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학술저널

원형통계학과 반원형 정규분포의 확장

Circular statistics and an Extension of Semicircular Normal Distribution

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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.

I. 서론

II. 원형 통계학의 소개

III. 반원형 정규(SCN)분포

IV. 반원형 왜곡정규(SCSN)분포

V. 결론 및 추후연구과제

참고문헌

Abstract

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