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Sinopsis
Designed for courses that provide a conceptual and broad-based introduction to econometrics and business analytics, Predictive Analytics for Business Strategy, 1st edition provides future managers with a basic understanding of what data can do in forming business strategy without getting into a taxonomy of models and their statistical properties. Through engaging questions, explanations, and applications, students develop a deeper understanding of the fundamental reasoning behind how and why analysis can generate actionable knowledge and learn to think critically about whether a given analysis has merit or not.
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Acerca del autor
Jeffrey T. Prince is Professor of Business Economics & Public Policy and Harold A. Poling Chair in Strategic Management at Indiana University's Kelley School of Business. He received his B.A. in economics and B.S. in mathematics and statistics from Miami University in 1998 and earned a Ph.D. in economics from Northwestern University in 2004. Prior to joining Indiana University, he taught graduate and undergraduate courses at Cornell University.
Jeff has won top teaching honors as a faculty member at both Indiana University and Cornell, and as a graduate student at Northwestern. He has a broad research agenda within applied economics, having written and published on topics that include demand in technology and telecommunications markets, internet diffusion, regulation in healthcare, risk aversion in insurance markets, and quality competition among airlines. He is one of a small number of economists to have published in both the top journal in economics (American Economic Review) and the top journal in management (Academy of Management Journal). Professor Prince currently is a co-editor at the Journal of Economics and Management Strategy, and serves on the editorial board for Information Economics and Policy. In his free time, Jeff enjoys activities ranging from poker and bridge to running and racquetball.
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Loose Leaf for Predictive Analytics for Business Strategy
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McGraw-Hill Education, 2018
ISBN 10: 1260173615
ISBN 13: 9781260173611
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Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
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Loose Leaf for Predictive Analytics for Business Strategy
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Predictive Analytics for Business Strategy
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Predictive Analytics for Business Strategy
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Predictive Analytics for Business Strategy
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Paperback. Condición: Brand New. unbnd edition. 368 pages. 9.13x8.07x0.43 inches. In Stock. Nº de ref. del artículo: 1260173615
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Predictive Analytics for Business Strategy
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Loose Leaf for Predictive Analytics for Business Strategy (Loose Leaf)
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Loose Leaf. Condición: new. Loose Leaf. Designed for courses that provide a conceptual and broad-based introduction to econometrics and business analytics, Predictive Analytics for Business Strategy, 1st edition provides future managers with a basic understanding of what data can do in forming business strategy without getting into a taxonomy of models and their statistical properties. Through engaging questions, explanations, and applications, students develop a deeper understanding of the fundamental reasoning behind how and why analysis can generate actionable knowledge and learn to think critically about whether a given analysis has merit or not. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9781260173611
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Predictive Analytics for Business Strategy
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 30623234
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Loose Leaf for Predictive Analytics for Business Strategy (Loose Leaf)
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Loose Leaf. Condición: new. Loose Leaf. Designed for courses that provide a conceptual and broad-based introduction to econometrics and business analytics, Predictive Analytics for Business Strategy, 1st edition provides future managers with a basic understanding of what data can do in forming business strategy without getting into a taxonomy of models and their statistical properties. Through engaging questions, explanations, and applications, students develop a deeper understanding of the fundamental reasoning behind how and why analysis can generate actionable knowledge and learn to think critically about whether a given analysis has merit or not. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781260173611
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