National Repository of Grey Literature 6 records found  Search took 0.01 seconds. 
Passenger Car Kingpin Axis Geometry
Straka, Martin ; Blaťák, Ondřej (referee) ; Porteš, Petr (advisor)
This thesis is focused on of passenger car kingpin axis geometry. Values of toe-in, wheel camber, positive castor and steering axis inclination of 74 cars are gained from Bosch ESI [tronic] database. There is confrontation, linear dependence and influence of drive wheels on these data.
Rational linear dependencies of periodic points of the logistic map
Mik, Matěj ; Žemlička, Jan (advisor) ; Růžička, Pavel (referee)
Period-n points of a polynomial f are roots, and hence elements of the splitting field, of the polynomial fn (x) − x, where fn denotes the nth iterate of f. In the thesis, we will focus on describing rational linear dependencies of period-n points of the polynomial f(x) = 4x(1 − x), which defines the so-called logistic map. We will present a description of the dependencies for n = 1, . . . , 5 and a partial result for n = 6. We will be using computer- calculated factorizations of polynomials over rational numbers and some finite field extensions. The factorizations will give us coordinates of the periodic points relative to some basis of their linear span, which will allow us to use a simple way of describing their dependencies. In the end of the thesis, we will put together an algorithm for describing the dependencies for a general n.
Passenger Car Kingpin Axis Geometry
Straka, Martin ; Blaťák, Ondřej (referee) ; Porteš, Petr (advisor)
This thesis is focused on of passenger car kingpin axis geometry. Values of toe-in, wheel camber, positive castor and steering axis inclination of 74 cars are gained from Bosch ESI [tronic] database. There is confrontation, linear dependence and influence of drive wheels on these data.
Criminality in regions of the Czech Republic in dependence on their economic level
Buchal, Matěj ; Fischer, Jakub (advisor) ; Helman, Karel (referee)
The bachelor thesis is based on empirical research of criminality in the Czech Republic. The object is to describe incidence of criminal offences in regions of the Czech Republic in 2014, to discover dependence of criminality on various socioeconomic factors by using regression and correlation analysis and to estimate future development of number of criminal offences. In the last part there is study of influence of the former president Vaclav Klaus amnesty on development of criminality in 2013 and 2014.
The impact of foreign direct investment on the czech labour market
Víznerová, Erika ; Dočkal, Dalibor (advisor) ; Petrášek, František (referee)
Foreign direct investment has become commonplace in today's globalized world. The Czech Republic attracted foreign investors in the 1990s during the period of transition and has become one of the countries with the highest FDI inflows in Central and Eastern Europe. The inflow of FDI may impact on the economy with a wide range of effects. The aim of this bachelor thesis is to find out what impact FDI has on the labour market in the Czech Republic, and also what motivates investors to make an investment in another country. The first part describes when it is foreign direct investment and its effects on the host economy. It also presents the growth of FDI inflows into the Czech Republic from the last decade of the 20th century. The next part presents the localization factors upon which the investor decides on its investment into a country. The last chapter examines the relationship between the size of FDI in regions and labour market variables on the basis of correlation analysis. Whether the unemployment rate, its annual change and the number of vacancies are dependant on FDI or not.
Linear relation in stock time series
Nemčíková, Lucia ; Bašta, Milan (advisor) ; Helman, Karel (referee)
The aim of this Bachelor's Thesis is to verify the hypothesis of absence of linear relations between logarithmic returns in the stock time series, determined from the efficient markets hypothesis and the existence of linear relations between the squares of returns. I used regression analysis and conditional heteroskedasticity ARCH test of linear type, to achieve the results. My own analysis proved that even if there is a linear relation between logarithmic returns, the relation is not significant. On the other hand the linear relation between squares of returns is significant with tendency to be strong, what is a necessary condition for the use of a linear model of volatility.

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