This book provides an overview of the application of statistical methods to problems in metrology, with emphasis on modelling measurement processes and quantifying their associated uncertainties. It covers everything from fundamentals to more advanced special topics, each illustrated with case studies from the authors' work in the Nuclear Security Enterprise (NSE). The material provides readers with a solid understanding of how to apply the techniques to metrology studies in a wide variety of contexts. The volume offers particular attention to uncertainty in decision making, design of experiments (DOEx) and curve fitting, along with special topics such as statistical process control (SPC), assessment of binary measurement systems, and new r...
Abstract: Measurement uncertainty characterizes the quality of a measurement result. It is determine...
AbstractIn metrology, Monte-Carlo Methods are used to evaluate the measurement uncertainty whereas m...
As parametric variation increases in importance with shrinking dimensions and increasing integration...
This special issue of Metrologia is the first that is not devoted to units, or constants, or measur...
This book fulfills the global need to evaluate measurement results along with the associated uncerta...
The estimation theory is reviewed. Attention is given to optimal techniques, specially the linear, u...
This introduction to measurement uncertainty is intended for metrology professionals working in cali...
Civil engineering is a branch of science that covers a broad range of areas where experimental proce...
Metrology, the science of measurement, is crucial for many sciences and technological developments. ...
Typically, a measurement is regarded as being incomplete without a statement of uncertainty being pr...
The Guide to the expression of measurement uncertainty, (GUM, JCGM 100) and its Supplement...
All measurements of physical quantities are affected by uncertainty. Understanding the origin of unc...
This volume of Methods of Experimental Physics provides an extensive introduction to probability and...
This article provides an overview of the interplay between statistics and measurement. Measurement q...
The goal of acceptable quality, cost, and time is a decisive challenge in every engineering developm...
Abstract: Measurement uncertainty characterizes the quality of a measurement result. It is determine...
AbstractIn metrology, Monte-Carlo Methods are used to evaluate the measurement uncertainty whereas m...
As parametric variation increases in importance with shrinking dimensions and increasing integration...
This special issue of Metrologia is the first that is not devoted to units, or constants, or measur...
This book fulfills the global need to evaluate measurement results along with the associated uncerta...
The estimation theory is reviewed. Attention is given to optimal techniques, specially the linear, u...
This introduction to measurement uncertainty is intended for metrology professionals working in cali...
Civil engineering is a branch of science that covers a broad range of areas where experimental proce...
Metrology, the science of measurement, is crucial for many sciences and technological developments. ...
Typically, a measurement is regarded as being incomplete without a statement of uncertainty being pr...
The Guide to the expression of measurement uncertainty, (GUM, JCGM 100) and its Supplement...
All measurements of physical quantities are affected by uncertainty. Understanding the origin of unc...
This volume of Methods of Experimental Physics provides an extensive introduction to probability and...
This article provides an overview of the interplay between statistics and measurement. Measurement q...
The goal of acceptable quality, cost, and time is a decisive challenge in every engineering developm...
Abstract: Measurement uncertainty characterizes the quality of a measurement result. It is determine...
AbstractIn metrology, Monte-Carlo Methods are used to evaluate the measurement uncertainty whereas m...
As parametric variation increases in importance with shrinking dimensions and increasing integration...