Téléchargez le livre : Analysis of Variance for High-Dimensional Data

Analysis of Variance for High-Dimensional Data

Applications in Life, Food, and Chemical Sciences de

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Éditeur :

Wiley


Paru le : 2025-07-15

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Description

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.
Pages
336 pages
Collection
n.c
Parution
2025-07-15
Marque
Wiley
EAN papier
9781394211210
EAN PDF
9781394211227
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
336
Taille du fichier
7567 Ko
Prix
150,86 €
EAN EPUB
9781394211234
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
336
Taille du fichier
28324 Ko
Prix
150,86 €

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