Explore cutting-edge statistical methodologies for collecting,
analyzing, and modeling online auction data
Online 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.
The 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: Data
collection methods for online auctions and related issues that
arise in drawing data samples from a Web siteModels for bidder and
bid arrivals, treating the different approaches for exploring
bidder-seller networksData exploration, such as integration of time
series and cross-sectional information; curve clustering;
semi-continuous data structures; and data hierarchiesThe use of
functional regression as well as functional differential equation
models, spatial models, and stochastic models for capturing
relationships in auction dataSpecialized methods and models for
forecasting auction prices and their applications in automated
bidding decision rule systems
Throughout 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.
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.
Visit this book's companion website by clicking here
General
Imprint: |
John Wiley & Sons
|
Country of origin: |
United States |
Release date: |
August 2010 |
First published: |
2010 |
Authors: |
W Jank
|
Dimensions: |
241 x 165 x 24mm (L x W x T) |
Format: |
Hardcover - Cloth over boards
|
Pages: |
336 |
Edition: |
New |
ISBN-13: |
978-0-470-47565-2 |
Categories: |
Books >
Science & Mathematics >
Mathematics >
General
|
LSN: |
0-470-47565-X |
Barcode: |
9780470475652 |
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