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Na granicy z codziennością. Motyw okna w epidemii koronawirusa

100%
Bednarz K.
inAW Journal – Multidisciplinary Academic magazine
|
2021
|
issue 2
54-66
EN
During the national quarantine and isolation symptomatic of the coronavirus epidemic, the window became the only direct link between people locked in their homes and the outside world. This motif, eagerly taken up to express a longing for lost everyday life, has also become a form of exchange for a new community in crisis. The analysis of the “Sketch your window” action initiated by Gabrielle Thierry shows the relevance of art in times of crisis, its therapeutic value and the possibilities of expressing experiences. The works created during this period treat the motif of the window in a variety of ways, showing the multiplicity of emotions and strategies for coping with the crisis. The window sometimes appears as an “impassable border”, and sometimes we do not even notice its presence. However, all these works have in common is sensible loneliness.
PL
W czasie kwarantanny narodowej i izolacji, znamiennej dla epidemii koronawirusa, okno stało się jedynym bezpośrednim łącznikiem między zamkniętymi w domach ludźmi a światem zewnętrznym. Motyw ten chętnie podejmowany, by wyrazić tęsknotę za utraconą codziennością, stał się także formą wymiany doświadczeń dla nowej wspólnoty dotkniętej kryzysem. Analiza akcji „Narysuj swoje okno” zainicjowanej przez Gabrielle Thierry pokazuje istotę sztuki w czasach kryzysu, jej wartość terapeutyczną oraz możliwości wyrażania przeżyć. Powstałe w tym okresie prace traktują motyw okna w różnorodny sposób, ukazują mnogość emocji oraz strategii radzenia sobie z kryzysem. Okno niekiedy jawi się jako „granica nie do przejścia”, a czasem wręcz nie zauważamy jego obecności. Wszystkie te prace łączy jednak wyczuwalna samotność.
2

Goodness of Fit Tests in Modeling the Distribution of the Daily Rate of Return of the WIG20 Companies

100%
Bednarz K.
Folia Oeconomica Stetinensia
|
2012
|
vol. 10
|
issue 2
103-113
EN
In this paper a classic rate of return was examined. Due to a limited quantitative range, the study included only the modeling of the rate of return distribution of the WIG20 index and its companies by means of the Laplace distribution and the Gaussian distribution. Additionally, the goodness of fit tests and methods of estimating the aforementioned distributions parameters were thoroughly covered. When applying the Laplace distribution to modeling the rate of return distribution the parameters were determined by means of two methods: the method of moments and the maximum likelihood method. The maximum period was determined, for which usefulness of the distribution in modeling the rates of return distribution was observed, as well as the results of the chi-square test for class intervals with varying length ensuring equal probability, and for intervals with identical length considering two methods of determining the theoretical size: in accordance with the cumulative distribution function as well as on the basis of the probability density function.
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