MISC

査読有り
2018年

再現可能性ははたして必要なのか:p値問題から垣間見る科学研究の多様性

計量生物学
  • 三中 信宏

38
2
開始ページ
117
終了ページ
125
記述言語
日本語
掲載種別
DOI
10.5691/jjb.38.117
出版者・発行元
日本計量生物学会

<p>The recent controversy over the use and abuse of p-values in statistical data analysis sheds a light on the epistemological diversity of scientific researches and the nature of science. Since the nineteenth century theoretical statisticians including Karl Pearson, Ronald A. Fisher, Jerzy Neyman, and Egon S.Pearson constructed the mathematical basis of modern statistics, for example, experimental design, sampling distributions, or hypothesis testing, etc. However, statistical reasoning as empirical inference is not necessarily limited to the Neyman-Pearson's decision-making paradigm. Any kind of non-deductive inference—for example, abduction—also uses statistics as an exploratory tool for relative ranking among alternative hypotheses and models. We must understand not only the proper use of statistical methods and procedures but also the nature of each science to which statistics is applied.</p>

リンク情報
DOI
https://doi.org/10.5691/jjb.38.117
CiNii Articles
http://ci.nii.ac.jp/naid/130006742189
CiNii Books
http://ci.nii.ac.jp/ncid/AA11591618
CiNii Resolver ID
http://ci.nii.ac.jp/nrid/9000390426104
URL
http://id.ndl.go.jp/bib/029007590