Westerhuis johan a (8 Ergebnisse)
ANALYSIS OF VARIANCE FOR HIGH-DIMENSIONAL DATA: APPLICATIONS IN LIFE, FOOD, AND CHEMICAL SCIENCES
Smilde, Age K.; Marini, Federico; Westerhuis, Johan A.; Liland, Kristian Hovde
- Hardcover
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USARomtrade Corp.
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Zustand: 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.
ANALYSIS OF VARIANCE FOR HIGH-DIMENSIONAL DATA: APPLICATIONS IN LIFE, FOOD, AND CHEMICAL SCIENCES
Smilde, Age K.; Marini, Federico; Westerhuis, Johan A.; Liland, Kristian Hovde
- Hardcover
Anbieter: SMASS Sellers, IRVING, TX, USASMASS Sellers
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EUR 112,00
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Zustand: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
Analysis of Variance for High-dimensional Data: Applications in Life, Food, and Chemical Sciences
Smilde, Age K.; Marini, Federico; Westerhuis, Johan A.; Liland, Kristian Hovde
- Hardcover
Anbieter: Books Puddle, New York, NY, USABooks Puddle
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Zustand: New. pp. 256 1st edition NO-PA16APR2015-KAP.
Analysis of Variance for High-dimensional Data: Applications in Life, Food, and Chemical Sciences
Smilde, Age K.; Marini, Federico; Westerhuis, Johan A.; Liland, Kristian Hovde
- Hardcover
Anbieter: Majestic Books, Hounslow, Vereinigtes KönigreichMajestic Books
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EUR 126,84
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Zustand: New. pp. 256.
Analysis of Variance for High-dimensional Data: Applications in Life, Food, and Chemical Sciences
Smilde, Age K.; Marini, Federico; Westerhuis, Johan A.; Liland, Kristian Hovde
- Hardcover
Anbieter: Biblios, frankfurt am main, HESSE, DeutschlandBiblios
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Zustand: New. pp. 256.
Analysis of Variance for High-Dimensional Data
Age K. Smilde, Federico Marini, Johan A. Westerhuis, Kristian Hovde Liland
- Hardcover
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes KönigreichRarewaves.com USA
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EUR 167,51
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Hardback. Zustand: 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, an…d 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.
- Hardcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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EUR 188,10
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Hardcover. Zustand: Brand New. 256 pages. 7.36x9.96x10.31 inches. In Stock.
Analysis of Variance for High-Dimensional Data
Age K. Smilde, Federico Marini, Johan A. Westerhuis, Kristian Hovde Liland
- Hardcover
Anbieter: Rarewaves.com UK, London, Vereinigtes KönigreichRarewaves.com UK
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EUR 159,19
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Hardback. Zustand: 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, an…d 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.
