実験計画のためのエアロゾル計数に関する統計的考察 A Statistical Study on the Design of Particle Count Measurements

この論文にアクセスする

この論文をさがす

著者

    • 福津 久美子 FUKUTSU Kumiko
    • 放射線医学総合研究所内部被ばく・防護研究部 Division of Radiotoxicology and Protection, National Institute of Radiological Sciences
    • 山田 裕司 YAMADA Yuji
    • 放射線医学総合研究所内部被ばく・防護研究部 Division of Radiotoxicology and Protection, National Institute of Radiological Sciences
    • 小泉 彰 [他] KOIZUMI Akira
    • 放射線医学総合研究所内部被ばく・防護研究部 Division of Radiotoxicology and Protection, National Institute of Radiological Sciences
    • 下 道國 SHIMO Michikuni
    • 放射線医学総合研究所内部被ばく・防護研究部 Division of Radiotoxicology and Protection, National Institute of Radiological Sciences

抄録

Optimum sample sizes for designing particle count measurements were investigated. NaCl monodisperse aerosols were counted using a condensation nucleus counter (CNC). Statistical analysis of the data from the particle count with CNC agreed with the Poisson distribution. Furthermore, a χ<SUP>2</SUP>-test showed that a normal (Gaussian) distribution could be applied to the data when the mean of the particle count (<I>m</I>) is greater than 10. This result indicated that statistical analysis for the data could be simplified by using the normal distribution. In samples with <I>m</I> > 10<SUP>4</SUP>, the experimental error affected the fluctuation of the data with exceeding the statistical error. Optimum sample size was influenced by <I>m</I> as well as the fluctuation level of the data. These results suggested that the optimum experimental design consisted of 200 data with a mean in the range 10 ≤ <I>m</I> ≤ 10<SUP>3</SUP>.

収録刊行物

  • エアロゾル研究 = Journal of aerosol research  

    エアロゾル研究 = Journal of aerosol research 14(1), 55-62, 1999-03-20 

    日本エアロゾル学会

参考文献:  8件

参考文献を見るにはログインが必要です。ユーザIDをお持ちでない方は新規登録してください。

各種コード

  • NII論文ID(NAID)
    10002783318
  • NII書誌ID(NCID)
    AN10041511
  • 本文言語コード
    ENG
  • 資料種別
    ART
  • ISSN
    09122834
  • NDL 記事登録ID
    4685647
  • NDL 雑誌分類
    ZP5(科学技術--化学・化学工業--化学工学)
  • NDL 請求記号
    Z17-1062
  • データ提供元
    CJP書誌  NDL  J-STAGE 
ページトップへ