Mitsuru Ueda, Hideharu Mori, et al.
Journal of Polymer Science Part A: Polymer Chemistry
Often one wants to compare a count, x1, from one sample with a count, x2, from another sample, to test whether they came from populations having the same means. Ractliffe (1964) [Appl. Statist. 13, 84-86] and Shuie and Bain (1982) [Appl. Statist. 31, 130-134] explored the behavior of the test statistic μ =(x2-x1)/ √ (x2 + x1), which can be used for this purpose. We demonstrate how to apply this test statistic to experimental design and analysis in the situation where two samples of particles are to be counted and compared. To summarize: |μ| > 2 indicates (at the 95% confidence level) the variates x1 and x2 were not drawn from populations having the same means. © 1991.
Mitsuru Ueda, Hideharu Mori, et al.
Journal of Polymer Science Part A: Polymer Chemistry
Sung Ho Kim, Oun-Ho Park, et al.
Small
S.F. Fan, W.B. Yun, et al.
Proceedings of SPIE 1989
S. Cohen, J.C. Liu, et al.
MRS Spring Meeting 1999