Mathematical Statistical Tools Data by Ait Bouh (13 results)

Condition: New.

Condition: New.

Taschenbuch. Condition: Neu. Mathematical and Statistical Tools for Data Analysis | A Practical Guide to Descriptive, Inferential, and Multivariate Methods for Environmental Analysis | Hasna Ait Bouh | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209579561 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 56 pp. Englisch.

Condition: New. Print on Demand.

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.

Condition: New. PRINT ON DEMAND.

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.

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.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.