National Repository of Grey Literature 5 records found  Search took 0.01 seconds. 
Point processes on networks
Zahrádková, Petra ; Beneš, Viktor (advisor) ; Dvořák, Jiří (referee)
The aim of this master thesis is to develop the background for point processes on both the linear network and the planar network in R3 . The linear, planar network is formed by the system of edges, faces of a 3D tessellation, respectively. Using the Gibbs-Laguerre tessellation model we can investigate the case of a regular or irregular tessellation. We consider cluster and hard core point processes and we compare two types of distances between points, the Euclidean distance and the shortest path distance within the net- work. The algorithms for simulation of point processes on both networks are developed. Using the simulated realizations of point processes we estimate some functional summary characteristics. Based on plotted graphs of these estimates, the influence of the choice of tessellations, point process models and distances is discussed. 1
Parameter estimation of gamma distribution
Zahrádková, Petra ; Kulich, Michal (advisor) ; Hlávka, Zdeněk (referee)
It is well-known that maximum likelihood (ML) estimators of the two parame- ters in a Gamma distribution do not have closed forms. The Gamma distribution is a special case of a generalized Gamma distribution. Two of the three likeli- hood equations of the generalized Gamma distribution can be used as estimating equations for the Gamma distribution, based on which simple closed-form estima- tors for the two Gamma parameters are available. Intuitively, performance of the new estimators based on likelihood equations should be close to the ML estima- tors. The study consolidates this conjecture by establishing the asymptotic beha- viours of the new estimators. In addition, the closed-forms enable bias-corrections to these estimators. 1
Kreativní účetnictví
Zahrádková, Petra ; Pelák, Jiří (advisor) ; Vašek, Libor (referee)
Tato diplomová práce se zabývá vymezením technik, které mohou vést k vykazování nesprávného obrazu o finanční situaci a výkonnosti podniku. Popisuje praktiky jak window dressingu, tak mimobilančního financování. Uvádí, jak tyto metody ovlivní roční účetní výkazy a možná rozhodování jejich uživatelů. Zabývá se také možností jejich odhalování a případné prevence.

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