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Modeling Online Auctions de W Jank

Modeling Online Auctions: Statistics in Practice

Autor W Jank
en Limba Engleză Hardback – 19 aug 2010
* Introduces rich data sources and discusses new data challenges to the increasing interest in online auctions. * There are applications to a wide variety of statistical methods, as well as models to new domain areas. * Heavy emphasis is placed on a need for interdisciplinary collaboration.
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Specificații

ISBN-13: 9780470475652
ISBN-10: 047047565X
Pagini: 336
Dimensiuni: 165 x 241 x 24 mm
Greutate: 0.62 kg
Ediția:New.
Editura: Wiley
Seria Statistics in Practice

Locul publicării:Hoboken, United States

Public țintă

Academic researchers from the areas of statistics, data mining, information systems, economics, and marketing; instructors (and students) of PhD classes and advanced seminars in applied regression analysis or quantitative eCommerce research; researchers from industry research labs and centers; libraries.

Notă biografică

WOLFGANG JANK, PhD, 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 Statistical Methods in e-Commerce Research (Wiley). GALIT SHMUELI, PhD, 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 Statistical Methods in e-Commerce Research and Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel(r) with XLMiner(r), Second Edition, both published by Wiley.