期刊
JOURNAL OF NANOPARTICLE RESEARCH
卷 13, 期 12, 页码 6991-7004出版社
SPRINGER
DOI: 10.1007/s11051-011-0610-x
关键词
Nano exposure measurements; Time series; ARIMA; Environmental; health and safety (EHS) effects
Measurement strategies for exposure to nano-sized particles differ from traditional integrated sampling methods for exposure assessment by the use of real-time instruments. The resulting measurement series is a time series, where typically the sequential measurements are not independent from each other but show a pattern of autocorrelation. This article addresses the statistical difficulties when analyzing real-time measurements for exposure assessment to manufactured nano objects. To account for autocorrelation patterns, Autoregressive Integrated Moving Average (ARIMA) models are proposed. A simulation study shows the pitfalls of using a standard t-test and the application of ARIMA models is illustrated with three real-data examples. Some practical suggestions for the data analysis of real-time exposure measurements conclude this article.
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