This book presents a modern perspective on Statistics as both a scientific discipline and a powerful method for investigating real-world phenomena. Rooted in the need to understand variability, uncertainty, and complex processes, it integrates classical statistical theory with contemporary approaches based on information concepts such as entropy, informational energy, and correlation. Emphasizing practical relevance, the book focuses on measuring uncertainty, assessing risk, and supporting decision-making in situations where complete information is unattainable. It bridges theory and application by combining Probability Theory with statistical modeling techniques used in diverse domains. Designed for graduate students and practitioners, the text demonstrates how computational tools, particularly Matlab and its Statistical Toolbox, can simplify data analysis and enhance problem-solving efficiency. Through real-world examples drawn from finance, quality control, and other applied fields, readers gain insight into the versatility and power of statistical methods in addressing complex challenges.
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Carmen Violeta Popescu is a PhD Lecturer in Mathematics at Vasile Alecsandri University of Bac¿u, specializing in Approximation Theory and Statistics. Gloria Cerasela Cri¿an is a PhD Lecturer at the same University, with research focused on Artificial Intelligence models and their applications.
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Paperback. Zustand: new. Paperback. This book presents a modern perspective on Statistics as both a scientific discipline and a powerful method for investigating real-world phenomena. Rooted in the need to understand variability, uncertainty, and complex processes, it integrates classical statistical theory with contemporary approaches based on information concepts such as entropy, informational energy, and correlation. Emphasizing practical relevance, the book focuses on measuring uncertainty, assessing risk, and supporting decision-making in situations where complete information is unattainable. It bridges theory and application by combining Probability Theory with statistical modeling techniques used in diverse domains. Designed for graduate students and practitioners, the text demonstrates how computational tools, particularly Matlab and its Statistical Toolbox, can simplify data analysis and enhance problem-solving efficiency. Through real-world examples drawn from finance, quality control, and other applied fields, readers gain insight into the versatility and power of statistical methods in addressing complex challenges. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9786209827228
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Taschenbuch. Zustand: Neu. Foundations and Applications of Statistics: A Computational Approach | Second Edition | Carmen Violeta Popescu (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209827228 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 135117240
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents a modern perspective on Statistics as both a scientific discipline and a powerful method for investigating real-world phenomena. Rooted in the need to understand variability, uncertainty, and complex processes, it integrates classical statistical theory with contemporary approaches based on information concepts such as entropy, informational energy, and correlation. Emphasizing practical relevance, the book focuses on measuring uncertainty, assessing risk, and supporting decision-making in situations where complete information is unattainable. It bridges theory and application by combining Probability Theory with statistical modeling techniques used in diverse domains. Designed for graduate students and practitioners, the text demonstrates how computational tools, particularly Matlab and its Statistical Toolbox, can simplify data analysis and enhance problem-solving efficiency. Through real-world examples drawn from finance, quality control, and other applied fields, readers gain insight into the versatility and power of statistical methods in addressing complex challenges.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 224 pp. Englisch. Bestandsnummer des Verkäufers 9786209827228
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Paperback. Zustand: new. Paperback. This book presents a modern perspective on Statistics as both a scientific discipline and a powerful method for investigating real-world phenomena. Rooted in the need to understand variability, uncertainty, and complex processes, it integrates classical statistical theory with contemporary approaches based on information concepts such as entropy, informational energy, and correlation. Emphasizing practical relevance, the book focuses on measuring uncertainty, assessing risk, and supporting decision-making in situations where complete information is unattainable. It bridges theory and application by combining Probability Theory with statistical modeling techniques used in diverse domains. Designed for graduate students and practitioners, the text demonstrates how computational tools, particularly Matlab and its Statistical Toolbox, can simplify data analysis and enhance problem-solving efficiency. Through real-world examples drawn from finance, quality control, and other applied fields, readers gain insight into the versatility and power of statistical methods in addressing complex challenges. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9786209827228
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