@misc{Jęda_Waldemar_Paweł_Processing_2005,
 author={Jęda, Waldemar Paweł and Nahorski, Zbigniew (1945– )},
 copyright={Creative Commons Attribution BY 4.0 license},
 address={Warszawa},
 journal={Raport Badawczy = Research Report},
 howpublished={online},
 year={2005},
 publisher={Instytut Badań Systemowych. Polska Akademia Nauk},
 publisher={Systems Research Institute. Polish Academy of Sciences},
 language={eng},
 abstract={One of the purposes of this article is to propose statistical signal processing methods to assess the uncertainty of reported greenhouse gases emissions. They use the yearly reported observations while assuming temporal smoothness of the emission curve. The considered methods are: a spline function smoothing procedure, a time-varying parameter model, and the geometric Brownian motion model. They are verified on historical observations of the CO2 emissions from combustion of the fossil fuels. The obtained estimates of variances agree in the range with those obtained from national inventories. As an additional result, some regularities in observed curves were noticed.},
 type={Text},
 title={Processing National CO 2 Inventory Emission Data and their Total Uncertainty Estimates},
 URL={http://rcin.org.pl/ibsys/Content/109486/PDF/RB-2005-08.pdf},
 keywords={Nonparametric methods, Modelling co2 emissions, Geometric brownian motion, Estimation of variance, Parametric methods},
}