Jank / Shmueli Statistical Methods in e-Commerce Research

1. Auflage 2009
ISBN: 978-0-470-32318-2
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 448 Seiten, E-Book

Reihe: Statistics in Practice

This groundbreaking book introduces the application of statisticalmethodologies to e-Commerce data
With the expanding presence of technology in today's economicmarket, the use of the Internet for buying, selling, and investingis growing more popular and public in nature. Statistical Methodsin e-Commerce Research is the first book of its kind to focus onthe statistical models and methods that are essential in order toanalyze information from electronic-commerce (e-Commerce)transactions, identify the challenges that arise with newe-Commerce data structures, and discover new knowledge aboutconsumer activity.
This collection gathers over thirty researchers and practitionersfrom the fields of statistics, computer science, informationsystems, and marketing to discuss the growing use of statisticalmethods in e-Commerce research. From privacy protection to economicimpact, the book first identifies the many obstacles that areencountered while collecting, cleaning, exploring, and analyzinge-Commerce data. Solutions to these problems are then suggestedusing established and newly developed statistical and data miningmethods. Finally, a look into the future of this evolving area ofstudy is provided through an in-depth discussion of the emergingmethods for conducting e-Commerce research.
Statistical Methods in e-Commerce Research successfully bridges thegap between statistics and e-Commerce, introducing a statisticalapproach to solving challenges that arise in the context of onlinetransactions, while also introducing a wide range of e-Commerceapplications and problems where novel statistical methodology iswarranted. It is an ideal text for courses on e-Commerce at theupper-undergraduate and graduate levels and also serves as avaluable reference for researchers and analysts across a wide arrayof subject areas, including economics, marketing, and informationsystems who would like to gain a deeper understanding of the use ofstatistics in their work.

Autoren/Hrsg.

Jank, Wolfgang

Shmueli, Galit

Inhaltsverzeichnis

Preface.
Acknowledgements.
Contributor List.
Section I: Overview of E-Commerce ResearchChallenges.
1. Statistical Challenges in Internet Advertising (DeepakAgarwal).
2. How Has E-Commerce Research Advanced Understanding of theOffline World (Chris Forman and Avi Goldfarb)?
3. The Economic Impact of User-Generated and Firm-GeneratedOnline Content: Directions for Advancing the Frontiers inElectronic Commerce Research (Anindya Ghose).
4. Is Privacy Protection for Data in an E-Commerce World anOxymoron (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 MarketStructure in Online Art Auctions (Mayukh Dass and Srinivas K.Reddy).
7. Modeling Web Usability Diagnostics on the Basis of UsageStatistics (Avi Harel, Ron S. Kenett, and Fabrizio Ruggeri).
8. Developing Rich Insights on Public Internet Firm Entry andExit Based on Survival Analysis and Data Visualization (Robert J.Kauffman and Bin Wang).
9. Modeling Time-Varying Coefficients in Pooled Cross-SectionalE-Commerce Data: An Introduction (Eric Overby and BennKonsynski).
10. Optimization of Search Engine Marketing Bidding StrategiesUsing Statistical Techniques (Alon Matas and Yoni Schamroth).
Section III: New Methods For E-Commerce Data.
11. Clustering Data with Measurement Errors (Mahesh Kumar andNitin R. Patel).
12. Functional Data Analysis for Sparse Auction Data (Bitao Liuand Hans-Georg Müller).
13. A Family of Growth Models for Representing the Price Processin Online Auctions (Valerie Hyde, Galit Shmueli, and WolfgangJank).
14. Models of Bidder Activity Consistent with Self-Similar BidArrivals (Ralph P. Russo, Galit Shmueli, and Nariankadu D.Shyamalkumar).
15. Dynamic Spatial Models for Online Markets (Wolfgang Jank andP.K. Kannan).
16. Differential Equation Trees to Model Price Dynamics inOnline Auctions (Wolfgang Jank, Galit Shmueli, and ShanshanWang).
17. Quantile Modeling for Wallet Estimation (Claudia Perlich andSaharon Rosset).
18. Applications of Randomized Response Methodology inE-Commerce (Peter G.M. van der Heijden and UlfBöckenholt).
Index.

Über Autor(innen)

Wolfgang Jank, PhD, is Associate Professor in the Departmentof Decision, Operations & Information Technologies at theRobert H. Smith School of Business, the University of Maryland. Hehas authored or coauthored over fifty refereed articles in hisareas of research interest, which include stochastic optimizationand Monte Carlo methods; nonparametric statistics and functionaldata analysis; and the application of statistical problem-solvingto electronic commerce, marketing, aviation, and operationsmanagement.
Galit Shmueli, PhD, is Associate Professor and Directorof the eMarkets Research Laboratory in the Department of Decision,Operations & Information Technologies at the Robert H. SmithSchool of Business, the University of Maryland. She has authored orcoauthored over fifty refereed articles in her main area ofresearch: the development and adoption of statistical methods tononstandard data with applications to the fields of electroniccommerce and biosurveillance. Dr. Shmueli is the coauthor ofData Mining for Business Intelligence: Concepts, Techniques, andApplications in Microsoft Office Excel® withXLMiner®, also published by Wiley.