Mathematical and Statistical Tools for Data Analysis: A Practical Guide to Descriptive, Inferential, and Multivariate Methods for Environmental Analysis - Softcover
Synopsis
This work presents an in-depth exploration of the essential statistical methods and techniques for data analysis. It covers the fundamental concepts necessary for understanding statistics, as well as the mathematical parameters underlying these tools.Statistical tests form a central focus, including methods for assessing data normality and techniques for comparing populations. Classical tests such as the t-test and the Wilcoxon test are discussed, along with approaches for comparing two independent populations.Multivariate analysis is also addressed, with concepts such as the Divergence Coefficient, Enrichment Factor, and Pearson Correlation. Advanced techniques, including Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA), are explored, providing powerful tools for interpreting complex datasets.In sum, this work serves as a valuable resource for anyone seeking to master statistical tools and apply this knowledge across various fields of study.
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Mathematical and Statistical Tools for Data Analysis (Paperback)
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LAP Lambert Academic Publishing, 2026
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ISBN 13: 9786209579561
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Paperback. Condition: new. Paperback. This work presents an in-depth exploration of the essential statistical methods and techniques for data analysis. It covers the fundamental concepts necessary for understanding statistics, as well as the mathematical parameters underlying these tools.Statistical tests form a central focus, including methods for assessing data normality and techniques for comparing populations. Classical tests such as the t-test and the Wilcoxon test are discussed, along with approaches for comparing two independent populations.Multivariate analysis is also addressed, with concepts such as the Divergence Coefficient, Enrichment Factor, and Pearson Correlation. Advanced techniques, including Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA), are explored, providing powerful tools for interpreting complex datasets.In sum, this work serves as a valuable resource for anyone seeking to master statistical tools and apply this knowledge across various fields of study. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9786209579561
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Mathematical and Statistical Tools for Data Analysis
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Mathematical and Statistical Tools for Data Analysis
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Mathematical and Statistical Tools for Data Analysis
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Mathematical and Statistical Tools for Data Analysis
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Mathematical and Statistical Tools for Data Analysis
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Mathematical and Statistical Tools for Data Analysis (Paperback)
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LAP Lambert Academic Publishing, 2026
ISBN 10: 6209579566
ISBN 13: 9786209579561
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Paperback. Condition: new. Paperback. This work presents an in-depth exploration of the essential statistical methods and techniques for data analysis. It covers the fundamental concepts necessary for understanding statistics, as well as the mathematical parameters underlying these tools.Statistical tests form a central focus, including methods for assessing data normality and techniques for comparing populations. Classical tests such as the t-test and the Wilcoxon test are discussed, along with approaches for comparing two independent populations.Multivariate analysis is also addressed, with concepts such as the Divergence Coefficient, Enrichment Factor, and Pearson Correlation. Advanced techniques, including Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA), are explored, providing powerful tools for interpreting complex datasets.In sum, this work serves as a valuable resource for anyone seeking to master statistical tools and apply this knowledge across various fields of study. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9786209579561
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Mathematical and Statistical Tools for Data Analysis (Paperback)
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ISBN 10: 6209579566
ISBN 13: 9786209579561
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Paperback. Condition: new. Paperback. This work presents an in-depth exploration of the essential statistical methods and techniques for data analysis. It covers the fundamental concepts necessary for understanding statistics, as well as the mathematical parameters underlying these tools.Statistical tests form a central focus, including methods for assessing data normality and techniques for comparing populations. Classical tests such as the t-test and the Wilcoxon test are discussed, along with approaches for comparing two independent populations.Multivariate analysis is also addressed, with concepts such as the Divergence Coefficient, Enrichment Factor, and Pearson Correlation. Advanced techniques, including Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA), are explored, providing powerful tools for interpreting complex datasets.In sum, this work serves as a valuable resource for anyone seeking to master statistical tools and apply this knowledge across various fields of study. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9786209579561
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Mathematical and Statistical Tools for Data Analysis
Published by
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ISBN 10: 6209579566
ISBN 13: 9786209579561
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Mathematical and Statistical Tools for Data Analysis
Published by
LAP LAMBERT Academic Publishing Jan 2026, 2026
ISBN 10: 6209579566
ISBN 13: 9786209579561
New
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This work presents an in-depth exploration of the essential statistical methods and techniques for data analysis. It covers the fundamental concepts necessary for understanding statistics, as well as the mathematical parameters underlying these tools.Statistical tests form a central focus, including methods for assessing data normality and techniques for comparing populations. Classical tests such as the t-test and the Wilcoxon test are discussed, along with approaches for comparing two independent populations.Multivariate analysis is also addressed, with concepts such as the Divergence Coefficient, Enrichment Factor, and Pearson Correlation. Advanced techniques, including Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA), are explored, providing powerful tools for interpreting complex datasets.In sum, this work serves as a valuable resource for anyone seeking to master statistical tools and apply this knowledge across various fields of study.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch. Seller Inventory # 9786209579561