http://swrc.ontoware.org/ontology#UnrefereedArticle
大規模データに対するべき分布性の確認方法
ja
べき分布
離散
コルモゴロフ-スミルノフ検定
最尤法
P(論文)
論文
Article
井上 寛康
イノウエ ヒロヤス
INOUE Hiroyasu
大阪産業大学経営学部流通学科
In social science, it is mostly assumed that there is a typical value for data. This is because normal distribution is supposed. However, it is hardly possible that all data in the natural world as well as human society obey normal distribution. Hence, if people take data for some phenomenon and suppose the data obeys normal distribution, that can lead to a wrong conclusion. In fact, people can have accessed many large scale empirical data in recent years and found those distributions do not obey normal distribution. Some of them obey power-law distribution whose nature has been recently well studied. This paper studied whether the distribution of joint patent applications for an organization obeys power-law distribution or not. The distribution is far from normal distribution and looks like power-law distribution. Hence, it was judged whether the distribution obeys power-law distribution using Clauset's method. The results showed the distribution in 7 and over obeys power-law distribution, and the exponent is 3.03.
AA11394617
大阪産業大学経営論集
11
2
165-176
2010-02