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Dissertation thesis creates a complex and modern scheme for stochastic modeling of demographic processes, which is universally applicable to any population in the world. All calculations are described in detail on the data of the Czech Republic. Throughout the work the attention is drawn to the issues, that every analyst must necessarily take into account in order to obtain correct results. Data comes mostly from the Czech Statistical Office database. However, some data matrices had to be calculated for the purposes of the thesis. Particular demographic processes (mortality, fertility and migration) are modeled using selected modern approaches (ARIMA models, Lee-Carter method) and based on the constructed models these processes are forecasted to the future. Using partially projected results a comprehensive demographic projection of the population of the Czech Republic is created up to the year 2050. However, not on the basis of the current state and expert expectations of the future development, but based on sophistically projected demographic events, which are explained using the trends and main components of their previous development. This demographic projection is created in three scenarios (marked SC1, SC2 and SC3), which are made from selected optimal models, presented in particular sections of the work. One part of the thesis is also the backward retropolation of age-specific number of net migrants by sex in the Czech Republic since 1948. On its basis the analysis and prediction of the migration can be done. The thesis is a synthesis of the projections of demographic processess of mortality, fertility, and migration. Final results are confronted with three scenarios of population projections of the Czech Republic created by the Czech Statistical Office and five scenarios of population projections by Eurostat. The purely statistical approach of demographic forecasting in comparison with deterministic models and expert expectations has its positives and negatives. Therefore, the different results due to various methodological approaches are discussed and compared in the conclusion of the thesis.

The Travel and Tourism industry plays an important role in the national economy, namely incoming tourism which brings to the country foreign currency incomes from making use of goods and services. The aim of the paper is to analyze the development of foreign currency incomes from incoming tourism to the Czech Republic according to the territorial aspect in the years, resp. quarters of 2004-2012 and to find correlations between foreign currency incomes and number of tourists (nights) in the accommodation establishments. The territorial aspect is obligatory for the Czech National Bank after the Czech Republic joint the European Union in the 2004. The analysis involves the European countries whose foreign currency incomes exceed the limit of 2 billion CZK in 2011; USA as the most important source country from the continent America; Japan as the most importan source country from the continent Asia; Brasil and China as countries of the group BRIC.

The output of the National economy of the Czech Republic is conditioned by a sum of important factors. There are sectors, which increased power during the last two decades, mainly due to expansion of modern technologies and knowledge workers. One of this is Construction. Construction is specific to its position in the economy and in particular is characterized by the greatest seasonality ever. However, this is not a problem for statistical analysis, rather a benefit. Modern approaches allow us to analyze seasonal fluctuations. From selected data we are able to construct evolutionary forecasts. The work will be performed for the most important indicators in the Czech Construction. The outcome of the paper will be conditional forecasts of these indicators. It will also make analyze of the relationship between these indicators and other variables that might affected it. The work is practical application of stochastic modeling approach by Box and Jenkins, augmented by more modern approaches, such as verification of Granger causality and co-integration and testing of seasonal unit roots by Hylleberg et al.

Traveling Tournament Problem is the optimization problem of sport calendar which requires finding the minimum sum of possible travel distances between the teams tournament matches. The tournament is most common type of "double round robin" where distance is crucial for the teams. Concurrently with the issue of finding the optimal solution to a suitable arrangement of sports teams in the table together with respecting the highest possible number of criteria appealing by stakeholders to organizers such as managers of teams and television and radio companies. Thesis provides insight into the complexity of solving large problems, recommendation for their solutions and possible starting-points. In the end there is an alternative option for calculations tournament schedules in the Czech environment event the distances are not so important in this case.

The time series of sessions on web site is investigated in the paper with using box and line plots. On organic traffic, which is part of the main time serie of sessions, is aplicated F-test of seasinality which proves presence of seasonality. The seasonality is removed from time searie by X-13 ARIMA method. The influence of offline advertising on organic traffic of the website is investigated in the second part of this work by using ADL model, but firstly all time series are tested on stacionarity by Dickey-Fuler test which proves, that they are all stacionary. The final model is tested on heteroscedasticity by ARCH test with no prove of it, on autocorelation by BG test also with no prove of it and by Jarque-Bera test on normal distribution of residuals, which proves that they follow normal distribution. The result from test says, that the time searie of organic traffic of the website is influenced by television advertising and by lagged organic trafic itslef with lag of one month.

This diploma thesis deals with various ways of treatment of selected oncological diseases and the effectiveness of treatment methods and evaluation of the influence of various factors influencing the survival of patients. The activity of individual healing processes is evaluated by survival analysis. The subjects of the study are patients with breast, lung and prostate cancer. The survival analysis considers the sex of the patient, the age and stage of his illness, and other factors to avoid distorted results. The aim of the work is to find out the effects of selected therapeutic procedures on patients' health and to identify factors that have a significant impact on the survival of patients. The data for the diploma thesis was provided by the Institute of Health Information and Statistics of the Czech Republic, the Statistical Office, the National Cancer Register (NOR), the US SEER database and the German Breast Cancer Study.

Dissertation is focused on analysis of time series of monthly mean temperatures of seven meteorological stations between years 1960 to 2015. With the use of selected statistical methods time series are modelled in moving ten year long intervals and a forecast of elevenths year is constructed. The goal of this dissertation is to compare the success of different methods/models predictions of values for one year period, based on the data from last 10 years.

This diploma thesis deals with the analysis of the birth rate and fertility rate in dependence on the economic conditions of the Czech Republic. The aim of this thesis is to analyze relations between selected socio-economic indicators and total fertility rate on the basis of available data and to evaluate changes related to birth and fertility in the Czech Republic, which occurred in the period 1993-2015. The thesis is divided into two main parts - theoretical and analytical. In the theoretical part are described the basic methods of calculating the characteristics for the analysis of the level of birthrate and fertility, as well as the development of selected socio-economic indicators. An important part of the first part of the diploma thesis is specification of used methods within time series. The second part is practically focused on cointegration analysis and subsequent assembly of single-row models from which error correction models were obtained by transformation. These can be used to describe short and long term relationships between time series. Explained variables are aggregate fertility in all assembled models, the explanatory variables are GDP, average gross monthly wage, final consumption expenditure for households, child allowances, parental allowance and household loans per capita.

The bachelor thesis is focused on analysis of quarterly time series of guests in spa resorts in Czech republic in the period from 2000 to 2016. The data were obtained from Czech statistical office. The aim of this thesis is to analyse the time series and to create predictions of possible future progress of time series. Deterministic and stochastic methods are used to analyse the time series. All models are created in the statistical environment R.

This bachelor thesis deals with the study of changes in income of the economically active population in the given region. The main aim of the thesis is to analyze the wage and salary sphere of the population in the Pardubice region and to compare the size of wages and salaries by category. These include age groups, gender, highest education and type of profession. The partial aim is to predict the evolution of hourly earnings using appropriately selected statistical methods. The main benefit of this thesis is to provide a comprehensive overview of the size of the personal income in the Pardubice region for 2015 and 2016.

Consumer loans are part of loan products provided by bank institutions. This diploma thesis is focused on possibility of identifying risk clients with the consumer loans, using available data set. In the first part of the work was briefly mentioned the credit process and also theoretical basis of statistic methods used in empirical part of the work. In the second part were investigated dependencies, and was described the clients structure. Then the discriminant analysis was applied, with the aim to identify the sorting criteria, which could recognize the risk and unproblematic clients. Subsequently the results of the analysis were evaluated and described the identified connections.

In the theoretical level this thesis describes some of the statistical methods using for time series analysis with seasonal component and some of the statistical methods using only for analysis of seasonal component. In the analytical level, these statistical methods are applied to demographic time series. The seasonal component is analysed in more detail, and the progress and type of the seasonal component is compared between several european country. This thesis brings and shows some of the interesting trends, which are appeared in analysed demographic time series. Last but not least, this thesis also provides the preview on the application of some not usually using statistical methods.

The aim of this bachelor thesis is primarily to analyse the size and structure of population in the productive age in 2010-2050. The potential labour force consists of people aged between 20 and 64 years. However, this age is specified later on regarding the increasing number of tertiary educated population and also the shift of the retirement age. Among the main findings is the extension of school years up to 15 years in 2050. The retirement age is considered due to the current pension system for men and women with two children separately. Both cases can be expected to suffer a significant drop of the productive population caused by the population ageing. Moreover, the thesis defines other impacts of population ageing on the labour market in the Czech Republic and summarizes the possible labour market interventions. For example, one of these interventions can be promotion of flexible forms of employment which could achieve economic inactivity decrease. Especially women could benefit from this one. The main data source of this thesis is the Population projection of the Czech Republic to 2100 by the Czech Statistical Office.

This bachelor thesis studies the mortality in the Czech Republic in the 1920--2013 period. The aim of the thesis is to analyse the development of mortality indicators and their connection with historical events. These indicators are described in detail at the beginning of the thesis along with an outline of the computation method. Furthermore, the development of the general and standardized mortality rate, excess male mortality, infant and newborn mortality rate, specific mortality rates, life expectancy and indicators concerning suicide are explored and analysed. The thesis also contains prognosis of the future development of life expectancy as predicted by the Czech Statistical Office.

Bachelor thesis follows up demographic development of marriage and divorce rates in Czech Republic and Greece during 1992-2012. The main diference is the religion. Greece is high-believer country. In the first chapter are defined basic terms and formulas which are used in analysis of results. The second chapter is about methodics. This part talks about the decomposition of time series and trend functions. In the third chapter are evaluated models. Analytical chapter shows reasons why values have this results. Next point is the comparing of crude rates, total divorce rate or proportions of children born outside marriage. Last subchapter is the forecasts of future development based on modeling trends and exponential smoothing. Bachelor thesis is creating summary view of development in marriage and divorce rates in Czech Republic and Greece.

This thesis is focused on seasonality in typical demographic time series from 1994 to 2014. The aim of this thesis is to analyse seasonality in monthly time series of live births, deaths and marriages in the Czech Republic and to determine whether seasonality varies in time, whether there can be proven its rise or fall in dependence of changing human habits and traditions respectively. Each demographical process is defined by basic terms and characterized by both absolute and relative indicators. Monthly demographic time series are compared by using average seasonal indexes and further compared for years 1994, 2004 and 2014 by monthly seasonal indexes. The conclusion of this thesis is aimed on comparison of seasonality in time series of Finland and the Czech Republic.

The thesis discusses the reasons for human life prolonging and studies diseases mortality evolution from 1994 to 2012. The paper focuses on possible reasons for increasing or decreasing of specific diseases mortality. The diseases are examined in all individual Czech regions. The changes of average human age are calculated by using absolute growth rates, both for the Czech Republic and for each Czech region in the period 1994 to 2012. The thesis also ascertains the degree of dependence between population living standards and the average age at death. Living standard is evaluated according to socioeconomic aspects.

Unemployment is one of the biggest economic and social problem of the present day and not only on territory of monitored regions, but on the whole world. The bachelor work is focused on comparison of the unemployment in Central Bohemia region and Usti region. In the methodological part are defined basic terms and formulas which are both used in the analytical part. The analytical part compares the socio-economic statistics of population in the surveyed regions by using data from Czech statistical office and Ministry of labour and social affairs. The objective of this bachelor work is to create summarizing view of unemployment in both Central Bohemia and Usti region.

Unemployment is a social and economic problem and almost every country in the world has to face it. The Czech Republic has to face that problem as well; hence the topic of this bachelor thesis is to compare unemployment in two regions: Hradec Králové Region and Pardubice Region. These two regions were selected for comparison as they have many geographical and demographical traits in common. The purpose of the thesis is to explain unemployment in both regions by selected demographical and other traits. In the first chapter, both regions are described. Description of different types of unemployment can be found in the second chapter and the third chapter deals with data collection methods. The fourth chapter, which is practically oriented, contains comparison of unemployment in both regions from different perspectives by using the most appropriate statistical methods. Datasets, which were used for this thesis, were obtained from the online database of the Ministry of Labour and Social Affairs and from the website of the Czech Statistical Office. The presented calculations, graphs and tables were created in MS Excel.

Wages and salaries represent important economic terms whose amount characterizes the standard of living of the population in a given territory. These terms are related to everyone who had ever decided or is going to enter into an employment relationship, which is the vast majority of population. For these reasons my bachelor thesis deals with analysis of wages and salaries in the capital city of Prague. Wages and salaries are explored in this thesis by using the indicators of gross monthly wages and salaries. The development of medians of these indicators is evaluated through graphs, basic characteristics of time series, indices and suitable trend function. The development of wages will be examined from 2001 to 2013 and salaries from 2004 to 2013. Further for 2013 the indicators are divided into groups according to socio-economic characteristics of employees. Medians of these groups are compared with each other. Furthermore, wage and salary differentiation is examined. The analysed data are obtained from the Average Earnings Information System. This thesis should provide the information about wage and salary situation in the capital city for the reader. It consists of four chapters, where the first two are theoretical and the other two are analytical parts.

As age-specific service, education is considerably affected by demographic trends. The aim of this bachelor thesis is to analyze previous development of a school-age population and also to outline future changes until 2100. The school-age population consists of all persons in the age usual for education at a certain level of Czech education system including kindergartens and creche. A calculation of the school-age population takes into account a possibility of postponement of school attendance and also a transition of pupils from elementary school to grammar school. A size of each school-age population is compared with an actual number of pupils (students) at a given level of education.

Standard of living in a country is given by a situation of the national economy. High life expectancy, low infant mortality or low birthrate is associated with a good standard of living. The objective of this thesis is to analyze relations between demographic and economical time series. The time series are shown graphically and described. A method of correlation analysis is used for reaching the objective. The expectations about dependences between the selected indicators are tested. With the aid of this method, sense, power and direction of the dependence are evaluated. In this thesis there is for example confirmed a direct linear dependence between general government expenditure on health and life expectancy, which is known from the literature. Other expectations are selected randomly and it found a direct linear dependence between real GDP, number of immigrants and emigrants, for instance. This thesis explains the causes and the consequences of the development of some demographic and economical quantities.

The work is dealing with mortality trends and indicators. The object was to compare and evaluate the figures of these indicators among the regions in the Czech republic. The first part explains demographic terms and methods in order to understand the mortality rate and its values. The second part follows and then evaluates the development of mortality rates in the Czech republic since the nineties up to the present. The next part defines the state teritory based on the NUTS classification and specifies all 14 regions. These regions are then compared from the point of selected factors which can influence mortality rate. Then the dependence or independence of mortality on these factors is statistically calculated. After that the work aims at all regions in the Czech republic individually. The values of life expectancy, crude mortality rate and infant mortality are being followed and compared. The closing part is dealing with chosen options for simulating various trends in mortality which is used for making prognosis. It also explains the impact of mortality rate on population ageing which is a hot issue these days.

Gender statistics constitute the main tool, which enables the exploration of differences between males and females in different areas, not only demographic, economic and social. On a daily basis, we encounter statistical indicators which show different results for males and females. In the introduction of this bachelor thesis, basic terms relating to gender are defined. It focuses mainly on the most used terminology in the field of gender issues, which has been substantially influenced by the modern society. After collecting necessary data from the Czech Statistical Office and other sources open to public, the second part of the thesis describes selected demographic indicators by gender. This is done firstly for the Czech Republic as a whole and then at the level of NUTS 3 regions. In the third part, gender differences and relations between studied indicators are expressed with the aid of various graphs and several analyses of selected demographic indicators. It captures especially the diverse age and education structure, employment rate etc. The fourth, final, part focuses on organizations within the Czech Republic, which actively pursue gender issues.