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Wyświetlanie 1-15 z 23
Tytuł:
Regression Analysis of Principal Dimensions and Speed of Aircraft Carriers
Autorzy:
Bi, J. Y.
Zong, Z.
Powiązania:
https://bibliotekanauki.pl/articles/260246.pdf
Data publikacji:
2014
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
aircraft carriers
speed
principal dimensions
regression
variance
Opis:
In this paper empirical formulas relating the speed to principal dimensions of aircraft carriers have been obtained through regression analysis of the data of 105 aircraft carriers. To reduce uncertainty as much as possible, aircraft carriers are classified into several different categories. In each category, regression analysis is separately performed such that a variety of regression (empirical) formulas have thus been obtained for possible use at the initial design stage of a carrier. The goodness of fit of these formulas is finally analyzed through variance analysis.
Źródło:
Polish Maritime Research; 2014, 1; 35-41
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Redescending M-estimators in regression analysis, cluster analysis and image analysis
Autorzy:
Müller, Christine
Powiązania:
https://bibliotekanauki.pl/articles/729806.pdf
Data publikacji:
2004
Wydawca:
Uniwersytet Zielonogórski. Wydział Matematyki, Informatyki i Ekonometrii
Tematy:
redescending M-estimator
regression
breakdown point
optimality
cluster analysis
image analysis
kernel estimator
Opis:
We give a review on the properties and applications of M-estimators with redescending score function. For regression analysis, some of these redescending M-estimators can attain the maximum breakdown point which is possible in this setup. Moreover, some of them are the solutions of the problem of maximizing the efficiency under bounded influence function when the regression coefficient and the scale parameter are estimated simultaneously. Hence redescending M-estimators satisfy several outlier robustness properties. However, there is a problem in calculating the redescending M-estimators in regression. While in the location-scale case, for example, the Cauchy estimator has only one local extremum this is not the case in regression. In regression there are several local minima reflecting several substructures in the data. This is the reason that the redescending M-estimators can be used to detect substructures in data, i.e. they can be used in cluster analysis. If the starting point of the iteration to calculate the estimator is coming from the substructure then the closest minimum corresponds to this substructure. This property can be used to construct an edge and corner preserving smoother for noisy images so that there are applications in image analysis as well.
Źródło:
Discussiones Mathematicae Probability and Statistics; 2004, 24, 1; 59-75
1509-9423
Pojawia się w:
Discussiones Mathematicae Probability and Statistics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Uncertainty analysis of production in open pit mines – operational parameter regression analysis of mining machinery
Autorzy:
Lanke, A. A.
Ghodarati, B.
Hoseinie, S. H.
Powiązania:
https://bibliotekanauki.pl/articles/88986.pdf
Data publikacji:
2016
Wydawca:
Politechnika Wrocławska. Wydział Geoinżynierii, Górnictwa i Geologii. Instytut Górnictwa
Tematy:
mine production
availability
utilization
regression
Opis:
In mining uncertainties related to equipment and operation are major reasons for loss of production. In order to address this issue, a wide literature review was done in this study. It showed that reliability of equipment, spare part availability, automation of equipment are researched areas focused. However, a methodology which relates operational issues directly to production levels has been not studied with detailed analysis. In order to overcome this issue and propose, a method to achieve production assurance is the objective of this study. A case study with 2.5 years of data from a large open pit mine is carried out. Following the statistical principles, multiple regressions modelling with details analysis, optimization of payload and interpretation of analysis are used. It showed that at system level availability, utilization and maximum capacities are important criteria for finding root cause in loss of production. Model for shovel fleet showed that availability is the most important characteristics hindering it to achieve a higher level of production. It was also seen that 3 to 4 number of shovels are optimal for achieving current level of production. For truck fleet model represented that capacities involved are less important factor as compared to the utilization of the fleet.
Źródło:
Mining Science; 2016, 23; 147-160
2300-9586
2353-5423
Pojawia się w:
Mining Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Temporal predictive regression models for linguistic style analysis
Autorzy:
Klaussner, C.
Vogel, C.
Powiązania:
https://bibliotekanauki.pl/articles/103873.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Instytut Podstaw Informatyki PAN
Tematy:
language change
style analysis
regression
Opis:
This study focuses on modelling general and individual language change over several decades. A timeline prediction task was used to identify interesting temporal features. Our previous work achieved high accuracy in predicting publication year, using lexical features marked for syntactic context. In this study, we use four feature types (character, word stem, part-of-speech, and word n-grams) to predict publication year, and then use associated models to determine constant and changing features in individual and general language use. We do this for two corpora, one containing texts by two different authors, published over a fifty-year period, and a reference Corpus containing a variety of text types, representing general language style over time, for the same temporal span as the two authors. Our linear regression models achieve good accuracy with the two-author data set, and very good results with the reference corpus, bringing to light interesting features of language change.
Źródło:
Journal of Language Modelling; 2018, 6, 1; 175-222
2299-856X
2299-8470
Pojawia się w:
Journal of Language Modelling
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
APPLICATION OF REGRESSION MODELS IN ANALYSIS OF THE ADVERTISEMENT'S IMPACT ON CONSUMER'S DECISION MAKING PROCESS
Autorzy:
Chrzanowska, Mariola
Chudzian, Joanna
Powiązania:
https://bibliotekanauki.pl/articles/452919.pdf
Data publikacji:
2014
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki
Tematy:
regression
consumer's decision making process
advertising
AIDA model
Opis:
Consumer's behaviour in the market is a widely studied and analysed problem. Complexity of social, economic and psychological determinants that influence consumer's decision process is a reason for multilevel and multi-factor approaches to analyse this problem. Therefore the aim of this paper is to describe application of parametric regression model for the effectiveness of advertising. The study described is based on a survey covering 550 consumers of dairy product, all of age over 15 and living in one of the nine biggest Polish agglomerations. Built models were examined and verified statistically. Obtained results clearly show that the approach chosen to describe AIDA model is an appropriate method for analysing impact of advertisement on consumer's decision making process.
Źródło:
Metody Ilościowe w Badaniach Ekonomicznych; 2014, 15, 2; 64-73
2082-792X
Pojawia się w:
Metody Ilościowe w Badaniach Ekonomicznych
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Statistical and Econometric Analysis of Selected Effects of COVID-19 Pandemic
Autorzy:
Kempa, Wojciech
Rydarowska-Kurzbauer, Joanna
Halama, Marzena
Smuda, Elżbieta
Biel, Maciej
Powiązania:
https://bibliotekanauki.pl/articles/2064569.pdf
Data publikacji:
2021
Wydawca:
STE GROUP
Tematy:
cluster analysis
COVID-19 pandemic
GDP
regression
unemployment
Opis:
The paper examines the impact of the COVID-19 pandemic on macroeconomic activity in the selected European countries. The studies are based on monthly and quarterly indicators of GDP, unemployment rates and key indicators of the tourism sector. To present how COVID-19 has affected these macroeconomic variables, statistic data from the three periods are compared. Namely, data are collected from the pre-pandemic period, i.e. the fourth quarter of 2019 as the reference period, the second period covers the first quarter of 2020 and means the beginning of the pandemic, and the third one covers second quarter of 2020, during which the pandemic has spread to all the analyzed countries. The following statistical techniques are used in the research: regression analysis, the hierarchical grouping of agglomerations, k-means method, and selected non-parametric tests (Kruskal-Wallis test for a selected group of countries and Kolmogorov-Smirnov test for a selected pair of countries). The results show the significant impact of the pandemic on the level of gross domestic product, unemployment rate and turism sector. In most cases, a correlation between incidence of COVID-19 infections, unemployment rate and GDP is observed. The statistical techniques also allow to demonstrate the similarities and differences in the response of the economies to the COVID-19 pandemic. Central Statistical Offices of the selected countries are the main data source and for all calculations Statistica version 13.3. is used.
Źródło:
Multidisciplinary Aspects of Production Engineering; 2021, 4, 1; 395--407
2545-2827
Pojawia się w:
Multidisciplinary Aspects of Production Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Trend analysis of flood peaks in lower reaches of Satluj River, Himachal Pradesh, India
Autorzy:
Kumar, S.
Santosh, ---
Powiązania:
https://bibliotekanauki.pl/articles/970628.pdf
Data publikacji:
2015
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
flood peaks
mann-kendall test
satluj river basin
regression
trend analysis.
Opis:
Climate change arising from anthropogenic driven emissions of greenhouse gases has emerged as one of the most important environmental issues in the last two decades. One of the most significant potential consequences of climate change may be alteration in regional hydrological cycle and river flow regimes. Increased temperature is expected to increase the peak flows in snowfed rivers of Himalayas. The changing pattern of regional temperature on flood peaks deserves urgent and systematic attention over a basin which provides an insight view of historical trends. Lower reaches of Satluj River is selected for the present study. Testing the significance of observed trends in flood peaks has received a great attention recently, especially in connection with climate change. The data series available was 48 years (1967-2010). The records were subjected to trend analysis by using both non-parametric (Mann-Kendall test) and parametric (linear regression analysis) procedures. For better understanding of the observed trends, flood peaks were computed into standardised flood peak indices (SFPI). These standardised data series were plotted against time and the linear trends observed were represented graphically. The analysis of flood peaks at different observation stations in lower reaches of Satluj River showed a large variability in the trends and magnitudes. The trend analysis results of flood peaks and gauge heights indicate that the flood peaks at all sites i.e. Rampur, Suni and Kasol show increasing but statistically insignificant trends. The trends in gauge height at all sites are also showing increasing trend but Kasol is statistically significant at 95% confidence level. The fast melting of glaciers, incessant monsoon rainfall and the synchronisation of the discharge peaks are the main causes of river floods. The past flood peaks will help us to observe the frequency of occurrence of floods in certain region and to determine whether the flood peaks in the past have been same with that of the present or whether there is any deviation in the trend in relation to climate change. Such studies will help in designing mitigation and adaptation strategies towards extreme hydrological events.
Źródło:
International Letters of Natural Sciences; 2015, 46
2300-9675
Pojawia się w:
International Letters of Natural Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Determinants of COVID-19 Death Rate in Europe: Empirical Analysis
Czynniki wpływające na śmiertelność z powodu COVID-19 w Europie: analiza empiryczna
Autorzy:
Kozlovskyi, Serhii
Bilenko, Daria
Dluhopolskyi, Oleksandr
Vitvitskyi, Serhii
Bondarenko, Olha
Korniichuk, Oleksandr
Powiązania:
https://bibliotekanauki.pl/articles/1841003.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Komitet Człowiek i Środowisko PAN
Tematy:
COVID-19
coronavirus pandemic
death rate
economic development
GDP
regression
pandemia koronawirusa
śmiertelność
rozwój ekonomiczny
regresja
Opis:
At the end of 2019, the new virus called Coronavirus disease (COVID-19) spread widely from China all over the world (including Europe). Most countries in Europe at the beginning of 2020 have been quarantined. The aim of the work is to develop the system dynamics model for assessing the impact of the different factors on the COVID-19 death rate in Europe. There were tested three hypotheses about factors of reducing the COVID-19 death rate with the help of linear regression analysis. The density of the population of European countries doesn’t affect the COVID-19 death rate. Also, COVID-19 death rate does not drastically affect mortality statistics. But the level of country’s economic development is a factor of COVID-19 death rate because in high developed countries the pandemic death rate is lower, regardless of the mechanisms of the spread of the disease and its impact on human health.
Z końcem 2019 r. nowy wirus COVID-19 rozprzestrzenił się z Chin po całym świecie (w tym po Europie). Większość krajów europejskich wiosną 2020 r. wprowadziła powszechną kwarantannę. Celem tej pracy jest opra-cowanie modelu dynamiki systemu pozwalającego określić wpływ różnych czynników na śmiertelność z powodu koronawirusa w Europie. Za pomocą analizy regresji liniowej sprawdzono trzy hipotezy dotyczące czynników zmniejszających śmiertelność COVID-19. Jak się okazuje, gęstość zaludnienia w różnych krajach europejskich nie wpływa na śmiertelność z powodu COVID-19. Ponadto śmiertelność z powodu koronawirusa nie zwiększa w znaczący sposób ogólnych statystyk śmiertelności. Natomiast poziom rozwoju gospodarczego kraju jest już czynnikiem wpływającym na śmiertelności z powodu COVID-19, ponieważ w krajach wysoko rozwiniętych śmiertelność w wyniku pandemii jest niższa, niezależnie od mechanizmów rozprzestrzeniania się choroby i jej wpływu na zdrowie ludzi.
Źródło:
Problemy Ekorozwoju; 2021, 16, 1; 17-28
1895-6912
Pojawia się w:
Problemy Ekorozwoju
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Proposal of heuristic regression method applied in descriptive data analysis: case studies
Autorzy:
Gomes, F. A.
Assis, A. de O.
Reis, M. R. da C.
Gomes, V. M.
Oliveira, S. G. M.
Araujo, W. R. H. de
Calixto, W. P.
Powiązania:
https://bibliotekanauki.pl/articles/136229.pdf
Data publikacji:
2017
Wydawca:
EEEIC International Barbara Leonowicz Szabłowska
Tematy:
regression
data analysis
optimization
heuristic
modeling
Opis:
The purpose of this paper is to use the hybridized optimization method in order to find mathematical structures for analysis of experimental data. The heuristic optimization method will be hybridized with deterministic optimization method in order to that structures found require not knowledge about data generated experimentally. Five case studies are proposed and discussed to validate the results. The proposed method has viable solution for the analysis of experimental data and extrapolation, with mathematical expression reduced.
Źródło:
Transactions on Environment and Electrical Engineering; 2017, 2, 2; 51-57
2450-5730
Pojawia się w:
Transactions on Environment and Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Możliwości zastosowania data mining w sektorze opieki zdrowotnej
Autorzy:
Sala, Karolina
Selwon, Adam
Powiązania:
https://bibliotekanauki.pl/articles/2148180.pdf
Data publikacji:
2018
Wydawca:
Instytut Studiów Międzynarodowych i Edukacji Humanum
Tematy:
health care
data mining
data analysis
clustering
regression
prevention of errors
Opis:
Health care is a dynamically developing sector of the economy, which generates a large amount of useful data about health of the inhabitants of the country and individual regions. These include information on the incidence of selected diseases, data on medical facilities and employees, as well as expenditure on health care. in recent years, many scientific articles about data mining in health care have been published. in this article, presented a review of the literature on health analytics and data mining techniques used in this field. based on the information gathered, the current development in this field and possibilities that can be used in the future are indicated.
Źródło:
Prosopon. Europejskie Studia Społeczno-Humanistyczne; 2018, 3(24); 85-92
1730-0266
Pojawia się w:
Prosopon. Europejskie Studia Społeczno-Humanistyczne
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysis of the impact of the technological parameters pad welding steel C45E wire castomag 4554S on geometry padding weld method Taguchi
Autorzy:
Woźniak, P.
Starosta, R.
Powiązania:
https://bibliotekanauki.pl/articles/246091.pdf
Data publikacji:
2017
Wydawca:
Instytut Techniczny Wojsk Lotniczych
Tematy:
pad welding
regression
analysis
GMA
padding weld
Opis:
Using the pad welding technique it is possible to regenerate machine parts or improve surface properties such as abrasion, corrosion and aging resistance. The regeneration process with the use of pad welding can be performed using the same equipment, which we use for welding. Metals and their alloys with required properties in the form of wire, rod or powder are selected for the additional material. To ensure optimum processing conditions and economic efforts should be made, while providing a high deposition efficiency for the small amount of metal in the pad weld substrate. The pad welding process for the test subject should be carried out by preheating to evaporate the moisture and reduce the porosity of the weld. This treatment is required depending on the carbon equivalent. This article is an introduction to a series of investigations that will allow you to choose the best parameters of pad welding GMA (gas metal arc) method, steel C45E with wire CASTOMAG 4554S. Steel samples were prepared and preheated to 300°C. Using the orthogonal experiment plan, the influence of selected parameters on the geometry and depth of fusion was determined. The analysis was based on current and wire feed speed. The test was carried out for three current values: 60, 75, 90 A and wire feed rate of 1.5, 2, 2.5 m/min. The purpose of the analysis was to select appropriate technological parameters. Obtaining the smallest share of the base material in the weld pad and impact assessment parameters for welding seam geometries. For the analysis of the results of multiple regression was used.
Źródło:
Journal of KONES; 2017, 24, 2; 301-306
1231-4005
2354-0133
Pojawia się w:
Journal of KONES
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Occupational composition of an economy and effective retirement age across European countries: an econometric analysis
Autorzy:
Chybalski, Filip
Powiązania:
https://bibliotekanauki.pl/articles/2175849.pdf
Data publikacji:
2022
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
retirement age
occupation
human resources
policy decision
regression
simulation
Opis:
In this study, panel regression models for 21 European countries and data covering the period between 2008 and 2014 were used to demonstrate that the distribution of working population across different occupational groups explains cross-country differences in terms of the average effective retirement age. Thus, while the great majority of previous studies verified the causal trade-off investigated on the basis of single-country micro data with reference to one economy, this study takes perspective of cross-country diversity in terms of the investigated relationship. The confirmed link holds even when controlling inter alia for health status, education, unemployment, old-dependency ratio, interest rate, GDP per capita, or the share of salaries and wages in GDP. An important practical implication for the policy-makers is that decisions limited only to the increase in the universal pensionable age cannot be effective, since the occupational composition of an economy is very relevant.
Źródło:
Operations Research and Decisions; 2022, 32, 3; 65--79
2081-8858
2391-6060
Pojawia się w:
Operations Research and Decisions
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analiza porównawcza prognozowania produkcji budowlanej z zastosowaniem metod regresji krokowej, sieci neuronowych i ARIMA
Comparative analysis of building production forecasting using regression, neural networks and ARIMA methods
Autorzy:
Rogalska, M.
Hejducki, Z.
Powiązania:
https://bibliotekanauki.pl/articles/347484.pdf
Data publikacji:
2010
Wydawca:
Akademia Wojsk Lądowych imienia generała Tadeusza Kościuszki
Tematy:
prognozy
produkcja budowlano-montażowa
regresja krokowa
sieci neuronowe
ARIMA
forecast
building and assembling production
regression
neural networks
Opis:
W pracy analizowano możliwość prognozowania produkcji budowlano montażowej województwa dolnośląskiego metodami regresji, sieci neuronowych i ARIMA (Autoregressive Integrated Moving Average - autoregresyjny zintegrowany proces średniej ruchomej). Do prognozowania w metodzie regresji użyto danych pogodowych dziennych województwa dolnośląskiego. Potencjalne predyktory eliminowano, sprawdzając normalność ich rozkładów (testami Kołmogorowa- Smirnowa, Lilliefoesa i Chi kwadrat),warunek braku korelacji między zmiennymi (współczynnik korelacji) oraz warunek równości wariancji pomiędzy zmiennymi (testy Levene’a i Browna-Forsythe’a). Do obliczeń metodą sieci neuronowych użyto sieci MLP i RBF, wprowadzając wszystkie uzyskane dane pogodowe. W metodzie ARIMA prognozowanie odbywało się na podstawie wartości statystycznych z lat poprzednich. Przeprowadzono analizę wyników, obliczając błędy ME, MAE, MPE i MAPE. Zaproponowano kierunek dalszych badań.
The study analyzed the possibility of forecasting of Lower Silesia building production using regression, neural networks and ARIMA methods. For the forecasting regression method, daily weather data of Lower Silesia were used. Potential predictors were eliminated by checking the following: the normality of their distributions (Kolmogorov-Smirnov , Lilliefoes and Chi square tests), the condition of absence of correlation between variables (correlation coefficient) and the condition of equality of variance between the variables (Levene, Brown-Forsythe tests). To perform calculations with the neural networks method, MLP and RBF networks were used by entering all the weather data obtained. In the case of the ARIMA method, forecasting was carried out on the basis of statistical values from previous years. An analysis of errors was performed by calculating ME, MAE, MPE and MAPE errors. The direction of further research was proposed.
Źródło:
Zeszyty Naukowe / Wyższa Szkoła Oficerska Wojsk Lądowych im. gen. T. Kościuszki; 2010, 3; 282-295
1731-8157
Pojawia się w:
Zeszyty Naukowe / Wyższa Szkoła Oficerska Wojsk Lądowych im. gen. T. Kościuszki
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The safety and efficiency of water transport: statistical analysis
Autorzy:
Maternová, Andrea
Materna, Matúš
Powiązania:
https://bibliotekanauki.pl/articles/2203886.pdf
Data publikacji:
2022
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
water transport
safety
regression
Danube
Covid-19 pandemic
transport wodny
bezpieczeństwo
regresja
Dunaj
Pandemia Covid-19
Opis:
This paper provides comprehensive research on the linearity between the efficiency and safety of inland waterway transport (IWT). For this purpose, methods of statistical analysis are used. The efficiency of IWT is expressed by the transportation outputs, which today are strongly affected by the COVID-19 pandemic. This paper aims to find whether the demand for IWT has an impact on the accident occurrence probability. The results show the linearity between shipping accidents and the outputs of freight and passenger IWT. The COVID-19 crisis has a higher impact on the efficiency of passenger navigation than on freight navigation. With reduced demand, the level of safety is higher but at the cost of declining efficiency in the transport sector.
Źródło:
Transport Problems; 2022, 17, 2; 81--92
1896-0596
2300-861X
Pojawia się w:
Transport Problems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Assessment of the stability of mercury concentrations in municipal waste using data science tools
Autorzy:
Jędrusiak, Radosław
Chuchro, Monika
Bielowicz, Barbara
Gielar, Agnieszka
Powiązania:
https://bibliotekanauki.pl/articles/2202857.pdf
Data publikacji:
2023
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
mercury
municipal waste
trend analysis
regression
seasonality
stability
Opis:
Mercury and its compounds are among the most dangerous and toxic substances in the environment. As part of the study, several exploratory analyses and statistical tests were conducted to demonstrate how low and stable mercury content is in municipal waste. A statistical analysis of the mercury content in waste (waste codes 19 12 12 and 20 03 01) was carried out using advanced IT tools. Based on 32 results for each waste, the maximum mercury concentration was 0.062 mg/kg dry weight (EWC code 19 12 12) and 0.052 mg/kg dry weight (EWC code 20 03 01). The analysis, data inference, and modeling were performed according to the CRISP-dm methodology. The results obtained were compared with the maximum allowable mercury concentrations for agricultural soils (2 mg/kg dry weight) and the provisions of the Minamata Convention (1 mg/kg). The average, median, and maximum observed mercury concentrations in waste are significantly lower than the assumed levels of 2 mg/kg (permissible concentrations for II-1 soils) and 1 mg/kg (Minamata Convention). The stability of mercury content in waste was examined. Descriptive statistics, statistical tests, and regression modeling were used. The tests and analyses performed showed an insignificant variation in the mercury content of the wastes with codes 19 12 12 and 20 03 01. No trend or seasonality was observed. The analyses and tests performed confirmed that the data are stable, and the values are low.
Źródło:
Geology, Geophysics and Environment; 2023, 49, 1; 71--83
2299-8004
2353-0790
Pojawia się w:
Geology, Geophysics and Environment
Dostawca treści:
Biblioteka Nauki
Artykuł
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