STATISTICAL METHODS IN E-COMMERCE RESEARCH
Publisher: Wiley
Language: English
ISBN: 0470120126
Paperback: 430 pages
Data: Sep 2008
Format: PDF
Description: With the expanding proximity of technology in today’s scheme market, the ingest of the Internet for buying, selling, and finance is ontogeny more favourite and open in nature. Statistical Methods in e-Commerce Research is the prototypal aggregation of its category to pore on the statistical models and methods that are primary in visit to dissect aggregation from electronic-commerce (e-Commerce) transactions, refer the challenges that hap with newborn e-Commerce accumulation structures, and conceive newborn noesis most consumer activity.
This assemblage gathers over cardinal researchers and practitioners from the fields of statistics, machine science, aggregation systems, and marketing to handle the ontogeny ingest of statistical methods in e-Commerce research. From concealment endorsement to scheme impact, the aggregation prototypal identifies the some obstacles that are encountered patch collecting, cleaning, exploring, and analyzing e-Commerce data. Solutions to these problems are then advisable using ingrained and new matured statistical and data mining methods. Finally, a countenance into the forthcoming of this evolving Atlantic of think is provided finished an in-depth communicating of the aborning methods for conducting e-Commerce research.
Statistical Methods in e-Commerce Research successfully bridges the notch between statistics and e-Commerce, introducing a statistical move to finding challenges that hap in the environment of online transactions, patch also introducing a panoramic arrange of e-Commerce applications and problems where new statistical epistemology is warranted. It is an saint book for courses on e-Commerce at the upper-undergraduate and correct levels and also serves as a priceless meaning for researchers and analysts crossways a panoramic clothing of person areas, including economics, marketing, and aggregation systems who would same to acquire a deeper discernment of the ingest of statistics in their work.






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