Applying Monte Carlo Simulation Technique to the Study of Composite Sampling for Chemical Analysis of Stratified Materials

Abstract

Abstract: Monte Carlo simulation technique was applied to the study of composite sampling for chemical analysis of stratified materials.The distribution of the concentration of analyte in the composite samples, the distribution of the composite sampling variance estimates and the effect of the number of composite samples on the precision of composite sampling vari-ance estimates were investigated.Populations with Gaussian, random and polynomial distri-butions were studied in this paper.The sampling rules are found to be similar to different parent distributions if the number of samples taken is large.

Key words: Stratified population, Composite sampling, Sampling precision, Monte Carlo simulation

CLC Number:

O651

TrendMD:

GAO Zhi, HE Xi-Wen, LI Yi-Jun. Applying Monte Carlo Simulation Technique to the Study of Composite Sampling for Chemical Analysis of Stratified Materials[J]. Chem. J. Chinese Universities, 1999, 20(9): 1354.

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Applying Monte Carlo Simulation Technique to the Study of Composite Sampling for Chemical Analysis of Stratified Materials

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