Statistics and Chemometrics for Analytical Chemistry, 7th edition

Published by Pearson Education (April 26, 2018) © 2018

  • James Miller Loughborough University
  • Jane C Miller  
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  • Clear, accessible introduction to the main statistical methods used in modern analytical laboratories.
  • Features a comprehensive coverage including robust statistics, Bayesian methods, and testing for normality of distribution, plus expanded material on regression and calibration methods
  • Quality of analytical measurements chapter includes up to date and detailed coverage of the estimation of measurement uncertainty and the validation of analytical methods.
  • Includes a range of experimental design methods, including the increasingly popular optimal designs.
  • Worked examples have been updated throughout to ensure compatibility with the latest versions of Excel and Minitab.
  • Exercises are available at the end of each chapter to allow student to check understanding and prepare for exams.
  • Answers are provided at the back of the book for handy reference.
  • Glossary of symbols
  • 1 Introduction
  • 2 Statistics of repeated measurements
  • 3 Significance tests
  • 4 The quality of analytical measurements
  • 5 Calibration methods in instrumental analysis: Regression and correlation
  • 6 Non-parametric and robust methods
  • 7 Experimental design and optimisation
  • 8 Multivariate analysis
  • Appendix 1: Commonly used statistical significance tests
  • Appendix 2: Statistical tables

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