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Judgement of personality based on recordings of dance and gait (obtained using Motion Capture)
Vávra, Jan ; Lindová, Jitka (advisor) ; Krejčová, Lucie (referee)
Judgement of personality based on recordings of dance and gait (obtained using Motion Capture) This study raises the question if it is possible to assess personality traits based on body movement while dancing and walking if we isolate movement from other non-verbal cues. The theoretical part of the study lists theoretical concepts associated with this question and summarizes previous research on the subject. The main part of this study is empirical research: the movement of 21 women was filmed using Motion Capture technology which captures human movement by recording the coordinates of key segments of the body. A virtual female character was used to re-create the movement of the research participants. The resulting footage was then presented to 187 raters, who scored segments of it on two sets of personality scales. The comparison of the raters' scores and self-assesed personality of the participant is subject to the analytical part of this study. The results showed several correlations between assesments of personality traits and self-assesed personality traits, but those were never the same traits (i. e. extraversion was never recognized as extraversion, but possibly manifested itself thorugh ratings of other traits). We also found several more general factors on which the raters' assessments of...
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Empirical analysis of the effectiveness of English Premier League football clubs in the 2019/20 season
Smola, Vojtěch ; Gregor, Martin (advisor) ; Vávra, Jan (referee)
This paper focuses on an empirical analysis of the efficiency of English Premier League football clubs. Scholarly papers, that have focused on this topic previously, have reached different conclusions. The aim of this thesis is to show whether clubs manage to spend their finances efficiently or not, and furthermore to identify the most efficient teams. For this purpose, we have used data from 2019/20 season. We focus on club expenditure (players' and other staff salaries, advertising, new player purchases) and income (tickets, broadcasting rights, sponsors and how many points they earned in this season. We will also take note of the capacity of the stadium. The method used was data envelopment analysis with the CCR model, which is input-oriented, and the BCC model, which uses variable returns to scale, as they are the most appropriate for this purpose. The results show that big clubs or teams successful internationally are not more efficient than other league teams. The inefficiency is primarily due to poor use of resources, but also by the global pandemic of Covid-19.
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A case study of physiotherapeutic treatment of a patient with total endoprothesis of the left knee joint
Vávra, Jan ; Maršáková, Kateřina (advisor) ; Sohrová, Jana (referee)
Title: A case study of physiotherapeutic treatment of a patient with total endoprothesis of the left knee joint Objectives: The aim of the thesis is to process a case study of physiotherapeutic treatment of a patient with total endoprothesis of the left knee joint. The case study was made during practise in the CLPA in Prague, based on the theoretical knowledge processed in the first part of the thesis. Methods: The case study consists of initial kinesiological examination, short-term and long- term physiotherapeutical plan, suggestion of therapy, nine described therapeutic units, final kinesiological examination and evaluation of the therapy effects. Results: Evaluation of the therapy effects clarifies positive improvement in the most key values. Keywords: knee joint, total endoprothesis, alloplasty, gonarthrosis, physiotherapy, case study
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Truncated data
Redek, David ; Pešta, Michal (advisor) ; Vávra, Jan (referee)
This thesis deals with truncated distributions. Firstly, the case of the truncated normal distribution is analyzed in detail. Two estimation methods are described - method of moments and maximum likelihood - together with the discussion of their properties and confidence region construction. A more advanced method - Bayes estimator - is briefly presented. Secondly, the truncated gamma distribution is analyzed, however, in less detail than the normal case. The theoretical part is closed with a method for estimating truncation boundaries when not even those are known. Throughout the thesis, results from multiple articles by various authors are summarized and presented in a unified notation. The numerical part deals with the analysis of a real dataset, describing the height of soldiers in the U.S. Army. The built theory is transformed into R code and executed, indicating the correctness of our theoretical results. 1
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Determinants of Football Players' Market Value
Cvrček, Jan ; Kalabiška, Roman (advisor) ; Vávra, Jan (referee)
This thesis investigates determinants of football players' market value in the top 5 European leagues. It focuses on the differences among defenders, midfielders and forwards. Moreover, it extends the existing knowledge by delving into the unexplored world of goalkeepers. Using the ordinary least squares method on a sample from season 2018/19, it finds several significant factors, such as goals, assists and passes accuracy. The results show that defenders seem to receive more credit for just joining the match than midfielders and forwards, indicating that the latter group is thereby expected to bring added value on the pitch. Furthermore, goalkeepers seem to reach their turning point at the age of 22.4, which is similar to the field players. Nevertheless, the peak was anticipated to be distinctly higher for goalkeepers, making this outcome surprising. Lastly, the set of the significant variables explaining the goalkeepers' market values comprises, for instance, received goals to 90 minutes ratio and team rank at the end of the season, while the proportion of successful saves turned out to be insignificant. Therefore, their market values appear to be driven to a greater extent by the overall team performance than by the statistics directly related to them. All the findings were subject to the...
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Graphical Simulator of Superscalar Processors
Vávra, Jan ; Mrázek, Vojtěch (referee) ; Jaroš, Jiří (advisor)
Práce se zabývá implementací simulátoru superskalárního procesoru. Implementace se odvíjí od existujících simulátorů a jejich chybějících částí. Simulátor umí vykonávat instrukční sadu RISC-V, ovšem je umožněno přidání jakékoli RISC instrukční sady. Simulátor má deterministickou predikci skoku. Části procesoru lze upravovat. Součástí je i editor kódu pro danou instrukční sadu.
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Determinants of divorce: Evidence from the Czech Republic
Kolářová, Natálie ; Votápková, Jana (advisor) ; Vávra, Jan (referee)
This bachelor thesis examines the determinants of divorce in the Czech Republic. Based on data on regional statistics that are publicly available by the Czech Statistical Office, it aims at explaining the variation in the crude divorce rate among the Czech districts and identifying its most important determinants. The main contribution of the present thesis is an econometric analysis of the latest panel data. A panel data of 77 cross-sectional units (districts) observed between 2004-2018 are analysed using a fixed effects panel data model. The results of the macroeconomic analysis reveal that the crude divorce rate is higher in districts with relatively more marriages, abortions and job applicants. Likewise, higher natural population increase and criminality cause a higher divorce rate. On the contrary, relatively more physicians and lower education level decrease the divorce rate. However, the majority of variation explained by the model has roots in unobserved factors - individual and time effects. Surprisingly, Prague is not recognised as an outlier since the results appear comparable for both its inclusion and exclusion. JEL Classification C33, J12 Keywords divorce, marriage, Czech Republic, regional analysis Title Determinants of divorce: Evidence from the Czech Republic
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Automation of RC Models Control
Vávra, Jan ; Musil, Petr (referee) ; Zemčík, Pavel (advisor)
This thesis is about controlling RC model with microcontroller ESP-32 through WiFi enabled mobile device with OS Android. Goal of this thesis is to make controlling RC model easier and more fun. Parts of this thesis are dealing with using pulse width modulation to control servos, creating a user interface and making a protocol for comunication between RC model and mobile device. Result of this work is application on OS Android, which sends instructions on microcomputer, that controls steering servo and elecromotor. System has predefined stunts on microcomputer and operator has a choice of defining custom stunt in application, which is send to microcomputer in series of individual instructions.
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Public Preferences for Environmental Policies and Behavioural Changes
Zvěřinová, Iva ; Vinopal, Jiří (advisor) ; Vávra, Jan (referee) ; Šauer, Petr (referee)
Iva Zvěřinová PhD Thesis Public Preferences for Environmental Policies and Behavioural Changes Abstract Environmental problems, such as climate change, are generally perceived as serious issues by the public in European countries. However, people tend to assign them a low policy priority and disagree with the introduction of some policy instruments, such as carbon tax. Few people also behave in an environmentally friendly way and reduce greenhouse gas emissions. What are the preferences of the inhabitants of several European countries regarding climate mitigation policies and behavioural changes? What makes these policies more acceptable for the public? Would people from these countries be willing to accept climate mitigation policies or behaviour, and if so, under what conditions? This thesis aims to answer these questions by applying a theoretical framework that integrates attitudes and perceptions with preferences. In the empirical part of the thesis, we analyse data from several questionnaire surveys on public responses to climate policies and climate-related behaviours in several European countries. The thesis contains four empirical studies focusing on: i. public preferences for climate mitigation policies; ii. public preferences for policy instruments to reduce GHG emissions; iii. consumers'...
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Bayesian factor analysis
Vávra, Jan ; Komárek, Arnošt (advisor) ; Maciak, Matúš (referee)
Bayesian factor analysis - abstract Factor analysis is a method which enables high-dimensional random vector of measurements to be approximated by linear combinations of much lower number of hidden factors. Classical estimation procedure of this model lies on the cho- ice of the number of factors, the decomposition of variance matrix while keeping identification conditions satisfied and on the appropriate choice of rotation for better interpretation of the model. This model will be transferred into bayesian framework which offers the usage of prior information unlike the classical appro- ach. The number of hidden factors can be considered as a random parameter and the dependency of each measurement on at most one factor can be forced by suitable specification of prior distribution. Estimates of model parameters are based on posterior distribution which is approximated by Monte Carlo Markov Chain methods. Bayesian approach solves the problem of selection of the num- ber of factors, the model estimation and the ensuring of the identifiability and the interpretability at the same time. The ability to estimate the real number of hidden factors is tested in a simulation study. 1
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