Autor: Domański, Czesław - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: 100 Years of the Polish Statistical Association
Autorzy:: Domański, Czesław
Powiązania:: https://bibliotekanauki.pl/articles/465695.pdf
Data publikacji:: 2012
Wydawca:: Główny Urząd Statystyczny
Źródło:: Statistics in Transition new series; 2012, 13, 1; 179-186
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Regression model of water demand for the city of Lodz as a function of atmospheric factors
Autorzy:: Domański, Czesław
Kubacki, Robert
Powiązania:: https://bibliotekanauki.pl/articles/2107156.pdf
Data publikacji:: 2022-06-14
Wydawca:: Główny Urząd Statystyczny
Tematy:: water demand
atmospheric factors
regression model
Opis:: One of the Sustainable Development Goals (Goal 6) set by the United Nations is to provide people with access to water and sanitation through sustainable water resources management. Water supply companies carrying out tasks commissioned by local authorities ensure there is an optimal amount of water in the water supply system. The aim of this study is to present the results of the work on a statistical model which determined the influence of individual atmospheric factors on the demand for water in the city of Lodz, Poland, in 2010-2019. In order to build the model, the study used data from the Water Supply and Sewage System Company (Zakład Wodociągów i Kanalizacji Sp. z o.o.) in the city of Lodz complemented with data on weather conditions in the studied period. The analysis showed that the constructed models make it possible to perform a forecast of water demand depending on the expected weather conditions.
Źródło:: Statistics in Transition new series; 2022, 23, 2; 153-161
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 3.

Tytuł:: Comparison of selected tests for univariate normality based on measures of moments
Autorzy:: Domański, Czesław
Szczepocki, Piotr
Powiązania:: https://bibliotekanauki.pl/articles/1059001.pdf
Data publikacji:: 2020-12-04
Wydawca:: Główny Urząd Statystyczny
Tematy:: normality tests
Monte Carlo simulation
power of test
Opis:: Univariate normality tests are typically classified into tests based on empirical distribution, moments, regression and correlation, and other. In this paper, power comparisons of nine normality tests based on measures of moments via the Monte Carlo simulations is extensively examined. The effects on power of the sample size, significance level, and on a number of alternative distributions are investigated. None of the considered tests proved uniformly most powerful for all types of alternative distributions. However, the most powerful tests for different shape departures from normality (symmetric short-tailed, symmetric long-tailed or asymmetric) are indicated.
Źródło:: Statistics in Transition new series; 2020, 21, 5; 151-178
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

Artykuł

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