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EUR 125,88
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Condizione: New.
Lingua: Inglese
Editore: John Wiley & Sons Inc, New York, 2025
ISBN 10: 139421121X ISBN 13: 9781394211210
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 126,37
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Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 137,74
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 125,87
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Aggiungi al carrelloCondizione: New.
Condizione: New.
Lingua: Inglese
Editore: John Wiley & Sons Inc, New York, 2022
ISBN 10: 1119600960 ISBN 13: 9781119600961
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. Multiblock Data Fusion in Statistics and Machine Learning Explore the advantages and shortcomings of various forms of multiblock analysis, and the relationships between them, with this expert guide Arising out of fusion problems that exist in a variety of fields in the natural and life sciences, the methods available to fuse multiple data sets have expanded dramatically in recent years. Older methods, rooted in psychometrics and chemometrics, also exist. Multiblock Data Fusion in Statistics and Machine Learning: Applications in the Natural and Life Sciences is a detailed overview of all relevant multiblock data analysis methods for fusing multiple data sets. It focuses on methods based on components and latent variables, including both well-known and lesser-known methods with potential applications in different types of problems. Many of the included methods are illustrated by practical examples and are accompanied by a freely available R-package. The distinguished authors have created an accessible and useful guide to help readers fuse data, develop new data fusion models, discover how the involved algorithms and models work, and understand the advantages and shortcomings of various approaches. This book includes: A thorough introduction to the different options available for the fusion of multiple data sets, including methods originating in psychometrics and chemometricsPractical discussions of well-known and lesser-known methods with applications in a wide variety of data problemsIncluded, functional R-code for the application of many of the discussed methods Perfect for graduate students studying data analysis in the context of the natural and life sciences, including bioinformatics, sensometrics, and chemometrics, Multiblock Data Fusion in Statistics and Machine Learning: Applications in the Natural and Life Sciences is also an indispensable resource for developers and users of the results of multiblock methods. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 138,63
Quantità: 4 disponibili
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 137,73
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 138,42
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EUR 155,24
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Da: BennettBooksLtd, Los Angeles, CA, U.S.A.
Hardcover. Condizione: New. In shrink wrap. Looks like an interesting title!
Lingua: Inglese
Editore: John Wiley and Sons Inc, US, 2025
ISBN 10: 139421121X ISBN 13: 9781394211210
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 163,49
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Aggiungi al carrelloHardback. 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.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 151,23
Quantità: 11 disponibili
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 150,13
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: Majestic Books, Hounslow, Regno Unito
EUR 167,29
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Aggiungi al carrelloCondizione: New. pp. 256.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 162,15
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EUR 178,49
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: John Wiley and Sons Inc, US, 2022
ISBN 10: 1119600960 ISBN 13: 9781119600961
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 181,08
Quantità: 2 disponibili
Aggiungi al carrelloHardback. Condizione: New. Multiblock Data Fusion in Statistics and Machine Learning Explore the advantages and shortcomings of various forms of multiblock analysis, and the relationships between them, with this expert guide Arising out of fusion problems that exist in a variety of fields in the natural and life sciences, the methods available to fuse multiple data sets have expanded dramatically in recent years. Older methods, rooted in psychometrics and chemometrics, also exist. Multiblock Data Fusion in Statistics and Machine Learning: Applications in the Natural and Life Sciences is a detailed overview of all relevant multiblock data analysis methods for fusing multiple data sets. It focuses on methods based on components and latent variables, including both well-known and lesser-known methods with potential applications in different types of problems. Many of the included methods are illustrated by practical examples and are accompanied by a freely available R-package. The distinguished authors have created an accessible and useful guide to help readers fuse data, develop new data fusion models, discover how the involved algorithms and models work, and understand the advantages and shortcomings of various approaches. This book includes: A thorough introduction to the different options available for the fusion of multiple data sets, including methods originating in psychometrics and chemometricsPractical discussions of well-known and lesser-known methods with applications in a wide variety of data problemsIncluded, functional R-code for the application of many of the discussed methods Perfect for graduate students studying data analysis in the context of the natural and life sciences, including bioinformatics, sensometrics, and chemometrics, Multiblock Data Fusion in Statistics and Machine Learning: Applications in the Natural and Life Sciences is also an indispensable resource for developers and users of the results of multiblock methods.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 168,43
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. 2025. 1st Edition. hardcover. . . . . .
Condizione: New. pp. 256 1st edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: John Wiley & Sons Inc, New York, 2025
ISBN 10: 139421121X ISBN 13: 9781394211210
Da: CitiRetail, Stevenage, Regno Unito
EUR 143,44
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 167,78
Quantità: 4 disponibili
Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
EUR 174,94
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Da: Revaluation Books, Exeter, Regno Unito
EUR 180,11
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 256 pages. 7.36x9.96x10.31 inches. In Stock.
EUR 178,08
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