@misc{Hęćka_Patrycja_The_2023,
 author={Hęćka, Patrycja},
 identifier={DOI 10.15611/eada.2023.3.02},
 year={2023},
 rights={Pewne prawa zastrzeżone na rzecz Autorów i Wydawcy},
 publisher={Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu},
 description={Econometrics = Ekonometria, 2023, Vol. 27, No. 3, s. 20-34},
 language={eng},
 abstract={The aim of this article was to analyse functional data of the number of hospitalised individuals, intensive care patients, positive COVID-19 tests, deaths and convalescents during the second wave of the COVID-19 pandemic in Poland. For this purpose, firstly the author convert data of sixteen voivodeships to smooth functions, and then used the principal component analysis and multiple function-on-function linear regression model to predict the number of hospitalised and intensive care patients due to the COVID-19 infection during the second wave of the pandemic. Finally, the results were compared with those previously obtained for the combined data of the second and third wave of the COVID-19 pandemic in Poland (Hęćka, 2023).},
 title={The Second Wave of the COVID-19 Pandemic in Poland - Characterised Using FDA Methods},
 type={artykuł},
 keywords={function-on-function regression, functional data analysis, COVID-19, functional principal components analysis, smooth function, regresja function-on-function, analiza danych funkcjonalnych, analiza głównych składowych funkcjonalnych, funkcje gładkie},
}