Wiley Statistical Methods in e-Commerce Research.pdf

STATISTICAL METHODS

IN E-COMMERCE

RESEARCH

WOLFGANG JANK AND GALIT SHMUELI

Department of Decision, Operations and Information Technologies, R.H. Smith

School of Business, University of Maryland, College Park, Maryland

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Library of Congress Cataloging-in-Publication Data:

Jank, Wolfgang, 1970-

Statistical methods in ecommerce research/Wolfgang Jank, Galit Shmueli.

p. cm. -- (Statistics in practice)

Includes bibliographical references and index.

ISBN 978-0-470-12012-5 (cloth)

Electronic commerce -- Statistical methods.

Shmueli, Galit, 1971- II. Title.

HF5548.32.J368 2008

381 0 .142015195--dc22

2007050394

Printed in the United States of America

0987654321

CONTENTS

PREFACE

ACKNOWLEDGMENTS

xiii

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

CONTENTS

5. Network Analysis of Wikipedia

Robert H. Warren, Edoardo M. Airoldi, and David L. Banks

SECTION II

E-COMMERCE APPLICATIONS

103

6. An Analysis of Price Dynamics, Bidder Networks, and

Market Structure in Online Art Auctions

105

Mayukh Dass and Srinivas K. Reddy

7. Modeling Web Usability Diagnostics on the Basis of

Usage Statistics

131

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

173

Robert J. Kauffman and Bin Wang

9. Modeling Time-Varying Coefﬁcients in Pooled Cross-Sectional

E-Commerce Data: An Introduction

203

Eric Overby and Benn Konsynski

10. Optimization of Search Engine Marketing Bidding

Strategies Using Statistical Techniques

225

Alon Matas and Yoni Schamroth

SECTION III

NEW METHODS FOR E-COMMERCE DATA

243

11. Clustering Data with Measurement Errors

245

Mahesh Kumar and Nitin R. Patel

12. Functional Data Analysis for Sparse Auction Data

269

Bitao Liu and Hans-Georg M ¨ ller

13. A Family of Growth Models for Representing the Price

Process in Online Auctions

291

Valerie Hyde, Galit Shmueli, and Wolfgang Jank

vii

CONTENTS

14. Models of Bidder Activity Consistent with Self-Similar

Bid Arrivals

325

Ralph P. Russo, Galit Shmueli, and Nariankadu D. Shyamalkumar

15. Dynamic Spatial Models for Online Markets

341

Wolfgang Jank and P.K. Kannan

16. Differential Equation Trees to Model Price Dynamics in

Online Auctions

363

Wolfgang Jank, Galit Shmueli, and Shanshan Wang

17. Quantile Modeling for Wallet Estimation

383

Claudia Perlich and Saharon Rosset

18. Applications of Randomized Response Methodology

in E-Commerce

401

Peter G.M. van der Heijden and Ulf B ¨ ckenholt

INDEX

417

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