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Statistical Methods in e-Commerce Research

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ISBN-10: 0470120126

ISBN-13: 9780470120125

Edition: 2008

Authors: Wolfgang Jank, Galit Shmueli

List price: $155.95
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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 and Opportunities 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.
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Book details

List price: $155.95
Copyright year: 2008
Publisher: John Wiley & Sons, Incorporated
Publication date: 9/29/2008
Binding: Hardcover
Pages: 448
Size: 6.40" wide x 9.50" long x 1.00" tall
Weight: 1.650
Language: English

Mike Adams, a former PGA touring professional, is the Director of the PGA's National Academy of Golf at Palm Beach, Florida. Known throughout the world as the "Swing Doctor" Adams has a keen eye for detecting swing flaws & an impressive track record for correcting them. Adams is one of the country's most sought-after golf teachers, teaching more than 3,000 individual lessons each year.Wolfgang Jank is Associate Professor in the Department of Decisions, Operations & Information Technologies and Director, Center for Complexity in Business, at the Smith School of Business, University of Maryland. He is interested in using ideas from statistics and data mining to solve problems in marketing,…    

Contributor List
Overview of E-Commerce Research Challenges
Statistical Challenges in Internet Advertising
How Has E-Commerce Research Advanced Understanding of the Offline World?
The Economic Impact of User-Generated and Firm-Generated Online Content: Directions for Advancing the Frontiers in Electronic Commerce Research
Is Privacy Protection for Data in an E-Commerce World an Oxymoron?
Network Analysis of Wikipedia
E-Commerce Applications
An Analysis of Price Dynamics, Bidder Networks, and Market Structure in Online Art Auctions
Modeling Web Usability Diagnostics on the Basis of Usage Statistics
Developing Rich Insights on Public Internet Firm Entry and Exit Based on Survival Analysis and Data Visualization
Modeling Time-Varying Coefficients in Pooled Cross-Sectional E-Commerce Data: An Introduction
Optimization of Search Engine Marketing Bidding Strategies Using Statistical Techniques
New Methods for E-Commerce Data
Clustering Data with Measurement Errors
Functional Data Analysis for Sparse Auction Data
A Family of Growth Models for Representing the Price Process in Online Auctions
Models of Bidder Activity Consistent with Self-Similar Bid Arrivals
Dynamic Spatial Models for Online Markets
Differential Equation Trees to Model Price Dynamics in Online Auctions
Quantile Modeling for Wallet Estimation
Applications of Randomized Response Methodology in E-Commerce