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Statistical Methods in e-Commerce Research

Overview of attention for book
Statistical Methods in e-Commerce Research
Wiley

Table of Contents

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    Book Overview
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    Chapter 1 Statistical Challenges in Internet Advertising
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    Chapter 2 How has e‐Commerce Research Advanced Understanding of the Offline World?
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    Chapter 3 The Economic Impact of User‐Generated and Firm‐Generated Online Content: Directions for Advancing the Frontiers in Electronic Commerce Research
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    Chapter 4 Is Privacy Protection for Data in an e-Commerce World an Oxymoron?
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    Chapter 5 Network Analysis of Wikipedia
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    Chapter 6 An Analysis of Price Dynamics, Bidder Networks, and Market Structure in Online Art Auctions
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    Chapter 7 Modeling Web Usability Diagnostics on the Basis of Usage Statistics
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    Chapter 8 Developing Rich Insights on Public Internet Firm Entry and Exit Based on Survival Analysis and Data Visualization
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    Chapter 9 Modeling Time‐Varying Coefficients in Pooled Cross‐Sectional e‐Commerce Data: An Introduction
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    Chapter 10 Optimization of Search Engine Marketing Bidding Strategies Using Statistical Techniques
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    Chapter 11 Clustering Data with Measurement Errors
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    Chapter 12 Functional Data Analysis for Sparse Auction Data
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    Chapter 13 A Family of Growth Models for Representing the Price Process in Online Auctions
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    Chapter 14 Models of Bidder Activity Consistent with Self‐Similar Bid Arrivals
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    Chapter 15 Dynamic Spatial Models for Online Markets
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    Chapter 16 Differential Equation Trees to Model Price Dynamics in Online Auctions
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    Chapter 17 Quantile Modeling for Wallet Estimation
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    Chapter 18 Applications of Randomized Response Methodology in e‐Commerce
Overall attention for this book and its chapters
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Article details
Title
Statistical Methods in e-Commerce Research
Published by
Wiley, January 2008
DOI 10.1002/9780470315262
ISBNs
978-0-470-31526-2, 978-0-470-12012-5
Editors

Wolfgang Jank, Galit Shmueli

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Romania 1 2%
Germany 1 2%
Unknown 46 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 11 23%
Student > Master 5 10%
Researcher 5 10%
Lecturer 3 6%
Professor 3 6%
Other 9 19%
Unknown 12 25%
Readers by discipline
Readers by discipline Count As %
Business, Management and Accounting 8 17%
Computer Science 7 15%
Economics, Econometrics and Finance 7 15%
Social Sciences 5 10%
Engineering 4 8%
Other 5 10%
Unknown 12 25%