Analysis of Variance for High-Dimensional Data

Language: English

Published by John Wiley and Sons Inc, US, 2025

139421121X / 9781394211210

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Overview of methods for analyzing high-dimensional experimental data, including theory, methodologies, and applications Analysis of Variance for High-Dimensional Data summarizes all the methods to analyze high-dimensional data that are obtained through applying an experimental design in the life, food, and chemical sciences, especially those developed in recent years. Written by international experts who lead development in the field, Analysis of Variance for High-Dimensional Data includes information on: Basic and established theories on linear models from a mathematical and statistical perspectiveAvailable methods and their mutual relationships, including coverage of ASCA, APCA, PC-ANOVA, ASCA+, LiMM-PCA and RM-ASCA+, and PERMANOVA, as well as various alternative methods and extensionsApplications in metabolomics, microbiome, gene expression, proteomics, food science, sensory science, and chemistryCommercially available and open-source software for application of these methods Analysis of Variance for High-Dimensional Data is an essential reference for practitioners involved in data analysis in the natural sciences, including professionals working in chemometrics, bioinformatics, data science, statistics, and machine learning. The book is valuable for developers of new methods in high dimensional data analysis.

Seller Inventory # LU-9781394211210

Title
Analysis of Variance for High-Dimensional Data
Author
Age K. Smilde, Federico Marini, Johan A. Westerhuis, Kristian Hovde Liland
Publisher
John Wiley and Sons Inc, US
Publication year
2025
Condition
New
Binding
Hardback
Language
English
ISBN 10
139421121X
ISBN 13
9781394211210
Item weight
907 grams

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