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February 17, 2017

Examples of dynamic and fixed statistical populations for e-commerce services

Examples of dynamic and fixed statistical populations for e-commerce services

A statistical population is a set of similar items of interest for a question or experiment [1]. Here we further define a population as an ensemble of online payments that share a common characteristic.

  1. An example: The observatory for payment card security (OSCP);
  2. An e-commerce service's set of transactions; and
  3. Dynamic vs. Fixed populations.

An example: The observatory for payment card security (OSCP)

In the case of the Observatory for Payment Card Security (OSCP) published by the Banque de France, the common characteristic is the country; the report describes payment fraud in the set of online payments acquired by French acquiring services or processed by French issuers.

An e-commerce service's set of transactions

Another population is the set of online payments made on an e-commerce service. In that case, fraud is considered within the sales of that merchant. For example, a subpopulation would be all the sales made via a PayPal payment.

Dynamic vs. Fixed populations

Previous examples are instances of dynamic populations, where actual
cardholders making purchases change over time. Alternatively, fixed
populations are also possible; notably, this could be the case if an e-commerce service distributes coupons to a deter- mined set of VIP clients.

Reference

  1. A.N. Glaser. High-yield Biostatistics. High-yield series. Lippin- cott Williams & Wilkins, 2001.
  2. Photo by [Postio (Own work)(https://commons.wikimedia.org/wiki/File%3APhoto_foule_2012.JPG)] [CC BY-SA 3.0 (https://creativecommons.org/licenses/by-sa/3.0)]