Uncertainty Analysis is the prediction of the uncertainty interval which should be associated with an experimental result, based on observations of the scatter in the raw data used in calculating the result. In this paper, the process i
An important part of statistical data analysis is hypothesis testing. For example, we know the proba...
Traditionally, practitioners start a statistical analysis of a given sample x1, … , xn by computing ...
All measurements of physical quantities are affected by uncertainty. Understanding the origin of unc...
I I It is no longer acceptable, in most circles, to present experimental results without describing ...
Dealing with Uncertainties proposes and explains a new approach for the analysis of uncertainties. F...
This paper considers the well-known concept of uncertainty of a measurement result and discusses the...
Uncertainty is ubiquitous. Depending on what information we have, we get different types of uncertai...
Come up with a probable bound on a measured value xtrue = xmeas ± ux at C % confidence or n:1 odds ...
Measurement uncertainty can be quantified using calculation/estimation of single components of uncer...
Abstract: This paper would provide the analyst with an easy to use step-by-step guide to calculate t...
The objective of the trials was to estimate in different products (matrices) the components of the m...
International audienceInterval analysis procedures are used to estimate the parameters of an experim...
The probability distribution of a model prediction is presented as a proper basis for evaluating the...
Each sub-model has to be specified by a set of parameters, which are imperfectly known; it may also ...
In performing a measurement, we encounter errors or biases from a number of sources. Such sources in...
An important part of statistical data analysis is hypothesis testing. For example, we know the proba...
Traditionally, practitioners start a statistical analysis of a given sample x1, … , xn by computing ...
All measurements of physical quantities are affected by uncertainty. Understanding the origin of unc...
I I It is no longer acceptable, in most circles, to present experimental results without describing ...
Dealing with Uncertainties proposes and explains a new approach for the analysis of uncertainties. F...
This paper considers the well-known concept of uncertainty of a measurement result and discusses the...
Uncertainty is ubiquitous. Depending on what information we have, we get different types of uncertai...
Come up with a probable bound on a measured value xtrue = xmeas ± ux at C % confidence or n:1 odds ...
Measurement uncertainty can be quantified using calculation/estimation of single components of uncer...
Abstract: This paper would provide the analyst with an easy to use step-by-step guide to calculate t...
The objective of the trials was to estimate in different products (matrices) the components of the m...
International audienceInterval analysis procedures are used to estimate the parameters of an experim...
The probability distribution of a model prediction is presented as a proper basis for evaluating the...
Each sub-model has to be specified by a set of parameters, which are imperfectly known; it may also ...
In performing a measurement, we encounter errors or biases from a number of sources. Such sources in...
An important part of statistical data analysis is hypothesis testing. For example, we know the proba...
Traditionally, practitioners start a statistical analysis of a given sample x1, … , xn by computing ...
All measurements of physical quantities are affected by uncertainty. Understanding the origin of unc...
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