응용통계연구 (The Korean Journal of Applied Statistics)

  • 제26권6호
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  • Pages.959-975
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  • 2013
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  • 1225-066X(pISSN)
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  • 2383-5818(eISSN)
한국통계학회 (The Korean Statistical Society)
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SAS macro faces를 사용한 체르노프 얼굴 분석에 의한 좋은 은행 평가

Good Bank Evaluation by Chernoff Face Analysis using SAS macro faces

  • Lee, Jeongeun (Department of Statistics, Chonnam National University) ;
  • Jeong, Hyeseon (Department of Statistics, Chonnam National University) ;
  • Kim, Minji (Department of Statistics, Chonnam National University) ;
  • Kim, Jihyun (Department of Statistics, Chonnam National University) ;
  • Son, Young Sook (Department of Statistics, Chonnam National University)
  • 투고 : 2013.09.27
  • 심사 : 2013.11.25
  • 발행 : 2013.12.31
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초록

Friendly (1992)의 SAS macro faces 프로그램은 다변량 시각화 표현법 중 하나인 체르노프 얼굴 분석을 위한 프로그램이다. 본 연구에서는 faces에서 사용된 18개 얼굴 특징 변수를 살펴보고 현 시대의 흐름에 맞는 좋은 얼굴의 정의에 따라 수정된 프로그램을 제시하였다. 또한 은행의 안정성, 소비자 만족도, 건전성, 수익성을 나타내는 11개 은행경제지표에 기초한 체르노프 얼굴분석을 통하여 국내 15개 은행에 대해 소비자 입장에서 좋은 은행 평가를 수행하였다.

The SAS macro faces program by Friendly (1992) is for Chernoff face analysis, which is one of methods for the visualization representation of multivariate data. In this paper, we examined 18 face features used in the program and presented the modified program depending on the definition of a good face in days present. In addition, a good bank evaluation for 15 domestic banks was performed through Chernoff face analysis based on 11 bank economic indicators representing stability, the consumer satisfaction, soundness, and banks profitability.

키워드

참고문헌

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피인용 문헌

  1. Big data analysis of public library operations and services by using the Chernoff face method vol.73, pp.3, 2017, https://doi.org/10.1108/JD-08-2016-0098