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Synopsis
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.
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About the Author
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).
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Pricing Analytics (Paperback)
Published by
Taylor & Francis Ltd, London, 2026
ISBN 10: 1041198108
ISBN 13: 9781041198109
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Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Paperback. Condition: new. Paperback. 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. Seller Inventory # 9781041198109
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Pricing Analytics
Seller: moluna, Greven, Germany
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Condition: New. 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 . Seller Inventory # 3072810845
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Pricing Analytics (Paperback)
Published by
Taylor & Francis Ltd, London, 2026
ISBN 10: 1041198108
ISBN 13: 9781041198109
New
Paperback
Seller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. 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. Seller Inventory # 9781041198109
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Pricing Analytics : Models and Advanced Quantitative Techniques for Product Pricing
Published by
Taylor & Francis Ltd Okt 2026, 2026
ISBN 10: 1041198108
ISBN 13: 9781041198109
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Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. Neuware - 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. Seller Inventory # 9781041198109