Statistical Methods in e-Commerce Research
Aus der Reihe
Statistics in Practice
122,99 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
07.01.2009
Verlag
SybexSeitenzahl
512 (Printausgabe)
Dateigröße
10483 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9780470323182
This groundbreaking book introduces the application of statistical
methodologies to e-Commerce data
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.
methodologies to e-Commerce data
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.
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