Statistical Methods In E Commerce Research by Wolfgang Jank
A practical overview of statistical techniques for analyzing e-commerce data, focusing on the unique challenges of large-scale, dynamic, and noisy digital environments. It covers methods for modeling consumer behavior, online auctions, clickstream paths, recommendation systems, pricing, and advertising, with emphasis on experimental design and A/B testing, regression and time series analysis, Bayesian and hierarchical models, survival and choice modeling, and text and network analytics. Real-world case studies illustrate data collection, preprocessing, and interpretation, offering guidance for turning complex web data into actionable insights for research and decision-making.
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