Handbook of Chemometrics and Qualimetrics, Part 1[Pt. A.] Statistical description of the quality of processes and measurements -- The normal distribution -- An introduction to hypothesis testing -- Some important hypothesis tests -- Analysis of variance -- Control charts -- Straight line regression and calibration -- Vectors and matrices -- Multiple and polynomial regression -- Non-linear regression -- Robust statistics -- Internal method validation -- Method validation by interlaboratory studies -- Other distributions -- The 2x2 contingency table -- Principal components -- Fuzzy methods -- Process modelling and sampling -- An introduction to experimental design -- Two-level factorial designs -- Fractional factorial designs -- Multi-level designs -- Mixture designs -- Other optimization methods -- Genetic algorithms and other global search strategies -- [pt. B.] Vectors, matrices and operations on matrices -- Cluster analysis -- Analysis of measurement tables -- Analysis of contingency tables -- Supervised pattern recognition -- Curv ... |
Contents
Preface | 1 |
Chapter | 3 |
Statistical Description of the Quality of Processes and Measurements | 21 |
Copyright | |
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analysis analytical chemistry ANOVA applied assay b₁ bias box plot calculated calibration line Chapter chart Chem chemometrics column comparison components computed concentration confidence interval confidence limits considered contingency table correlation coefficient critical value curve data of Table data points data set defined degrees of freedom described detection determine effect equal equation estimate example experimental factor function given H₁ homoscedasticity hypothesis test interaction intercept IUPAC laboratory least squares linear linear regression matrix mean measurements median method multivariate n₁ n₂ non-linear normal distribution null hypothesis observations obtained one-sided outliers parameters plot predicted probability procedure random Rankit regression coefficients regression line replicate represents residual robust robust regression sample Section significant situation slope spline standard deviation statistical straight line sum of squares systematic error t-test t-value term validation variables variance vector x₁ y₁ yields zero