For students in statistics, data science, engineering, and science programs needing a solid course in statistical theory and methods.
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Steven E. Rigdon is Professor of Biostatistics at Saint Louis University. He is a fellow of the American Statistical Association and is the author of Statistical Methods for the Reliability of Repairable Systems Calculus, 8th and 9th editions, Monitoring the Health of Populations by Tracking Disease Outbreaks (2020), and Design of Experiments for Reliability Achievement (2022). He has received the Waldo Vizeau Award for technical contributions to quality, the Soren Bisgaard Award, and the Paul Simon Award for linking teaching and research. He is also Distinguished Research Professor Emeritus at Southern Illinois University Edwardsville.
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Taschenbuch. Zustand: Neu. Neuware -This textbook is designed for students in statistics, data science, biostatistics, engineering, and physical science programs who need a solid course in the fundamental concepts, methods and theory of statistics to understand, use, and build on modern statistical techniques for complex problems. Examples and exercises incorporate data and R code.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 828 pp. Englisch. Artikel-Nr. 9781009568357
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Taschenbuch. Zustand: Neu. Introduction to Probability and Statistics for Data Science | with R | Steven E. Rigdon (u. a.) | Taschenbuch | Englisch | 2024 | Cambridge University Pr. | EAN 9781009568357 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. Artikel-Nr. 129274480
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Taschenbuch. Zustand: Neu. Neuware - This textbook is designed for students in statistics, data science, biostatistics, engineering, and physical science programs who need a solid course in the fundamental concepts, methods and theory of statistics to understand, use, and build on modern statistical techniques for complex problems. Examples and exercises incorporate data and R code. Artikel-Nr. 9781009568357
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