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Techniques for Data Management and Statistical Analysis addresses the critical need for robust data handling and analytical rigor in contemporary research and practice. Effective data management is paramount for ensuring data quality, integrity, and accessibility, while sound statistical analysis is essential for extracting meaningful insights and validating hypotheses. Navigating the complexities of data collection, processing, and interpretation presents significant challenges across various disciplines. This book systematically explores foundational concepts in data management, including its evolution, principles, and best practices. It delves into essential statistical topics such as multivariate normal distributions, random variables, and measurement theory, elucidating their properties and applications. Advanced analytical methods are covered, including exploratory and confirmatory factor analysis, comprehensive data analysis techniques, data mining methodologies, hypothesis testing, and various regression models, including mediation and moderation analysis. This comprehensive resource is designed for students, researchers, and professionals seeking to master the theoretical underpinnings and practical application of data management and statistical analysis.
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Informazioni sull'autore
Ronald Myers, an Australia-based author, possesses a Doctorate and expertise in data management and advanced statistical analysis. This work encompasses multivariate normal distribution, factor analysis, data mining, and hypothesis testing, providing comprehensive insights into complex data techniques.
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Buch. Condizione: Neu. Techniques for Data Management and Statistical Analysis | Ronald Myers | Buch | Englisch | 2026 | Oryson Press | EAN 9798902113300 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Codice articolo 136404845
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Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Techniques for Data Management and Statistical Analysis addresses the critical need for robust data handling and analytical rigor in contemporary research and practice. Effective data management is paramount for ensuring data quality, integrity, and accessibility, while sound statistical analysis is essential for extracting meaningful insights and validating hypotheses. Navigating the complexities of data collection, processing, and interpretation presents significant challenges across various disciplines.This book systematically explores foundational concepts in data management, including its evolution, principles, and best practices. It delves into essential statistical topics such as multivariate normal distributions, random variables, and measurement theory, elucidating their properties and applications. Advanced analytical methods are covered, including exploratory and confirmatory factor analysis, comprehensive data analysis techniques, data mining methodologies, hypothesis testing, and various regression models, including mediation and moderation analysis.This comprehensive resource is designed for students, researchers, and professionals seeking to master the theoretical underpinnings and practical application of data management and statistical analysis. Codice articolo 9798902113300
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