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

click here to see books • videos • cd-roms of related interest

ORDER NOW Multi-way Analysis Applications in the Chemical Sciences by Age Smilde, Rasmus Bro and Paul Geladi 381 pages • $184.00 + shipping Texas residents please add 6.75 % sales tax