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This updated and expanded second edition has the same theme as the first: the price, the number, someone puts on a product to help consumers decide to buy that product, comes from statistically modeling data.
Five new chapters provide a wider perspective on pricing analytics to more effectively develop elasticities and pricing strategies. This book gives readers the statistical modeling tools needed to get the number to put on a product, based on economic and statistical principles and theory. It covers elasticities, methodologies for analyzing customer choices including conjoint analysis, pricing segmentation, big data and econometric models―now with improved explanations and developments. The second edition adds discussion of three important and advanced topics: simulations for testing strategies under different conditions such as scenario analysis, AI applications for elasticity estimation and dynamic pricing, and the impacts of tariffs.
A comprehensive and essential resource for analysts―economists, statisticians, or market researchers―who must estimate the optimal price for a product or service, this book is also a helpful guide for upper-level students in analytics disciplines.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull'autore
Walter R. Paczkowski is the founder of Data Analytics Corp., a statistical and data modeling consultancy, and a former lecturer in the Department of Economics at Rutgers University. He holds a Ph.D. in Economics from Texas A&M University, and has published several books on aspects of data science including Pricing Analytics (2018) and Deep Analytics for New Product Development (2020).
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Pricing Analytics (Hardcover)
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Taylor & Francis Ltd, London, 2026
ISBN 10: 1041198116
ISBN 13: 9781041198116
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Hardcover. Condizione: new. Hardcover. This updated and expanded second edition has the same theme as the first: the price, the number, someone puts on a product to help consumers decide to buy that product, comes from statistically modeling data.Five new chapters provide a wider perspective on pricing analytics to more effectively develop elasticities and pricing strategies. This book gives readers the statistical modeling tools needed to get the number to put on a product, based on economic and statistical principles and theory. It covers elasticities, methodologies for analyzing customer choices including conjoint analysis, pricing segmentation, big data and econometric modelsnow with improved explanations and developments. The second edition adds discussion of three important and advanced topics: simulations for testing strategies under different conditions such as scenario analysis, AI applications for elasticity estimation and dynamic pricing, and the impacts of tariffs.A comprehensive and essential resource for analystseconomists, statisticians, or market researcherswho must estimate the optimal price for a product or service, this book is also a helpful guide for upper-level students in analytics disciplines. This updated and expanded second edition has the same theme as the first: the price, the number, someone puts on a product to help consumers decide to buy that product, comes from statistically modeling data. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781041198116
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Pricing Analytics (Hardcover)
Editore:
Taylor & Francis Ltd, London, 2026
ISBN 10: 1041198116
ISBN 13: 9781041198116
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Hardcover. Condizione: new. Hardcover. This updated and expanded second edition has the same theme as the first: the price, the number, someone puts on a product to help consumers decide to buy that product, comes from statistically modeling data.Five new chapters provide a wider perspective on pricing analytics to more effectively develop elasticities and pricing strategies. This book gives readers the statistical modeling tools needed to get the number to put on a product, based on economic and statistical principles and theory. It covers elasticities, methodologies for analyzing customer choices including conjoint analysis, pricing segmentation, big data and econometric modelsnow with improved explanations and developments. The second edition adds discussion of three important and advanced topics: simulations for testing strategies under different conditions such as scenario analysis, AI applications for elasticity estimation and dynamic pricing, and the impacts of tariffs.A comprehensive and essential resource for analystseconomists, statisticians, or market researcherswho must estimate the optimal price for a product or service, this book is also a helpful guide for upper-level students in analytics disciplines. This updated and expanded second edition has the same theme as the first: the price, the number, someone puts on a product to help consumers decide to buy that product, comes from statistically modeling data. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9781041198116
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Pricing Analytics (Hardcover)
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Taylor & Francis Ltd, London, 2026
ISBN 10: 1041198116
ISBN 13: 9781041198116
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Hardcover. Condizione: new. Hardcover. This updated and expanded second edition has the same theme as the first: the price, the number, someone puts on a product to help consumers decide to buy that product, comes from statistically modeling data.Five new chapters provide a wider perspective on pricing analytics to more effectively develop elasticities and pricing strategies. This book gives readers the statistical modeling tools needed to get the number to put on a product, based on economic and statistical principles and theory. It covers elasticities, methodologies for analyzing customer choices including conjoint analysis, pricing segmentation, big data and econometric modelsnow with improved explanations and developments. The second edition adds discussion of three important and advanced topics: simulations for testing strategies under different conditions such as scenario analysis, AI applications for elasticity estimation and dynamic pricing, and the impacts of tariffs.A comprehensive and essential resource for analystseconomists, statisticians, or market researcherswho must estimate the optimal price for a product or service, this book is also a helpful guide for upper-level students in analytics disciplines. This updated and expanded second edition has the same theme as the first: the price, the number, someone puts on a product to help consumers decide to buy that product, comes from statistically modeling data. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9781041198116
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Pricing Analytics
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Pricing Analytics: Models and Advanced Quantitative Techniques for Product Pricing
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Pricing Analytics
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Walter R. Paczkowski is the founder of Data Analytics Corp., a statistical and data modeling consultancy, and a former lecturer in the Department of Economics at Rutgers University. He holds a Ph.D. in Economics from Texas A&M University, and . Codice articolo 3072810846
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Pricing Analytics : Models and Advanced Quantitative Techniques for Product Pricing
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Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This updated and expanded second edition has the same theme as the first: the price, the number, someone puts on a product to help consumers decide to buy that product, comes from statistically modeling data.Five new chapters provide a wider perspective on pricing analytics to more effectively develop elasticities and pricing strategies. This book gives readers the statistical modeling tools needed to get the number to put on a product, based on economic and statistical principles and theory. It covers elasticities, methodologies for analyzing customer choices including conjoint analysis, pricing segmentation, big data and econometric models-now with improved explanations and developments. The second edition adds discussion of three important and advanced topics: simulations for testing strategies under different conditions such as scenario analysis, AI applications for elasticity estimation and dynamic pricing, and the impacts of tariffs.A comprehensive and essential resource for analysts-economists, statisticians, or market researchers-who must estimate the optimal price for a product or service, this book is also a helpful guide for upper-level students in analytics disciplines. Codice articolo 9781041198116
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Pricing Analytics | Models and Advanced Quantitative Techniques for Product Pricing
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Buch. Condizione: Neu. Pricing Analytics | Models and Advanced Quantitative Techniques for Product Pricing | Walter R. Paczkowski | Buch | Einband - fest (Hardcover) | Englisch | 2026 | Routledge | EAN 9781041198116 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Codice articolo 136793055
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Pricing Analytics Models and Advanced Quantitative Techniques for Product Pricing
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Gebundene Ausgabe. Condizione: Neu. This updated and expanded second edition has the same theme as the first: the price, the number, someone puts on a product to help consumers decide to buy that product, comes from statistically modeling data.Five new chapters provide a wider perspective on pricing analytics to more effectively develop elasticities and pricing strategies. This book gives readers the statistical modeling tools needed to get the number to put on a product, based on economic and statistical principles and theory. It covers elasticities, methodologies for analyzing customer choices including conjoint analysis, pricing segmentation, big data and econometric models-now with improved explanations and developments. The second edition adds discussion of three important and advanced topics: simulations for testing strategies under different conditions such as scenario analysis, AI applications for elasticity estimation and dynamic pricing, and the impacts of tariffs.A comprehensive and essential resource for analysts-economists, statisticians, or market researchers-who must estimate the optimal price for a product or service, this book is also a helpful guide for upper-level students in analytics disciplines. Sprache: Englisch Gewicht in Gramm: 843. Codice articolo IB-32155
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