Statistical Methods in e-Commerce Research (eBook)

Wolfgang Jank, PhD, is Associate Professor in the Department of Decision, Operations & Information Technologies at the Robert H. Smith School of Business, the University of Maryland. He has authored or coauthored over fifty refereed articles in his areas of research interest, which include stochastic optimization and Monte Carlo methods; nonparametric statistics and functional data analysis; and the application of statistical problem-solving to electronic commerce, marketing, aviation, and operations management. Galit Shmueli, PhD, is Associate Professor and Director of the eMarkets Research Laboratory in the Department of Decision, Operations & Information Technologies at the Robert H. Smith School of Business, the University of Maryland. She has authored or coauthored over fifty refereed articles in her main area of research: the development and adoption of statistical methods to nonstandard data with applications to the fields of electronic commerce and biosurveillance. Dr. Shmueli is the coauthor of Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel® with XLMiner®, also published by Wiley.

Preface.

Acknowledgements.

Contributor List.

Section I: Overview of E-Commerce Research
Challenges.

1. Statistical Challenges in Internet Advertising (Deepak
Agarwal).

2. How Has E-Commerce Research Advanced Understanding of the
Offline World (Chris Forman and Avi Goldfarb)?

3. The Economic Impact of User-Generated and Firm-Generated
Online Content: Directions for Advancing the Frontiers in
Electronic Commerce Research (Anindya Ghose).

4. Is Privacy Protection for Data in an E-Commerce World an
Oxymoron (Stephen E. Fienberg)?

5. Network Analysis of Wikipedia (Robert H. Warren, Edoardo M.
Airoldi, and David L. Banks).

Section II: E-Commerce Applications.

6. An Analysis of Price Dynamics, Bidder Networks, and Market
Structure in Online Art Auctions (Mayukh Dass and Srinivas K.
Reddy).

7. Modeling Web Usability Diagnostics on the Basis of 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 Coefficients in Pooled Cross-Sectional
E-Commerce Data: An Introduction (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 E-Commerce Data.

11. Clustering Data with Measurement Errors (Mahesh Kumar and
Nitin R. Patel).

12. Functional Data Analysis for Sparse Auction Data (Bitao Liu
and Hans-Georg Müller).

13. A Family of Growth Models for Representing the Price Process
in Online Auctions (Valerie Hyde, Galit Shmueli, and Wolfgang
Jank).

14. Models of Bidder Activity Consistent with Self-Similar Bid
Arrivals (Ralph P. Russo, Galit Shmueli, and Nariankadu D.
Shyamalkumar).

15. Dynamic Spatial Models for Online Markets (Wolfgang Jank and
P.K. Kannan).

16. Differential Equation Trees to Model Price Dynamics in
Online Auctions (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
E-Commerce (Peter G.M. van der Heijden and Ulf
Böckenholt).

Index.