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Statistical Methods In E-Commerce Research.

Statistical Methods In E-Commerce Research.

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  • ISBN:9780470120125
  • Editorial: Wiley & Sons Ltd.
  • Fecha de la edición:
  • Encuadernación:Tapa dura
  • Dimensiones: 0 cm x 0 cm
  • Nº Pág.:448
  • Idiomas:Ingles

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This book bridges the gap between researchers in statistics and e-commerce, exposing both communities to the opportunities in this evolving area. "Statistical Methods in eCommerce Research" enables statisticians to better understand the challenges of empirical e-commerce research and to develop new methods for their analyses. It also allows e-commerce researchers to see the statistical challenges, the usefulness of new statistical methods, and how statistical thinking is applied.

Preface.Acknowledgements.SECTION I: OVERVIEW OF ECOMMERCE RESEARCH CHALLENGES.1. Statistical Challenges In Internet Advertising (Deepak Agarwal).2. How Has Ecommerce Research Advanced Our Understanding Of The Offline World (Chris Forman and Avi Goldfarb)?3. The Economic Impact of User-Generated and Firm-Published Online Content: Directions for Advancing the Frontiers in Electronic Commerce Research (Anindya Ghose).4. Is Privacy Protection For Data In An Ecommerce World An Oxymoron (Stephen E. Fienberg)?5. Shared Knowledge Systems With Value: Statistical Aspects Of Wikipedia (Rob Warren, Edo Eiroldi and David Banks).SECTION II: ECOMMERCE APPLICATIONS.6. Bidder Networks And Price Dynamics In Online Auctions (Mayukh Dass and Srinivas Reddy).7. Modeling Web Usability Diagnostics Based On Usage Statistics (Avi Harel, Ron S Kenett and Fabrizio Ruggeri).8. Developing Rich Insights On Public Internet Firm Entry And Exit Based On Survival Analysis And Data Visualization (Robert J Kauffman and Bin Wang).9. Modeling Time-Varying Relationships In Pooled Cross-Sectional Ecommerce Data (Eric Overby and Benn Konsynski).10. Optimization Of Search Engine Marketing Bidding Strategies Using Statistical Techniques (Alon Matas and Yoni Schamroth).SECTION III: NEW METHODS FOR ECOMMERCE DATA.11. Clustering Data With Measurement Error (Mahesh Kumar and Nitin R Patel).12. Functional Data Analysis For Sparse Auction Data (Bitao Liu and Hans-Georg Muller).13. A Family Of Growth Models For Representing The Price Process In Online Auctions (Valerie Hyde, Wolfgang Jank and Galit Shmueli).14. Models Of Bidder Activity Consistent With Self-Similar Bid Arrivals (Ralph P Russo, Galit Shmueli and N D Shyamalkumar).15. Spatial Models For Online Mortgage Leads (Wolfgang Jank (and PK Kannan).16. Modeling Price Dynamics In Online Auctions Via Regression Trees (Wolfgang Jank, Galit Shmueli and Shanshan Wang).17. Quantile Modeling For Wallet Estimation (Claudia Perlich and Saharon Rosset).18. Applications Of Randomized Response Methodology In Ecommerce (Peter GM Van Der Heijden and Ulf Bockenholt).

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