원형통계학과 반원형 정규분포의 확장

• 영문명: Circular statistics and an Extension of Semicircular Normal Distribution
• 발행기관: 건국대학교 경제경영연구소
• 저자명: 신종균(Jong Kyun Shin) 김형문(Hyoung Moon Kim)
• 간행물 정보: 『상경연구』제31권 제2호, 45~55쪽, 전체 11쪽
• 주제분류: 경제경영 > 경제학
• 파일형태: PDF
• 발행일자: 2006.11.30

영문 초록

In this article, we introduce Circular statistics and SCN family of distributions. The semicircular skew normal(SCSN) flmily of distributions for observations on the half-circle and for axial data is developed. The SCSN family of distributions are based on the semicircular normal distributions which were developed by Guardiola(2004). The SCSN contains the SCN as a special case when the shape parameter equals to 0. The SCN and the SCSN have very convenient mathematical features. Moreover, simulation ofobservations from a SCN(SCSN) is straight-forward in most computer packages through transformation of simulated standard normal(skew normal) variables, respectively.

목차

I. 서론

II. 원형 통계학의 소개

III. 반원형 정규(SCN)분포

IV. 반원형 왜곡정규(SCSN)분포

V. 결론 및 추후연구과제

참고문헌

Abstract