## Handbook of Chemometrics and Qualimetrics, Part 1Handbook of Chemometrics and Qualimetrics |

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### Contents

1 | |

21 | |

47 | |

73 | |

Chapter 5 Some Important Hypothesis Tests | 93 |

Chapter 6 Analysis of Variance | 121 |

Chapter 7 Control Charts | 151 |

Chapter 8 Straight Line Regression and Calibration | 171 |

Chapter 16 The 2x2 Contingency Table | 475 |

Chapter 17 Principal Components | 519 |

Chapter 18 Information Theory | 557 |

Chapter 19 Fuzzy Methods | 573 |

Chapter 20 Process Modelling and Sampling | 587 |

Chapter 21 An Introduction To Experimental Design | 643 |

Chapter 22 Twolevel Factorial Designs | 659 |

Chapter 23 Fractional Factorial Designs | 683 |

Chapter 9 Vectors and Matrices | 231 |

Chapter 10 Multiple and Polynomial Regression | 263 |

Chapter 11 Nonlinear Regression | 305 |

Chapter 12 Robust Statistics | 339 |

Chapter 13 Internal Method Validation | 379 |

Chapter 14 Method Validation by Interlaboratory Studies | 441 |

Chapter 15 Other Distributions | 461 |

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### Common terms and phrases

Anal analysis analytical chemistry ANOVA applied assay bias box plot calculated calibration line candidate solutions carried central composite design Chapter chart Chem chemometrics column compute concentration confidence interval confidence limits considered contingency table correlation coefficient data of Table defined degrees of freedom described detection limit determine effect equal equation estimate example experimental design experiments factorial design factors function fuzzy fuzzy set genetic algorithms given homoscedasticity hypothesis test instance interaction IUPAC laboratory least squares linear matrix mean measurement median mixture multivariate negative non-linear normal distribution null hypothesis observations obtained optimization outcome outliers parameters plot population positive possible precision prediction probability problem procedure random regression line replicate represents residual response robust regression sample Section selection shown in Fig significant simplex situation slope spline standard deviation statistical string sum of squares systematic error t-test term variables variance vector yields zero

### Popular passages

Page 41 - ... procedure a very large number of times. The smaller the systematic part of the experimental errors which affect the results, the more accurate is the procedure.

Page 41 - ... precision: The closeness of agreement between the results obtained by applying the experimental procedure several times under prescribed conditions. The smaller the random part of the experimental errors which affect the results, the more precise is the procedure.

Page 16 - A research physicist at the National Bureau of Standards (now the National Institute of Standards and Technology) from 1951-1969, he was its director from 1 969- 1 972.

Page 44 - ... obtained by multiplying the combined standard uncertainty by a coverage factor k...

Page 40 - This process is called randomization. 2.82 true value : The value which characterizes a quantity perfectly defined in the conditions which exist at the moment when that quantity is observed (or the subject of a determination). lt is an ideal value which could be arrived at only if all causes of measurement error were eliminated and the population was infinite.

Page 13 - the chemical discipline that uses mathematical and statistical methods to design or select optimal procedures and experiments and to provide maximum chemical information by analyzing chemical data.