Jank W., Shmueli G. (eds.) Statistical Methods in E-commerce Research

Wiley, 2008. — 429 p. ISBN: 978-0-470-12012-5Electronic commerce (e-commerce) is part of our everyday lives. Whether we purchase a book on Amazon, sell a DVD on eBay.com, or click on a sponsored link on Google.com, e-commerce surrounds us. E-commerce also produces a large amount of data: When we click, bid, rate, or pay, our digital footprints are recorded and stored. Yet, despite this abundance of available data, the field of statistics has, at least to date, played a rather minor role in contributing to the development of methods for empirical research related to e-commerce. The goal of this book is to change that situation by highlighting the many statistical challenges that e-commerce data pose, by describing some of the methods currently being used and developed, and by engaging researchers in this exciting interdisciplinary area. The chapters are written by researchers and practitioners from the fields of statistics, data mining, computer science, information systems, and marketing.Overview of E-commerce Research Challenges
Statistical Challenges in Internet Advertising (Deepak Agarwal)
How Has E-Commerce Research Advanced Understanding of the Offline World? (Chris Forman and Avi Goldfarb)
The Economic Impact of User-Generated and Firm-Generated Online Content: Directions for Advancing the Frontiers in Electronic Commerce Research (Anindya Ghose)
Is Privacy Protection for Data in an E-Commerce World an Oxymoron? (Stephen E. Fienberg)
Network Analysis of Wikipedia (Robert H. Warren, Edoardo M. Airoldi, and David L. Banks)
E-commerce Applications
An Analysis of Price Dynamics, Bidder Networks, and Market Structure in Online Art Auctions (Mayukh Dass and Srinivas K. Reddy)
Modeling Web Usability Diagnostics on the Basis of Usage Statistics (Avi Harel, Ron S. Kenett, and Fabrizio Ruggeri)
Developing Rich Insights on Public Internet Firm Entry and Exit Based on Survival Analysis and Data Visualization (Robert J. Kauffman and Bin Wang)
Modeling Time-Varying Coefficients in Pooled Cross-Sectional E-Commerce Data: An Introduction (Eric Overby and Benn Konsynski)
Optimization of Search Engine Marketing Bidding Strategies Using Statistical Techniques (Alon Matas and Yoni Schamroth)
New Methods For E-commerce Data
Clustering Data with Measurement Errors (Mahesh Kumar and Nitin R. Patel)
Functional Data Analysis for Sparse Auction Data (Bitao Liu and Hans-Georg Muller)
A Family of Growth Models for Representing the Price Process in Online Auctions (Valerie Hyde, Galit Shmueli, and Wolfgang Jank)
Models of Bidder Activity Consistent with Self-Similar Bid Arrivals (Ralph P. Russo, Galit Shmueli, and Nariankadu D. Shyamalkumar)
Dynamic Spatial Models for Online Markets (Wolfgang Jank and P.K. Kannan)
Differential Equation Trees to Model Price Dynamics in Online Auctions (Wolfgang Jank, Galit Shmueli, and Shanshan Wang)
Quantile Modeling for Wallet Estimation (Claudia Perlich and Saharon Rosset)
Applications of Randomized Response Methodology in E-Commerce (Peter G.M. van der Heijden and Ulf Bockenholt)