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2016 Fiscal Year Final Research Report

Testing for multivariate normality

Research Project

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Project/Area Number 26330053
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Statistical science
Research InstitutionOkayama University of Science (2016)
Kurashiki University of Science and the Arts (2014-2015)

Principal Investigator

Nakagawa Shigekazu  岡山理科大学, 総合情報学部, 教授 (90248203)

Co-Investigator(Renkei-kenkyūsha) NIKI NAOTO  東京理科大学, 工学部, 名誉教授 (10000209)
Project Period (FY) 2014-04-01 – 2017-03-31
Keywords正規性 / 歪度 / 尖度 / キュムラント
Outline of Final Research Achievements

As a first fruit, we give a new graphical method testing for normality based on an approximate joint probability density function of the sample skewness and kurtosis. In addition, we develop a new graphical method to access the multivariate normality combining with the principal component method.
Secondly, we give a recurrence formula for the joint distribution of the sample skewness and kurtosis. Moreover, we obtain a recurrence formula for their product moments and their exact expression up to the requisite order.

Free Research Field

統計科学

URL: 

Published: 2018-03-22  

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