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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
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