网上拍卖中竞买者出价数据的特征及分析方法研究  

Investigating Characteristics and Analyzing Methods of Bidding Data in Online Auctions

作　　者：严明义[1] 

机构地区：[1]西安交通大学经济与金融学院,陕西西安710061

出　　处：《统计与信息论坛》2008年第9期17-22,共6页Journal of Statistics and Information

基　　金：国家社会科学基金项目<经济函数性数据分析方法与应用研究>(07XTJ001)

摘　　要：在传统统计分析中,研究者面对的数值型数据有三种形式,即横截面数据、时间序列数据以及混合数据。这些类型的数据具有离散、等间隔分布、密度均匀等特点,它们是传统的描述性统计和推断性统计中最主要的数据分析对象。然而,从拍卖网站收集到的诸如竞买者出价等数据,却不具备这些特点,对传统统计分析方法提出了挑战。因此需要从数据容量、数据的混合性、不等间隔分布及数据密度等方面,对网上拍卖数据的产生机制进行阐释,对其特征进行分析,并结合实际网上拍卖资料给出分析此类数据的方法和过程。There are three types of data which the researchers concern in traditional statistics, they are cross -sectional data, time series data and mixing data. They are the data sets that the traditional descriptive statistics and inferential statistics mainly concerned and they posses the discrete, equally spaced and uniformly density features. However, the bidding data set collected from online auctions is different from the data set above, and brings forward statistical challenges. This paper has explained the generating mechanics of bidding data in online auctions, and analyzed its characteristics via the description of the data size, mixing feature, unequally spaced distribution and sparseness. In addition, this paper has introduced a method and procedure of analyzing the bidding data with online auctions selected from eBay.

关 键 词：网上拍卖 数据 特征 函数性数据分析 

分 类 号：C812[社会学—统计学]