National Repository of Grey Literature 23 records found  beginprevious21 - 23  jump to record: Search took 0.00 seconds. 
Statistical analysis of samples from the generalized exponential distribution
Votavová, Helena ; Popela, Pavel (referee) ; Michálek, Jaroslav (advisor)
Diplomová práce se zabývá zobecněným exponenciálním rozdělením jako alternativou k Weibullovu a log-normálnímu rozdělení. Jsou popsány základní charakteristiky tohoto rozdělení a metody odhadu parametrů. Samostatná kapitola je věnována testům dobré shody. Druhá část práce se zabývá cenzorovanými výběry. Jsou uvedeny ukázkové příklady pro exponenciální rozdělení. Dále je studován případ cenzorování typu I zleva, který dosud nebyl publikován. Pro tento speciální případ jsou provedeny simulace s podrobným popisem vlastností a chování. Dále je pro toto rozdělení odvozen EM algoritmus a jeho efektivita je porovnána s metodou maximální věrohodnosti. Vypracovaná teorie je aplikována pro analýzu environmentálních dat.
Statistical Analysis of Extreme Value Distributions for Censored Data
Chabičovský, Martin ; Karpíšek, Zdeněk (referee) ; Michálek, Jaroslav (advisor)
The thesis deals with extreme value distributions and censored samples. Theoretical part describes a maximum likelihood method, types of censored samples and introduce a extreme value distributions. In the thesis are derived likelihood equations for censored samples from exponential, Weibull, lognormal, Gumbel and generalized extreme value distribution. For these distributions are also derived asymptotic interval estimates and is made simulation studies on the dependence of the parameter estimate on the percentage of censoring.
Macroeconometric Model of Monetary Policy
Čížek, Ondřej ; Pánková, Václava (advisor) ; Kodera, Jan (referee) ; Lukáš, Ladislav (referee)
First of all, general principals of contemporary macroeconometric models are described in this dissertation together with a brief sketch of alternative approaches. Consequently, the macroeconomic model of a monetary policy is formulated in order to describe fundamental relationships between real and nominal economy. The model originated from a linear one by making some of the parameters endogenous. Despite this nonlinearity, I expressed my model in a state space form with time-varying coefficients, which can be solved by a standard Kalman filter. Using outcomes of this algorithm, likelihood function was then calculated and maximized in order to obtain estimates of the parameters. The theory of identifiability of a parametric structure is also described. Finally, the presented theory is applied on the formulated model of the euro area. In this model, the European Central Bank was assumed to behave according to the Taylor rule. The econometric estimation, however, showed that this common assumption in macroeconomic modeling is not adequate in this case. The results from econometric estimation and analysis of identifiability also indicated that the interest rate policy of the European Central Bank has only a very limited effect on real economic activity of the European Union. Both results are influential, as monetary policy in the last two decades has been modeled as interest rate policy with the Taylor rule in most macroeconometric models.

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