Martina Čampulová

Comparison of Methods for Smoothing Environmental Data with an Application to Particulate Matter PM10

Martina Čampulová, 2018 .

An R package for identification of outliers in environmental time series data

Martina Čampulová, J. Holesovsky, R. Čampula, 2022, Environ. Model. Softw..

Generalised linear model-based algorithm for detection of outliers in environmental data and comparison with semi-parametric outlier detection methods

Jaroslav Michálek, Jiří Moučka, Martina Čampulová, 2019, Atmospheric Pollution Research.

Nonparametric algorithm for identification of outliers in environmental data

Jaroslav Michálek, Drago Bokal, Pavel Mikuška, 2018 .

Semiparametric outlier detection in nonstationary times series: Case study for atmospheric pollution in Brno, Czech Republic

Martina Čampulová, Jan Holešovský, Jaroslav Michálek, 2018 .

Control chart and Six sigma based algorithms for identification of outliers in experimental data, with an application to particulate matter PM10

Martina Čampulová, Jaroslav Michálek, Petr Veselík, 2017 .