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    Wyświetlanie 1-4 z 4
    Tytuł:
    Wielowymiarowa analiza porównawcza jako narzędzie oceny spółek deweloperskich notowanych na GPW
    Multivariate comparative analysis as a toolto evaluate the development of companies listed on the Warsaw Stock Exchange
    Autorzy:
    Chrzanowska, Mariola
    Zielińska-Sitkiewicz, Monika
    Powiązania:
    https://bibliotekanauki.pl/articles/425133.pdf
    Data publikacji:
    2013
    Wydawca:
    Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
    Tematy:
    Ward’s method
    k-means method
    Polish developer companies
    Opis:
    The diversity and multiplicity of information associated with investment in the stock market can cause problems with the proper understanding of the analyzed phenomena. In particular it refers to small investors who invest directly in stocks. Therefore, evaluating the financial condition of listed companies is very important, hence the need to use methods that will simplify and thus make stock market analysis easier. This paper presents an attempt to apply the selected financial ratios for the classification of 17 real estate companies listed on the Warsaw Stock Exchange into groups characterized by a similar economic condition. In the study multidimensional comparative analysis was used, i.e. Ward’s method and the method of k-means. The analysis was carried out in the period 2010-2012. In the experiment it was proved that using Ward’s method could identify companies with the weakest condition.
    Źródło:
    Econometrics. Ekonometria. Advances in Applied Data Analytics; 2013, 4(42); 60-71
    1507-3866
    Pojawia się w:
    Econometrics. Ekonometria. Advances in Applied Data Analytics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Segmentacja facebookowiczów - ujęcie ilościowe
    Segmentation of Facebook users – quantification
    Autorzy:
    Czerska, Iwona
    Powiązania:
    https://bibliotekanauki.pl/articles/419807.pdf
    Data publikacji:
    2015
    Wydawca:
    Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
    Tematy:
    segmentation
    Facebook users
    Ward’s method
    k-means method
    segments profiling
    Opis:
    The purpose of this study is the statistical analysis of results of the online survey in order to make market segmentation of Facebook users. Non-random sampling methods were used: convenience sampling and snowball sampling method. Because the sample was not representative, it did not give rise to statistical inferences about the population of Facebook users. The survey results were only part of the initial diagnosis, a description of the existing state of affairs. On the basis of selected market segmentation criteria and using the generalized k-means clustering algorithm and the Ward agglomeration method three clusters were formed: “Informed over-cautious persons” (56,31% of the sample), “Committed risktakers” (20,39% of the sample) and “Persistent assertive people” (23,30% of the sample). Segments were profiled on the basis of psychographic and behavioral criteria. The statistical significance of the relationship between clusters of Internet users and individual variables was confirmed by the chi-square test.
    Źródło:
    Nauki o Zarządzaniu; 2015, 3 (24); 33-40
    2080-6000
    Pojawia się w:
    Nauki o Zarządzaniu
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Cluster analysis of effectiveness of labour market policy in the European Union
    Autorzy:
    Rollnik-Sadowska, Ewa
    Dąbrowska, Edyta
    Powiązania:
    https://bibliotekanauki.pl/articles/18800477.pdf
    Data publikacji:
    2018
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    labour market policy expenditure
    effectiveness
    efficiency
    Ward’s method
    k-means method
    Opis:
    Research background: In the era of demographic changes and the need for rationalization of public expenditure, the European Union social policy promotes the activation approach. In addition, a growing importance of increasing the effectiveness and efficiency of public entities can be noticed. These phenomena are visible in the implementation of the labour market policy. However, the EU countries represent a different approach to spending public funds on issues related to the implementation of  labour market policy. Purpose of the article: The authors are presenting the main theoretical assumptions concerning effectiveness and efficiency of labour market policy. Moreover, in the paper the EU countries are classified in clusters according to their level of expenditure on different categories of LMP. A comparison of the situation over ten years - in 2004 and 2014 - has also been conducted. In 2004, ten new members entered the EU, and the year 2014 presents the most current data in the analyzed area. Methods: As a research method cluster analysis was applied. Cross-country labour market situation throughout the EU is presented by the analysis of the Eurostat data. The countries are grouped in clusters following Ward's and k-means methods. Findings & Value added: There is a need to work out a complex evaluation of labour market policies in the EU to provide comparative analysis of the EU countries (or groups of countries). It would allow to determine the level of development of the country in terms of the efficiency of labour market policies. The EU countries with the best labour market indicators represent diverse levels of LMP expenditure.
    Źródło:
    Oeconomia Copernicana; 2018, 9, 1; 143-158
    2083-1277
    Pojawia się w:
    Oeconomia Copernicana
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Analysis of data quoted on the Day-Ahead Market of TGE S.A. using Statistics and Machine Learning Toolbox
    Autorzy:
    Tchórzewski, Jerzy
    Longota, Bartłomiej
    Powiązania:
    https://bibliotekanauki.pl/articles/2201615.pdf
    Data publikacji:
    2022
    Wydawca:
    Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
    Tematy:
    artificial neural network
    cluster analysis
    Day-Ahead Market
    k-means method
    Matlab and Simulink environment
    Statistics and Machine Learning Toolbox
    Ward’s method
    Opis:
    The publication contains the results of research in the field of cluster analysis carried out using data quoted on the Day-Ahead Market of TGE S.A. Two methods were used in the analysis, one hierarchical known as the Ward’s method, and the other non-hierarchical - the k-means method. Many interesting research results have been obtained, which are illustrated, among others, in in the form of dendrograms, silhouette graphs and graphs in the form of clusters. Data on the volume and the volumeweighted average price of electricity were examined for various types of quotations: fixing 1, fixing 2 and continuous quotations. The research was carried out in the MATLAB and Simulink environments using a library called Machine and Statistics Learning Toolbox. Selected test results were interpreted.
    Źródło:
    Studia Informatica : systems and information technology; 2022, 2(27); 49--74
    1731-2264
    Pojawia się w:
    Studia Informatica : systems and information technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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