Visuotinio atšilimo duomenų tyrimas ir juo pagrįstos statistinės išvados / ; Investigation of global annual temperature anomalies and statistical interferences based on it.

Global warming problem earlier investigated mostly by scientists in climatology, now attract the attention of many researchers because a changing climate cause a great anxiety. The paper analyses the data of North and South hemisphere temperatures variation and North and South hemisphere temperatures 5 years average variation. The data collected by the National Aeronautics and Space Administration since 1880 year are analyzed as time series in this paper. The ARMA models are fitted, their statistical characteristics evaluated and predictions for future values have been calculated using the fitted models of one dimensional and multidimensional autoregressive models. Calculated predicted values were compared to really observed values and the research resulted in the best fitted autoregressive and moving average models well describing the global warming data.