A smilde (17 risultati)

140 p. Paperback (Als nieuw exemplaar.).

Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condizione: New.

Condizione: New.

Condizione: New. pp. 256 1st edition NO-PA16APR2015-KAP.

Condizione: As New. Unread book in perfect condition.

Condizione: New. pp. 256.

Condizione: New. pp. 256.

Condizione: As New. Unread book in perfect condition.

Hardback. Condizione: New. 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.…

Condizione: New. In English.

Condizione: New.

Hardcover. Condizione: Brand New. 256 pages. 7.36x9.96x10.31 inches. In Stock.

Gebunden. Condizione: New. Age K. Smilde is a Professor of Biosystems Data Analysis at the Swammerdam Institute for Life Sciences at the University of Amsterdam. He also holds a part-time position at the Department of Machine Intelligence of Simula Metropolitan Center for Digital Eng.

Gebunden. Condizione: New. This book presents a detailed description of three-way and multi-way arrays, their properties and the methods utilised to model these arrays mathematically. Multi-way component analysis is introduced by its two most important models - Tucker3 and PARAFAC. I.

Hardback. Condizione: New. 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.…

M. 77 farb. Abb. 130 S. Kldr. Sign. a. Vorsatz. Sprache: Englisch 0 gr.