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A Guide to Pricing Techniques and Yield Management.
Over the beyond 4 decades, enterprise and educational economists, operations researchers, advertising scientists, and consulting companies have elevated their hobby and studies on pricing and sales control. This ee-e book tries to introduce the reader to a huge type of their studies outcomes on pricing strategies in a unified, systematic manner and at various tiers of difficulty.
Review
“This ee-e book offers a really precious creation to ‘the artwork of pricing’. The electricity of the ee-e book lies in its really appropriate desire of the subjects to be protected and accessibility to a huge variety of audiences from superior undergraduates to practitioners who may also have confined technical knowledge.
“Oz Shy has all over again succeeded in presenting an modern and lucid exposition of a longstanding issue: the way to price. The final results is a cleverly supplied toolkit for know-how yield control and pricing strategies.
“A precious ee-e book for each college students and practitioners — it is going to be a key reference for every person running withinside the field. The creator is an professional who himself has made critical contributions to business organization.” – Paul Klemperer, Oxford University.
“How to Price is a coherent and straight-to-factor creation to the kingdom of the artwork of strategic pricing. This ee-e book is specifically appropriate for master’s degree college students in economics in addition to managers accountable for pricing decisions. At the centered degree the ee-e book is the primary in its kind.” – Staffan Ringbom, Swedish School of Economics and Business Administration, Helsinki, and HECER.
“Oz Shy’s ee-e book gives an up-to-date, economically sophisticated, and enormously sensible manual to pricing. Better pricing results in higher profits.” – Hal Varian, University of California, Berkeley.
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Trading foreign exchange, cryptocurrencies, and algorithmic assets on margin carries a high level of risk and may not be suitable for all investors. Past performance of any trading system or quantitative blueprint does not guarantee future results.<br><br><b>Asset Classification:</b>

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