- Hardcover: 344 pages
- Publisher: Wiley; 1 edition (July 13, 2010)
- Language: English
- ISBN-10: 047047565X
- ISBN-13: 978-0470475652
- Product Dimensions: 6.4 x 0.9 x 9.6 inches
- Shipping Weight: 1.4 pounds (View shipping rates and policies)
- Average Customer Review: Be the first to review this item
- Amazon Best Sellers Rank: #4,498,740 in Books (See Top 100 in Books)
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Modeling Online Auctions 1st Edition
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"Modeling online auctions is a valuable book for graduate-level courses on data mining and applied regression analysis." (Mathematical Reviews, 2011)
"The referred volume offers a detailed survey of methods and run of online auctions by means of detailed analysis of empirical and statistical data . . . the volume is completed by a rich bibliography and index." (Zentralblatt Math, 2010)
"Modeling Online Auctions is a valuable book for graduate-level courses on data mining and applied regression analysis. It is also a one-of-a-kind reference for researchers in the fields of statistics, information systems, business, and marketing who work with electronic data and are looking for new approaches for understanding online auctions and processes". (Dublin Business Wire, 27 October 2010)
From the Back Cover
Explore cutting-edge statistical methodologies for collecting,analyzing, and modeling online auction data
Online auctions are an increasingly important marketplace, asthe new mechanisms and formats underlying these auctions haveenabled the capturing and recording of large amounts of biddingdata that are used to make important business decisions. As aresult, new statistical ideas and innovation are needed tounderstand bidders, sellers, and prices. Combining methodologiesfrom the fields of statistics, data mining, information systems,and economics, Modeling Online Auctions introduces a newapproach to identifying obstacles and asking new questions usingonline auction data.
The authors draw upon their extensive experience to introducethe latest methods for extracting new knowledge from online auctiondata. Rather than approach the topic from the traditionalgame-theoretic perspective, the book treats the online auctionmechanism as a data generator, outlining methods to collect,explore, model, and forecast data. Topics covered include:
Data collection methods for online auctions and related issuesthat arise in drawing data samples from a Web site
Models for bidder and bid arrivals, treating the differentapproaches for exploring bidder-seller networks
Data exploration, such as integration of time series andcross-sectional information; curve clustering; semi-continuous datastructures; and data hierarchies
The use of functional regression as well as functionaldifferential equation models, spatial models, and stochastic modelsfor capturing relationships in auction data
Specialized methods and models for forecasting auction pricesand their applications in automated bidding decision rulesystems
Throughout the book, R and MATLAB® software are used forillustrating the discussed techniques. In addition, a related Website features many of the book's datasets and R and MATLAB®code that allow readers to replicate the analyses and learn newmethods to apply to their own research.
Modeling Online Auctions is a valuable book forgraduate-level courses on data mining and applied regressionanalysis. It is also a one-of-a-kind reference for researchers inthe fields of statistics, information systems, business, andmarketing who work with electronic data and are looking for newapproaches for understanding online auctions and processes.
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