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Generalized extreme value regression for binary response data: An application to B2B electronic payments system adoption

机译：二元响应数据的广义极值回归：an 应用于B2B电子支付系统的采用

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In the information system research, a question of particular interest is tointerpret and to predict the probability of a firm to adopt a new technologysuch that market promotions are targeted to only those firms that were morelikely to adopt the technology. Typically, there exists significant differencebetween the observed number of ``adopters'' and ``nonadopters,'' which isusually coded as binary response. A critical issue involved in modeling suchbinary response data is the appropriate choice of link functions in aregression model. In this paper we introduce a new flexible skewed linkfunction for modeling binary response data based on the generalized extremevalue (GEV) distribution. We show how the proposed GEV links provide moreflexible and improved skewed link regression models than the existing skewedlinks, especially when dealing with imbalance between the observed number of0's and 1's in a data. The flexibility of the proposed model is illustratedthrough simulated data sets and a billing data set of the electronic paymentssystem adoption from a Fortune 100 company in 2005.

机译：在信息系统研究中，特别感兴趣的问题是解释和预测公司采用新技术的可能性，以使市场促销仅针对那些更可能采用该技术的公司。通常，观察到的``采用者''和``非采用者''之间存在显着差异，通常将其编码为二进制响应。建模此类二进制响应数据涉及的一个关键问题是在回归模型中适当选择链接函数。在本文中，我们介绍了一种新的灵活的偏斜链接函数，用于基于广义极值（GEV）分布对二进制响应数据进行建模。我们展示了拟议的GEV链接如何比现有的倾斜链接提供更灵活和改进的倾斜链接回归模型，尤其是在处理数据中观察到的0和1之间的不平衡时。通过仿真数据集和2005年《财富》 100强公司采用的电子支付系统的计费数据集，说明了所提出模型的灵活性。

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Wang, Xia; Dey, Dipak K.;
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1. GENERALIZED EXTREME VALUE REGRESSION FOR BINARY RESPONSE DATA: AN APPLICATION TO B2B ELECTRONIC PAYMENTS SYSTEM ADOPTION [J] . XIA WANG, DIPAK K . DEY The Annals of applied statistics . 2010,第4期

机译：二元响应数据的广义极值回归：在B2B电子付款系统采用中的应用
2. Generalized extreme value regression for ordinal response data [J] . Wang X., Dey D.K. Environmental and ecological statistics . 2011,第4期

机译：序数响应数据的广义极值回归
3. Generalized extreme value regression for ordinal response data [J] . Xia Wang, Dipak K. Dey Environmental and Ecological Statistics . 2011,第4期

机译：序数响应数据的广义极值回归
4. An empirical research on the external influencing factors for consumers'adopting electronic payment platform consumers'adopting electronic payment platform read as consumers' adoption of electronic payment platform [C] . Bin Dan, Yi Zhang, Wei Li . 2005

机译：消费者采用电子支付平台的外部影响因素的实证研究消费者采用电子支付平台被理解为消费者采用电子支付平台
5. Regression models for spatial binary data with application to the distribution of plant species [D] . Wu, Hulin. 1994

机译：空间二元数据的回归模型及其在植物物种分布中的应用
6. Joint generalized estimating equations for multivariate longitudinal binary outcomes with missing data: An application to AIDS data [O] . STUART R. LIPSITZ, GARRETT M. FITZMAURICE, JOSEPH G. IBRAHIM, -1

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7. Generalized Extreme Value Regression for Binary Rare Events Data: an Application to Credit Defaults [O] . Raffaella Calabrese, Silvia Angela Osmetti 100

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8. Constructing and Testing Logistic Regression Models for Binary Data: Applicationsto the National Fire Danger Rating System [R] . Loftsgaarden, D. O., Andrews, P. L. 1992

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Generalized extreme value regression for binary response data: An application to B2B electronic payments system adoption

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