Comparing particle size distributions of an arbitrary shape
| Autor: | Michael Piller, Otto Scheibelhofer, Johannes Khinast, Maximilian O. Besenhard |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
General Chemical Engineering
Homogeneity (statistics) Asymptotic distribution 02 engineering and technology 021001 nanoscience & nanotechnology 030226 pharmacology & pharmacy Normal-gamma distribution Variance-gamma distribution 03 medical and health sciences 0302 clinical medicine Sampling distribution Heavy-tailed distribution Categorical distribution Statistics Statistical physics 0210 nano-technology Inverse distribution Mathematics |
| Zdroj: | Powder Technology. 294:134-145 |
| ISSN: | 0032-5910 |
| DOI: | 10.1016/j.powtec.2016.02.028 |
| Popis: | Since particle size distribution can provide crucial information regarding process and product quality, comparing one distribution with another and with modeled distributions is often necessary. Since only mean and median distribution values are often used for that purpose, important information may be missing. As such, methods are required that take into account the entire distribution and do not require modeling the distribution. The χ2-homogeneity test is a nonparametric homogeneity test based on the observed frequencies in the descriptive classes. In this work, we examined if it could be used for comparing particle size distributions and for large particle numbers. In conclusion, we demonstrate how this statistical test was successfully applied in several cases. |
| Databáze: | OpenAIRE |
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