caa a22 4500 475762533 CHVBK 20180406123555.0 cr unu---uuuuu 170329e20001201xx s 000 0 eng 10.1023/A:1026571515769 doi (NATIONALLICENCE)springer-10.1023/A:1026571515769 Mohapl Jaroslav ARQM, Atmospheric Environment Service, 4905 Dufferin Street, M3H 5T4, Downsview, Ontario, Canada aut Statistical inference on series of atmospheric chemistry data* [Elektronische Daten] [Jaroslav Mohapl] This study is motivated by a problem concerning comparison of atmospheric chemistry data obtained from two different measurement networks. The data describe pollutant concentrations in air. One network analyzes gases and particles captured on filters daily, the other weekly. The networks use similar but not identical instrumentation and measurement methods. Chemical concentrations form usually non-stationary time series. The goal of the paper is to present a multivariate linear Gaussian model with time dependent correlation matrix for description of such series, a method for parameter estimation and fitting of the model and the procedure used for inference about the mentioned data. Kluwer Academic Publishers, 2000 non-stationary time series nationallicence stochastic differential equation nationallicence Ito^ equation nationallicence ANOVA for correlated data nationallicence multivariate random processes nationallicence maximum likelihood estimation nationallicence Environmental and Ecological Statistics Kluwer Academic Publishers 7/4(2000-12-01), 357-384 1352-8505 7:4<357 2000 7 10651 https://doi.org/10.1023/A:1026571515769 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1026571515769 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Mohapl Jaroslav ARQM, Atmospheric Environment Service, 4905 Dufferin Street, M3H 5T4, Downsview, Ontario, Canada aut NATIONALLICENCE 773 0- Environmental and Ecological Statistics Kluwer Academic Publishers 7/4(2000-12-01), 357-384 1352-8505 7:4<357 2000 7 10651 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer