Dealing with Uncertainties [electronic resource] : A Guide to Error Analysis /
Drosg, Manfred.author.
Dealing with Uncertainties proposes and explains a new approach for the analysis of uncertainties. Firstly, it is shown that uncertainties are the consequence of modern science rather than of measurements. Secondly, it stresses the importance of the deductive approach to uncertainties. This perspective has the potential of dealing with the uncertainty of a single data point and of data of a set having differing weights. Both cases cannot be dealt with the inductive approach, which is usually taken. This innovative monograph also fully covers both uncorrelated and correlated uncertainties. The weakness of using statistical weights in regression analysis is discussed. Abundant examples are given for correlation in and between data sets and for the feedback of uncertainties on experiment design.
Includes index.
Basics on Data -- Basics on Uncertainties (Errors) -- Radioactive Decay, a Model for Random Events -- Frequency and Probability Distributions -- Deductive Approach to Uncertainty -- Correlation -- Dealing With Internal Uncertainties -- Presentation and Estimation of Uncertainties -- Feedback of Uncertainties on Experiment Design.
Dealing with Uncertainties proposes and explains a new approach for the analysis of uncertainties. Firstly, it is shown that uncertainties are the consequence of modern science rather than of measurements. Secondly, it stresses the importance of the deductive approach to uncertainties. This perspective has the potential of dealing with the uncertainty of a single data point and of data of a set having differing weights. Both cases cannot be dealt with the inductive approach, which is usually taken. This innovative monograph also fully covers both uncorrelated and correlated uncertainties. The weakness of using statistical weights in regression analysis is discussed. Abundant examples are given for correlation in and between data sets and for the feedback of uncertainties on experiment design.
Physical measurements.
Measurement   .
Statistics .
Measurement Science and Instrumentation.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.