{"product_id":"9780470475652","title":"Modeling Online Auctions","description":"\u003ch3\u003eStatistics in Practice\u003c\/h3\u003e\u003ch1\u003eModeling Online Auctions\u003c\/h1\u003e\u003ch3\u003eWolfgang Jank | Galit Shmueli\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Probability \u0026amp; Statistics \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cb\u003eExplore cutting-edge statistical methodologies for collecting, analyzing, and modeling online auction data\u003c\/b\u003e \u003cp\u003eOnline auctions are an increasingly important marketplace, as the new mechanisms and formats underlying these auctions have enabled the capturing and recording of large amounts of bidding data that are used to make important business decisions. As a result, new statistical ideas and innovation are needed to understand bidders, sellers, and prices. Combining methodologies from the fields of statistics, data mining, information systems, and economics, Modeling Online Auctions introduces a new approach to identifying obstacles and asking new questions using online auction data.\u003c\/p\u003e \u003cp\u003eThe authors draw upon their extensive experience to introduce the latest methods for extracting new knowledge from online auction data. Rather than approach the topic from the traditional game-theoretic perspective, the book treats the online auction mechanism as a data generator, outlining methods to collect, explore, model, and forecast data. Topics covered include:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eData collection methods for online auctions and related issues that arise in drawing data samples from a Web site\u003c\/li\u003e \u003cli\u003eModels for bidder and bid arrivals, treating the different approaches for exploring bidder-seller networks\u003c\/li\u003e \u003cli\u003eData exploration, such as integration of time series and cross-sectional information; curve clustering; semi-continuous data structures; and data hierarchies\u003c\/li\u003e \u003cli\u003eThe use of functional regression as well as functional differential equation models, spatial models, and stochastic models for capturing relationships in auction data\u003c\/li\u003e \u003cli\u003eSpecialized methods and models for forecasting auction prices and their applications in automated bidding decision rule systems\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThroughout the book, R and MATLAB software are used for illustrating the discussed techniques. In addition, a related Web site features many of the book's datasets and R and MATLAB code that allow readers to replicate the analyses and learn new methods to apply to their own research.\u003c\/p\u003e \u003cp\u003eModeling 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.\u003c\/p\u003e \u003cp\u003eVisit this book's companion website at http:\/\/modelingonlineauctions.com\/\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e  \u003cb\u003eWOLFGANG JANK, PhD\u003c\/b\u003e, is Associate Professor of Management Science and Statistics in the Robert H. Smith School of Business at the University of Maryland, where he is also Director of the Center for Complexity in Business. He has published over seventy articles on statistics and data mining in electronic commerce, marketing, information systems, and operations management. Dr. Jank is the coauthor of \u003ci\u003eStatistical Methods in e-Commerce Research\u003c\/i\u003e (Wiley).  \u003cp\u003e\u003cb\u003eGALIT SHMUELI, PhD,\u003c\/b\u003e is Associate Professor of Statistics and Director of the eMarkets Research Lab in the Robert H. Smith School of Business at the University of Maryland. Her research focuses on statistical strategy and data mining methods for scientific research and real-world applications. Dr. Shmueli has published over sixty journal articles on statistical and data mining methods related to online auctions and biosurveillance. She is the coauthor of \u003ci\u003eStatistical Methods in e-Commerce Research\u003c\/i\u003e and \u003ci\u003eData Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel® with XLMiner®, Second Edition,\u003c\/i\u003e both published by Wiley.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e13 July 2010\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9780470475652\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e344\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e21.76\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44377974145164,"sku":"9780470475652","price":142.16,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780470475652.jpg?v=1780175010","url":"https:\/\/lateknightbooks.com\/products\/9780470475652","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}