Statistical Methods in e-Commerce Research

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.

這本開創性的書籍介紹了統計方法在電子商務數據中的應用。

隨著科技在當今經濟市場中的日益普及，使用互聯網進行購買、銷售和投資的方式越來越受歡迎且公開。《統計方法在電子商務研究中的應用》是第一本專注於統計模型和方法的書籍，這些方法對於分析電子商務交易信息、識別新的電子商務數據結構所帶來的挑戰以及發現有關消費者活動的新知識至關重要。

這本書匯集了來自統計學、計算機科學、信息系統和市場營銷等領域的三十多位研究人員和從業者，討論了統計方法在電子商務研究中的日益普及。從隱私保護到經濟影響，本書首先確定了在收集、清理、探索和分析電子商務數據時遇到的許多障礙。然後，使用已建立和新開發的統計和數據挖掘方法提出了解決這些問題的解決方案。最後，通過深入討論進行電子商務研究的新興方法，展望了這一不斷發展的研究領域的未來。

《統計方法在電子商務研究中的應用》成功地彌合了統計學和電子商務之間的差距，介紹了一種統計方法來解決在線交易背景下出現的挑戰，同時介紹了各種電子商務應用和問題，需要新穎的統計方法。這是一本理想的高年級本科和研究生電子商務課程教材，也是經濟學、市場營銷和信息系統等各個學科領域的研究人員和分析師的寶貴參考資料，他們希望更深入地了解統計在他們的工作中的應用。