Isbn: 9786208425401 - design of experiments and hypothesis testing: a practical approach for engineers and researchers (11 risultati)

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Condizione: New.

Taschenbuch. Condizione: Neu. Design of Experiments and Hypothesis Testing | A Practical Approach for Engineers and Researchers | Nagendra Kumar Maurya (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208425401 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 108 pp. Englisch.

Paperback. Condizione: new. Paperback. Design of Experiments and Hypothesis Testing: A Practical Approach for Engineers and Researchers offers a comprehensive, application-focused guide to planning, conducting, and analyzing experiments in engineering and scientific research. Structured into four parts, the book begins with the foundations of statistical thinking, covering experimental design principles, statistical inference, and data measurement scales. It then explores key DOE techniques, including full factorial designs, Response Surface Methodology (RSM), and Taguchi methods for robust design. The hypothesis testing section explains statistical errors, ANOVA, and non-parametric tests, equipping readers to make sound, data-driven decisions. The final section addresses multi-objective optimization, introducing Pareto fronts, trade-offs, and real-world engineering applications. This book bridges the gap between theory and practice, making complex statistical concepts accessible. It is an essential resource for students, researchers, and practicing engineers seeking to enhance process quality, optimize performance, and innovate through data-driven problem-solving. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condizione: New. Print on Demand.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Design of Experiments and Hypothesis Testing: A Practical Approach for Engineers and Researchers offers a comprehensive, application-focused guide to planning, conducting, and analyzing experiments in engineering and scientific research. Structured into four parts, the book begins with the foundations of statistical thinking, covering experimental design principles, statistical inference, and data measurement scales. It then explores key DOE techniques, including full factorial designs, Response Surface Methodology (RSM), and Taguchi methods for robust design. The hypothesis testing section explains statistical errors, ANOVA, and non-parametric tests, equipping readers to make sound, data-driven decisions. The final section addresses multi-objective optimization, introducing Pareto fronts, trade-offs, and real-world engineering applications. This book bridges the gap between theory and practice, making complex statistical concepts accessible. It is an essential resource for students, researchers, and practicing engineers seeking to enhance process quality, optimize performance, and innovate through data-driven problem-solving.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch.…

Condizione: New. PRINT ON DEMAND.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Design of Experiments and Hypothesis Testing: A Practical Approach for Engineers and Researchers offers a comprehensive, application-focused guide to planning, conducting, and analyzing experiments in engineering and scientific research. Structured into four parts, the book begins with the foundations of statistical thinking, covering experimental design principles, statistical inference, and data measurement scales. It then explores key DOE techniques, including full factorial designs, Response Surface Methodology (RSM), and Taguchi methods for robust design. The hypothesis testing section explains statistical errors, ANOVA, and non-parametric tests, equipping readers to make sound, data-driven decisions. The final section addresses multi-objective optimization, introducing Pareto fronts, trade-offs, and real-world engineering applications. This book bridges the gap between theory and practice, making complex statistical concepts accessible. It is an essential resource for students, researchers, and practicing engineers seeking to enhance process quality, optimize performance, and innovate through data-driven problem-solving.…