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Application of demographic analysis in human resources management: A Case study on elite floorball players
Baťková, Markéta ; Hulíková Tesárková, Klára (advisor) ; Janáková Kuprová, Barbora (referee)
Application of demographic analysis in human resources management: A Case study on elite floorball players Abstract This bachelor's thesis focuses on the possibilities of how to apply demographic analysis in the field of human resources management. Part of the work is also a case study which focuses on elite floorball players. The goal of this thesis is to introduce the concept of human resource management in general and to describe the possibilities of applying demographic analysis to other than just ordinary human populations on a theoretical level. The objectives of the case study include, among other things, demonstrating the different career times between men and women. The case study uses individual data of the 100 historically best male floorball players and 100 historically best female floorball players in the Czech Republic. Among the main methods used in demography and human resource management and also in sports are the construction of life tables and survival analysis. In the case study, statistically significant differences were found in the duration of the careers between men and women and in the average ages at the end of the career and in the average ages of achieving indivually best season. Keywords Human Resource Management, Workplace Diversity, Age, Sports, Applied Demography, Life...
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Social mobility of elites in the second half of the 19th century
Vlasák, Filip ; Velková, Alice (advisor) ; Klečacký, Martin (referee)
Social mobility of elites in the second half of the 19th century Abstract This thesis deals with the social mobility of senior civil servants in a very dynamic period in terms of the development of political administration in the lands of the Bohemian Crown, namely in the second half of the 19th and the beginning of the 20th century. The aim of the thesis is to analyse and describe the change in the structure of civil servants according to their social origin, to statistically determine the significant factors that influenced the age of a civil servant when he or she first took up the post of district captain and to determine whether this age was prolonged during the period under study. The analysis was conducted using data from the EXPRO 2020 research database. The results show that officials with influential social backgrounds were almost twice as likely to become district governors at a younger age than officials from lower social class backgrounds. The main results of the paper are formulated in the conclusion, which in addition to the above, discusses what effect marrying a wife from an influential background had on an official's social mobility, or how long it took an official to climb the career ladder to become a district captain after successfully graduating from university, and what factors may...
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Patent Value Determinants
Štefánková, Stanislava ; Korytárová, Jana (referee) ; Němec, Daniel (referee) ; Polednáková, Anna (referee) ; Režňáková, Mária (advisor)
The dissertation extends the line of research in the field of patent valuation by interconnecting two main strands, the evaluation of quality of patent rights based on their characteristics on one hand, and monetary valuation of patents as assets on the other hand. Moreover, the dissertation proposes and verifies the idea that the value of a patent is driven also by the ability of its owner to use the competitive advantage gained. The aim is to identify characteristics of Czech corporate patents and their owners that affect their value and to propose a way to implement this knowledge in monetary patent valuation. The effect of several ex ante and ex post indicators on patent's life was analysed employing survival analysis methods. Factors that significantly affect the lifespan of patents of Czech companies were identified using the Cox proportional hazard model. The company’s ability to benefit from competitive advantage was measured by its return on assets and return on equity, which were described by a linear mixed model. Finally, the combined effect of patent characteristics and the firm’s ability to materialize the competitive advantage on patent renewal was analysed employing the joint model for longitudinal and censored data. The results revealed positive effect on the chance of patent renewal of patent backward citation, and the concordance level between patents' technological-class codes and those of their antecedent, i.e., documents it refers to. Conversely, the size of the patent portfolio and the number of inventors have a negative effect on the chance of patent renewal. Small and medium businesses’ patents are less likely to be renewed. The effect of the patent family size, the age of the company and the patent pendency time is time-dependent, it initially lowers the chance of renewal, but its strength gradually weakens. The economic life of patents was predicted based on the results of the joint model using Monte Carlo simulation, furthermore, the implications for monetary patent and business valuation were discussed regarding its investment value.
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Exercise-based predictors of atrial fibrillation recurrence in patients undergoing catheter ablation.
Mátych, Martin ; Pešl, Martin (referee) ; Hejč, Jakub (advisor)
Atrial fibrillation (AF) is the most frequently treated heart arrhythmia. Radiofrequency catheter ablation is a treatment option with a success rate ranging from 60 % to 80 % for paroxysmal AF. This work aimed to determine parameters associated with AF recurrence to identify high-risk patients. Data from 98 patients who underwent pulmonary vein isolation were analyzed. Out of these patients, 19 experienced AF recurrence. Exercise and echocardiographic parameters differed significantly between the recurrence and non-recurrence groups and were used in regression analysis. Peak oxygen consumption (pVO2) was found to be a strong predictor of AF recurrence after adjusting for gender and age (hazard ratio 0.43). Four parameters were identified as the ideal combination in multivariable analysis: pVO2, septal peak late diastolic mitral annulus velocity, post-exercise systolic blood pressure, and left atrial volume index. These findings highlight the importance of stress and echocardiographic parameters in predicting the success of ablation procedures.
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Analysis of incidence of competting risks and application of copula models
Hujer, Peter ; Volf, Petr (advisor) ; Dvořák, Jiří (referee)
This thesis first introduces the basic notions of univariate survival analysis. Then the survival analysis setting is extended to competing risk models, i.e. the cases considering several events of interest or several causes of one event. In the competing risk model, we discuss the problem of identification, which means that it is not possible to identify marginal distributions from observed competing risk data. Next, we present copula models, which are a suitable mathematical tool for modelling dependence structure between random variables. We explain their basic characteristics, present some useful copula families and the relationship of copula parameters with certain dependence (correlation) measures. Further, we show the utilization of copulas within competing risks models and how they can be helpful in the solution of identifiability problem. Finally, we apply the listed theoretical knowledge in a simulated example. Powered by TCPDF (www.tcpdf.org)
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Regression models in survival analysis and reliability
Novák, Petr ; Volf, Petr (advisor) ; Antoch, Jaromír (referee) ; Dohnal, Gejza (referee)
Regression models in survival analysis and reliability Doctoral thesis Petr Novák Charles University in Prague, Faculty of Mathematics and Physics Abstract: In present work we study methods for modeling the dependence of data from sur- vival and reliability setting on available explanatory variables. The first part of the work compares the properties of the Cox proportional hazards model, Aalen additive model and the Accelerated failure model for survival data. We present methods for testing goodness-of-fit based on counting processes and martingale theory, allowing to identify which model fits the data best. The second part focuses on modeling the lifetime of repairable systems. We study the means of incorporating the history of studied devices into the models, including the influence of corrective repairs and preventive maintenance actions. We demonstrate the introduced methods on real applications and study their properties in various situations on simulated data. 1
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Methods of survival analysis in the case of competing risks
Böhm, David ; Volf, Petr (advisor) ; Hurt, Jan (referee)
The thesis presents fundamental characteristics of survival analysis in the case of competing risks and their relationships. In the case without regression, basic nonparametric estimates and a logarithmic likelihood function for parameter estimates is given. The main focus is on Cox's proportional hazards model (PH), a model with accelerated time (AFT) and a flexible regression model (FG) are also mentioned. The identifiability of the associated survival function is solved using copulas. Basics of copula theory and the measurement of dependence by correlation coefficients (Pearson, Spearman and Kendal) are described in a separate chapter. A substantial part of the theory is practically used in a generated case without regression.
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Limited and censored explained variables
Kostka, Rudolf ; Bejda, Přemysl (advisor) ; Komárek, Arnošt (referee)
In this thesis at first we focus on theory of dealing with limited and censored explained variables. We begin with discrete variables and show the theory of binary and categorical variables. Later we explain utility of models logit and probit and demonstrate it at a practical example. We also provide a comparison of these two models. Third chapter deals with limited explained variables, specifically censored, truncated and variables representing some time to event. In the last chapter we describe some functions, which might be used to plot a graph of a survival function using softwares R or Mathematica. Some options in Excel are also mentioned, but they are very limited. Described functions are then demonstrated in use at a practical example with our gained data. Powered by TCPDF (www.tcpdf.org)
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The population in the Central Bohemian manor of Škvorec from the middle of the 18th to the end of the 19th century. Knowledge gained using traditional and advanced methods of historical demography and methods of historical sociology.
Janáková Kuprová, Barbora
The population in the Central Bohemian manor of Škvorec from the middle of the 18th to the end of the 19th century. Abstract The aim of this study is to analyze the reproductive behavior (nuptiality, natality, female and male fertility, mortality) and the social structure of selected groups of the population of the Škvorec manor in the 18th and 19th century. The Škvorec manor which is located in the territory of today's Central Bohemia was an important agricultural area in given period. The complete nominal excerpts from parish registers were used to find numbers of all births, marriages and deaths. In addition to traditional historical- demography methods (especially the family reconstitution method and subsequent calculation of demographic indicators from family leaves), advanced statistical methods (survival analysis, Cox regression model) were also used for data analysis. These approaches are new in Czech historical demography and bring many advantages, which are presented in the work. The natural change of population development at the manor is compared with the Czech lands as a whole and in more detail with selected rural and urban localities. The results mostly correspond with the population development which was observed in the Czech lands. The number of inhabitants of the manor in the years...
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Kernel estimates of hazard function
Selingerová, Iveta ; Horová, Ivanka (advisor) ; Prášková, Zuzana (referee)
Kernel estimates of hazard function Abstract This doctoral dissertation is devoted to methods for analysis of censored data in survival analysis. The main attention is focused on the hazard function that reflects the instantaneous probability of the event occurrence within the next time instant. The thesis introduces two approaches for a kernel esti- mation of this function. In practice, the hazard function can be affected by other variables. The most frequently used model suggested by D. R. Cox is presented and moreover two types of kernel estimates to estimate a condi- tional hazard function are proposed. For kernel estimates, there is derived some statistical properties and proposed methods of bandwidths selection. The part of the thesis is extensive simulation study where theoretical results are verified and the proposed methods are compared. The last chapter of the thesis is devoted to an analysis of real data sets obtained from different fields.
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