Statistical Methods in eCommerce Research
Language: English
Published by John Wiley and Sons Ltd, 2008
- First Edition
- Hardcover
- New
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
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Condition: New
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Add to basketItem description from seller
This book bridges the gap between researchers in statistics and e-commerce, exposing both communities to the opportunities in this evolving area. Statistical Methods in eCommerce Research enables statisticians to better understand the challenges of empirical e-commerce research and to develop new methods for their analyses. Series: Statistics in Practice. Num Pages: 430 pages, Illustrations. BIC Classification: KJE; PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 241 x 164 x 23. Weight in Grams: 746. . 2008. 1st Edition. Hardcover. . . . .
Seller Inventory # V9780470120125
- Title
- Statistical Methods in eCommerce Research
- Author
- Wolfgang Jank
- Publisher
- John Wiley and Sons Ltd
- Publication year
- 2008
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0470120126
- ISBN 13
- 9780470120125
- Edition
- 1st Edition
With the expanding presence of technology in today's economic market, the use of the Internet for buying, selling, and investing is growing more popular and public in nature. Statistical Methods in e-Commerce Research is the first book of its kind to focus on the statistical models and methods that are essential in order to analyze information from electronic-commerce (e-Commerce) transactions, identify the challenges that arise with new e-Commerce data structures, and discover new knowledge about consumer activity.
This collection gathers over thirty researchers and practitioners from the fields of statistics, computer science, information systems, and marketing to discuss the growing use of statistical methods in e-Commerce research. From privacy protection to economic impact, the book first identifies the many obstacles that are encountered while collecting, cleaning, exploring, and analyzing e-Commerce data. Solutions to these problems are then suggested using established and newly developed statistical and data mining methods. Finally, a look into the future of this evolving area of study is provided through an in-depth discussion of the emerging methods for conducting e-Commerce research.
Statistical Methods in e-Commerce Research successfully bridges the gap between statistics and e-Commerce, introducing a statistical approach to solving challenges that arise in the context of online transactions, while also introducing a wide range of e-Commerce applications and problems where novel statistical methodology is warranted. It is an ideal text for courses on e-Commerce at the upper-undergraduate and graduate levels and also serves as a valuable reference for researchers and analysts across a wide array of subject areas, including economics, marketing, and information systems who would like to gain a deeper understanding of the use of statistics in their work.
"Synopsis" may belong to another edition of this title.
About the Author
Galit Shmueli, PhD, is Associate Professor and Director of the eMarkets Research Laboratory in the Department of Decision, Operations & Information Technologies at the Robert H. Smith School of Business, the University of Maryland. She has authored or coauthored over fifty refereed articles in her main area of research: the development and adoption of statistical methods to nonstandard data with applications to the fields of electronic commerce and biosurveillance. Dr. Shmueli is the coauthor of Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel® with XLMiner®, also published by Wiley.
"About the title" may belong to another edition of this title.
Kennys Bookshop and Art Galleries Ltd.
Galway, GY, Ireland
AbeBooks seller since February 27, 2001
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