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       IM Publications :: NIR Spectroscopy :: Multivariate Analysis of Quality: An Introduction

 

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Multivariate Analysis of Quality: An Introduction
Multivariate Analysis of Quality: An Introduction 
Multivariate data analysis is a central tool whenever several variables need to be considered at the same time. The present book explains a powerful and versatile way to analyse data tables, suitable also for researchers without formal training in statistics.
This method for extracting useful information from data is demonstrated for various types of quality assessment, ranging from human quality perception via industrial quality monitoring to health quality and its molecular basis.

Key features include:

  • minimum mathematics; all technical details in appendix form
  • very accessible style with cartoons, self assessment questions and wide range of practical examples
  • All data sets availabe Free online on Chemometrics World (http://www.wiley.co.k/wileychi/chemometrics).


  • This book is essential reading for researchers who need data analysis in practice, it will be of particular interest to chemometricians, sensometricians and food scientists already familiar with Harald's previous book.The book is written with ISO certified businesses and laboratories in mind, to enhance Total Quality Management (TQM). As yet there are no clear guidelines for realistic data analysis of quality in complex systems - this volume bridges the gap.


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    Contents

    • Why Multivariate Data Analysis
    • Qualimetrics for Determining Quality
    • A Layman's Guide to Multivariate Data Analysis
    • Some Estimation Concepts
    • Analysis of One Data Table X: Principal Component Analysis
    • Analysis of Two Data Tables X and Y: Partial Least Squares Regression (PLSR)
    • Example of a Multivariate Calibration Project
    • Interpretation of ManyTypes of Data X - Y: Exploring Relationships in Interdisciplinary Data Sets
    • Classification and Discrimination X1, X2, X3.....Handling Heterogeneous Sample Sets
    • Validation X? Y??
    • Experimental Planning Y? X!
    • Multivariate Calibration: Quality Determination of Wheat from High-spec NIR Spectra
    • Analysis of Questionnaire Data: What Determins Quality of the Working Environment?
    • Analysis of a Heterogeneous Sample Set: Predicting Toxicity from Quantum Chemistry
    • Multivariate Statistical Process Control: Quality Monitoring of a Sugar Production Process
    • Design and Analysis of Controlled Experiments: Reducing Loss of Quality in Stored Food
    • How the Present Book Relates to Some Mathematical Modelling Traditions in Science
    • Sensory Science
    • Bi-linear Modelling Has Many Applications
    • Common Problems and Pitfalls in Soft Modelling
    • A4 Mathematical Details
    • A5 PCA Details
    • A6 PLS Regression Details
    • A7Modelling the Unknown
    • A8 Non-linearity and Weighting
    • A9 Classification and Outlier Detection
    • A10 Cross-validation Details
    • A11 Power Estimation Details
    • A12 What Makes NIR Data So Information -rich?
    • A13 Consequences of the Working Environment Survey
    • A14 Details of the Molecule Class Models
    • A15 Forecasting the Future
    • A16 Significance Testing with Cross-validation vs. ANOVA
    • References
    • Index


    Details
     
    Author Harald Martens, Magni Martens
    Binding Hardback
    Published 2001
    No. Pages xx + 445
    Availability In stock for immediate despatch

    Price:

    £175.50

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