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Data Analysis book from C.H.I.P.S.

Multi-way Analysis
Applications in the Chemical Sciences
by Age Smilde
Rasmus Bro
and Paul Geladi

Multi-way Analysis presents a detailed description of three-way and multi-way arrays, their properties and the methods utilized to model these arrays mathematically.

Multi-way component analysis is introduced by its two most important models - Tucker3 and PARAFAC.

In addition, intermediate and derived models are included.

Multi-way Analysis is aimed at researchers who are interested in theoretical and practical aspects of data analysis.

Multi-way Analysis is directly relevant to chemical science such as analytical, environmental, clinical and physical chemistry.

In addition, Multi-way Analysis is pertinent to chemometrics, bioinformatics, biochemistry, process analysis, food chemistry and sensory analysis.

Contents:

  1. Introduction
  2. Array definitions and properties
  3. Two-way component and regression models
  4. Three-way component and regression models
  5. Some properties of three-way component models
  6. Algorithms
  7. Validation and diagnostics
  8. Visualization
  9. Preprocessing
  10. Applications
Index

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Multi-way Analysis
Applications in the Chemical Sciences
by Age Smilde, Rasmus Bro and Paul Geladi

381 pages $184.00 + shipping
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