2006
Development of a new standard reference material: SRM 1955 (homocysteine and folate in human serum)
Mary B Satterfield, Lorna T Sniegoski, Katherine E Sharpless, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
Journal of Research of the National Institute of Standards and Technology
|
December 8, 2021
The Use of Correlated Binomial Distribution in Estimating Error Rates for Firearm Evidence Identification
Nien Fan Zhang
Forensic Science International
|
July 27, 2021
Statistical models for firearm and tool mark image comparisons based on the congruent matching cells (CMC) method
Nien Fan Zhang
Journal of Research of the National Institute of Standards and Technology
|
May 3, 2016
Linking the Results of CIPM and RMO Key Comparisons With Linear Trends
Nien Fan Zhang
Analytical Sciences : the International Journal of the Japan Society for Analytical Chemistry
|
December 15, 2015
Evaluation of Measurement Precision from Stationary Baseline Noise in Instrumental Analyses
Yuzuru Hayashi, Nien Fan Zhang
Applied Optics
|
September 5, 2012
Improving optical measurement uncertainty with combined multitool metrology using a Bayesian approach
Nien Fan Zhang, Richard M Silver, Hui Zhou, et al.
Measurement Science & Technology
|
October 31, 2024
Combining model-based measurement results of critical dimensions from multiple tools
Nien Fan Zhang, Bryan M Barnes, Hui Zhou, et al.
Forensic Science International
|
January 15, 2018
Estimating error rates for firearm evidence identifications in forensic science
John Song, Theodore V Vorburger, Wei Chu, et al.
Analytical and Bioanalytical Chemistry
|
March 25, 2010
Certification of drugs of abuse in a human serum standard reference material: SRM 1959
Susan S-C Tai, Jocelyn L Prendergast, Lorna T Sniegoski, et al.
Journal of Micro/Nanolithography, MEMS, and MOEMS : JM3
|
December 19, 2015
Optimizing Hybrid Metrology: Rigorous Implementation of Bayesian and Combined Regression
Mark-Alexander Henn, Richard M Silver, John S Villarrubia, et al.
Analytical and Bioanalytical Chemistry
|
May 23, 2006
Development of a new standard reference material: SRM 1955 (homocysteine and folate in human serum)
Mary B Satterfield, Lorna T Sniegoski, Katherine E Sharpless, et al.
Page
of 2