Measurement analysis : an introduction to the statistical analysis of laboratory data in physics, chemistry and the life sciences

 Content: Measurements, errors and estimates --
 Error and Uncertainty --
 Resolution and reading error --
 The illegitimate error --
 Uncertainty and systematic error --
 Uncertainty and casual error --
 The expression of expanded uncertainty --
 Distribution of data and errors --
 Probability and distributions --
 Distribution functions --
 The Binomial distribution function --
 The Poisson distribution function --
 The Guass distribution function --
 Relations between distribution functions --
 The constant distribution function and the reading error --
 Processing of data and uncertainties --
 The combination of uncertainties --
 Rigorous calculation for the estimate of the combined uncertainty --
 The number of significant digits --
 The problem of correlation --
 The error matrix or matrix of uncertainties --
 Interpolation and combination of uncertainties --
 Extrapolation and combination of uncertainties --
 Mean standard deviation and the weighted mean --
 Accuracy tests --
 Hypotheses and the verification of accuracy --
 Maximum likelihood --
 The x[superscript 2] parameter --
 Minimisation --
 The x[superscript 2] accuracy test --
 The number of degrees of freedom --
 The parameter x[superscript 2 subscript r] --
 The x[superscript 2] probability function --
 The t accuracy test --
 The F accuracy test --
 The F test for the analysis of one variance or ANOVA --
 The generalised x[superscript 2] accuracy test --
 Confidence, trust and expanded uncertainty --
 Probability intervals --
 The confidence or trust level --
 The t parameter and the confidence level.