Hana Řezanková

Prague University of Economics and Business | VŠE · Department of Statistics and Probability

Research background Universally, it remains unknown which clauses used in international sales contracts are seen by the business sector as crucial for reducing perceived risks. It is also unknown whether there is a relationship between companies’ attitudes toward risks and the number of clauses they consider essential in international sales contrac...

This paper aims to analyse consumers’ perceptions and attitudes towards natural cosmetic products from three Central European countries. In this study, we employed quantitative surveys on samples of 230 Czech, 175 Slovak, and 325 Polish respondents. Based on the obtained data, we investigate whether and how the respondents’ country impacts how they...

The paper discusses eleven internal evaluation criteria that can be used in the area of hierarchical clustering of categorical data. The criteria are divided into two distinct groups based on how they treat the cluster quality: variability- and distance-based. The paper follows three main aims. The first one is to compare the examined criteria rega...

By employing surveys, this paper aims to conduct a cross-national comparison of ethnocentric behaviour in three neighbouring countries in the Central European region. The level of ethnocentrism, expressed by a reduced CETSCALE, is measured and assessed using six demographic indicators and four products. Responses to the reduced CETSCALE show that P...

Dealing with missing data is a crucial part of everyday data analysis. The IMIC algorithm is a missing data imputation method that can handle mixed numerical and categorical datasets. However, the categorical data are crucial for this work. This paper proposes the new improvement of the IMIC algorithm. The two proposed modifications consider the nu...

The paper examines how Czech consumers perceive CSR. A literature review shows that there is a large research gap in this area. An established model introduced by Maignan (2001) and promoted by other researchers is used to assess the issue. Namely, consumer support for responsible business and consumer evaluation of corporate social responsibility...

In this paper, we present the second generation of the nomclust R package, which we developed for the hierarchical clustering of data containing nominal variables (nominal data). The package completely covers the hierarchical clustering process, from dissim-ilarity matrix calculation, over the choice of a clustering method, to the evaluation of the...

Purpose The aim of the paper is to explore how Chinese consumers perceive the quality of cosmetics products and if the Chinese youth differs in the perception from older generations. The paper fills the current research gap in revealing which intrinsic and extrinsic parameters are the most and least associated with cosmetic products’ quality by you...

This paper aims at finding out what effort logistics-related companies based in the Slovak Republic demonstrate, concerning their social responsibility. Using a standardized questionnaire, addressing approximately 30 issues from the field of social responsibility, grouped in five categories, we approached over 100 members of the Association of Logi...

The goal of the paper is to assess how Czech businesses have been impacted by the sanctions and countersanctions and their opinions on the issue. Companies being members of the Chamber of Trade and Industry for CIS Countries were addressed. From the surveyed companies that traded with Russia before 2014 and are currently engaged in trade with Russi...

The aim of this paper is to present how countries can be compared on the basis of the development of selected macroeconomic indicators. The economic similarity of the four founding Mercosur countries (i.e., Argentina, Brazil, Paraguay, and Uruguay), based on the development of five selected macroeconomic indicators in the period 1991–2016, is inves...

The paper focuses on similarity and distance measures for binary data and their application in cluster analysis. There are 66 measures for binary data analyzed in the paper in order to provide a comprehensive insight into the problematics and to create their well-arranged overview. For this purpose, formulas by which they were defined are studied....

This paper focuses on hierarchical clustering of categorical data and compares two approaches which can be used for this task. The first one, an extremely common approach, is to perform a binary transformation of the categorical variables into sets of dummy variables and then use the similarity measures suited for binary data. These similarity meas...

This paper deals with similarity measures for categorical data in hierarchical clustering, which can deal with variables with more than two categories, and which aspire to replace the simple matching approach standardly used in this area. These similarity measures consider additional characteristics of a dataset, such as a frequency distribution of...

The paper compares 11 internal evaluation criteria for hierarchical clustering of categorical data regarding a correct number of clusters determination. The criteria are divided into three groups based on a way of treating the cluster quality. The variability-based criteria use the within-cluster variability, the likelihood-based criteria maximize...

This paper thoroughly examines three recently introduced modifications of the Gower coefficient, which were determined for data with mixed-type variables in hierarchical clustering. On the contrary to the original Gower coefficient, which only recognizes if two categories match or not in the case of nominal variables, the examined modifications off...

Objective: The study goal was the investigation of relationships between accelerated internationalisation descriptors and antecedent firm-and entrepreneur-related factors in Polish and Czech SMEs. Research Design & Methods: In order to compare Polish and Czech companies, the data collected in two independent studies were used. The study of 233 Pol...

Title in English: Relationship of Gender Gap, Competitiveness and Sustainability of Economy – Position of the Czech Republic in International Comparison. The article examines the relationships between selected gender and economic indicators ofchosen countries (OECD countries, EU countries, associate members of OECD and high-incomecountries) and ev...

The paper attempts to assess the added value of women in management in the context of the Czech Republic. The wider purpose is to contribute to the debate for the need of gender-balanced top managerial teams. It additionally contributes new inputs to the discussion as to whether quotas or other special measures are relevant to promote or engage mor...

We compare four methods for Boolean matrix factorization (BMF). The oldest of these methods is the 8M method implemented in the BMDP statistical software package developed in the 1960s. The three other methods were developed recently. All the methods compute from an input object-attribute matrix I two matrices, namely an object-factor matrix A and...

Clustering of objects characterized by nominal (categorical) variables is not still sufficiently solved in software systems. Most of them provide only hierarchical cluster analysis with one basic similarity measure for nominal data, the simple matching coefficient, which provides worse results than clustering based on some of recently proposed meas...

This paper compares two approaches to dimensionality reduction in datasets containing categorical variables: hierarchical cluster analysis (HCA) with different similarity measures for categorical data, and categorical principal component analysis (CATPCA), which represents a model based approach with latent variables. Each approach has its pros and...

This paper focuses on recently proposed similarity measures and their performance in categorical variable clustering. It compares clustering results using three recently developed similarity measures (IOF, OF and Lin measures) with results obtained using two association measures for nominal variables (Cramér's V and the uncertainty coefficient) and...

International convergence of accounting standards is not a new idea. The concept of convergence first arose in the late 1950s in response to post World War II economic integration and related increases in cross-border capital flows. Initial efforts focused on harmonization, or reducing differences among accounting principles used in major capital m...

The paper aims to ascertain the level of harmonization of accounting in small and medium enterprises in the Czech Republic and the impacts arising from the harmonization process. On the basis of the conducted survey, companies show a reserved interest in reporting according to IFRS. As a decisive reason for adopting IFRSs as a reporting framework f...

The article focuses on the economic situation of households in the Czech Republic. It discusses the factors of the material deprivation rate and related indicators. These factors are household equipment, other indicators of financial possibilities and inability to pay regular payments on time. This article is based on the Living Conditions Survey i...

The system containing silver nanoparticles (similar to 45 nm) and L-cysteine at the concentration range from 10(-9) to 10(-2) mol L-1 was studied by absorption and electronic circular dichroism spectroscopy in the UV-vis range and surface enhanced Raman spectroscopy at different pH and ionic strength. By later one the presence of L-cysteine was cle...

In the paper we deal with evaluation of the results of cluster analysis which is applied to data files in which objects are characterized qualitative variables. We describe methods of clustering, determination of optimal cluster numbers, and evaluation of obtained clusters implemented in the procedure for two-step cluster analysis in the SPSS stati...

Studied are differences of two approaches targeted to reveal latent variables in binary data. These approaches assume that the observed high dimensional data are driven by a small number of hidden binary sources combined due to Boolean superposition. The first approach is the Boolean matrix factorization (BMF) and the second one is the Boolean fact...

Gold nanoparticles synthesized using citrate reduction method were modified by cysteine at various concentrations. The cysteine-capped nanoparticles were analyzed by UV–vis absorption spectroscopy in the presence of various concentrations of sodium chloride. At higher concentration of sodium chloride the aggregation occurred. Measured spectra were...

This chapter provides a survey of some clustering methods relevant to clustering Web elements for better information access. We start with classical methods of cluster analysis that seems to be relevant in approaching the clustering of Web data. Graph clustering is also described since its methods contribute significantly to clustering Web data. Th...

The paper focuses on competitiveness of the Prague University of Economics´ graduates from the point of view of competence levels. The aim was to compare the achieved and required levels of competences evaluated by graduates. We analyzed the data collected within the international projects REFLEX 2006 and REFLEX 2010. We only analyzed responses of...

Bars problem is widely used as a benchmark for the class of feature extraction tasks. In this model, artificial data set is generated as a Boolean sum of a given number of bars. We show that the most suitable technique for feature set extraction in this case is neural network based Boolean factor analysis. Results are confronted with several dimens...

In this paper, the web pages concerning products sale are analyzed with the aim to create clusters of similar web pages and characterize these by GUI patterns. We applied GD-CLS (gradient descent - constrained least squares) method which combines some of the best features of other methods. Both traditional methods for searching clusters and nonnega...

The chapter provides a survey of some clustering methods relevant to the clustering document collections and, in consequence, Web data. We start with classical methods of cluster analysis which seem to be relevant in approaching to cluster Web data. The graph clustering is also described since its methods contribute significantly to clustering Web...

2. vyd.

The contribution describes some possible solutions for finding overlapping clusters of binary variables. The first approach applies standard statistical procedures, the second uses developed Hopfield-like neural network. In the first case, we suggest applying factor analysis or multiple correspondence analysis and interpreting the factor loading ma...

This chapter provides a survey of some clustering methods relevant to clustering document collections and, in consequence, Web data. We start with classical methods of cluster analysis that seem to be relevant in approaching the clustering Web data. Graph clustering is also described since its methods contribute significantly to clustering Web data...

Document and information retrieval (IR) is an important task for Web communities. In this chapter, we introduce some clustering methods and focus on their use for the clustering, classification, and retrieval of Web documents.

This paper describes and compares some possible solutions on how to use standard statistical procedures, blind search, formal concepts, Hopfield-like neural network, and genetic algorithms for finding overlapping binary factors. The application of factor analysis as a base for further investigation and interpretation of the factor loading matrix by...

Vyd. 1. 200 výt. Nad názvem: Vysoká škola ekonomická v Praze, Fakulta informatiky a statistiky Určeno pro bakalářské studium na VŠE Praha

Cílem příspěvku je ukázat stávající možnosti řešení úlohy booleovské faktorizace jako nástroje pro redukci dimenze informačního prostoru. Ukázány jsou možnosti využití standardních statistických metod implementovaných v statistických programových systémech a kombinatorického přístupu. Je provedena analýza původní architektury neuronové sítě speciál...

Analysis of fatty acids by gas chromatography-mass spectrometry (GC-MS) using serially coupled capillary columns with different polarity of stationary phases is reported. More than 40 volatile compounds, including, low molecular, dioic and fatty acids were determined of two marine green algae Codium dwarkense and C. taylorii. There are large variat...

The problem of binary factorization of complex patterns in recurrent Hopfield-like neural network was studied by means of computer simulation. The network ability to perform a factorization was analyzed against the growing number and sparseness of factors mixed in presented patterns. Binary factorization in sparsely encoded Hopfield-like neural net...

This paper describes a project, which aims at the creation of a database of indicators and models of the Czech economy. Datasets with time series in a form convenient for analysis are prepared and analysis results are published on a website. Information about the statistical computational environment is also provided.

Fatty acids and triacylglycerols from Argania tree seeds (argania oil) were identified. Common fatty acids and triacylglycerols were quantified using gas chromatography on a capillary column. A frequent adulteration of some kinds of argania oil was determined using statistical methods. Hierarchical cluster analysis clearly distinguished between oil...

In this paper, we compare performance of novel neural network based algorithm for Boolean factor analysis with several dimension reduction techniques as a tool for feature extraction. Compared are namely singular value decomposition, semi-discrete decomposition and non-negative matrix factorization algorithms, including some cluster analysis method...

In this paper we compare the performance of several dimension reduction techniques which are used as a tool for feature extraction. The tested methods include singular value decomposition, semi-discrete decomposition, non-negative matrix factorization, novel neural network based algorithm for Boolean factor analysis and two cluster analysis methods...

Questionnaire survey data are usually characterized by a great amount of ordinal variables. For multivariate analysis, it is suitable to reduce task dimensionality. The aim of this paper is a comparison of the results obtained by the analysis of data files with ordinal variables using selected methods for dimensionality reduction. The results are i...

The paper describes one approach how to investigate relationships between selected housing characteristics and household types on the basis of relative frequencies observed in the individual household types. Description techniques using odds ratio, logistic regression and logit model are applied to the data from the household budget survey realized...

The paper focuses on the application of coefficients of asymmetric dependence for nominal and ordinal variables. Data obtained on the basis of the EU-SILC (European Union – Statistics on Income and Living Conditions) survey in 2008 were analyzed. Dependence is investigated for pairs of nominal variables (equipment of households with durables and ho...

4 Katedra statistiky a pravděpodobnosti, VŠE Praha nám. W. Churchilla 4 , 130 67 Praha 3 rezanka@vse.cz Abstrakt. Tutoriál 1 by měl podat přehled o současných formálních metodách používaných v oblasti vyhledávání informací (Information Retrieval) se zaměřením na rozsáhlé kolekce dat. 1 Úvod Rozsah zpracovávaných kolekcí dokumentů, se v poslední dob...

Abstrakt. The current classification methods are categorized. Their theore-tical capabilities are discussed. The work includes the classification of cases, variables and categories. Moreover, implementation of these methods in six sta-tistical packages (MINITAB, S-PLUS, SPSS, STATGRAPHICS, STATISTICA and SYSTAT) and their additional software system...

1. vyd Rozmn

1. vyd Rozmn

Vyd. 1. Text též angl. a slo.

Vyd. 2. 60 výt. Nad názvem: Vysoká škola ekonomická v Praze, Fakulta informatiky a statistiky Určeno pro magisterské studium na VŠE Praha

Vyd. 1. Terminologický slovník

Vyd. 1. Nad názvem: Vysoká škola ekonomická v Praze, Fakulta informatiky a statistiky 200 výt. Pro bakalářské studium na VŠE v Praze

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