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Statistical methods in stylometry
Dupal, Pavel ; Kaspříková, Nikola (advisor) ; Šulc, Zdeněk (referee)
The aim of this thesis is to provide an overview of some of the commonly used methods in the area of authorship attribution (stylometry). The text begins with a recap of history from the end of the 19th century to present time and the required terminology from the field of text mining is presented and explained. What follows is a list of selected methods from the field of multidimensional statistics (principal components analysis, cluster analysis) and machine learning (Support Vector Machines, Naive Bayes) and their application as pertains to stylometrical problems, including several methods created specifically for use in this field (bootstrap consensus tree, contrast analysis). Finally these same methods are applied to a practical problem of authorship verification based on a corpus bulit from the works of four internet writers.
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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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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 variables. Later we explain utility of models logit and probit and demonstrate it at a practical example. Third chapter deals with limited explained variables, specifically censored and variables representing some time to event. We show how to work with the most used parametric models and Kaplan-Meier estimator. 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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Non-linear models for financial time series and software tools for their analysis
Fučík, Jan ; Zichová, Jitka (advisor) ; Hendrych, Radek (referee)
This thesis deals with some time series models applicable in finance. First, the basic concepts are introduced and the linear AR models are presented. Afterwards, the reader becomes familiar with the nonlinear ARCH volatility models including their properties and the model-building. The generalized GARCH models are briefly mentioned. Another part of the thesis shows the usage of these models to real data in two available software products - R and Mathematica. The programs are compared from the point of the obtained results and the usability for the analysis of financial time series via the explained models. The description of the procedures and the attached CD with the outputs of the programs allow the reader to apply the models on his or her own data.
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Root system development in the early phases of plant ontogeny
Mašková, Tereza ; Weiser, Martin (advisor) ; Šmilauer, Petr (referee)
Root system development in the early phases of plant ontogeny Seed germination and subsequential developement of the root system is a critical stage of life of a newly rising plant. The plant must recognise and suitably and quickly find an answer to the environmental conditions in which it finds itself. However, the way in which the root system develops and its final architecture depends not only on the environmental conditions but also on the plant itself. In addition, responses to different conditions may vary among different plant species. This work examines the developement of a root system in the first four weeks of a plant's life. It observes the dependence on the amount of available nutrients in the substrate and on the amount of available nutrients the seed is given by the mother plant. It also briefly touches on the relations between seed germination, seed size and the amount of available nutrients. No differences relating to the amount of available nutrients were found in seed germination. However, differences in germination speeds were found between plant species. Plant biomass increases with the increasing amount of available nutrients in the substrate. This increase is relatively greater for plant species with a small seed size. Plant species with a big seed size invest relatively more...
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MHC and KIR genotyping of macaques in HIV infection research
Matula, Jan ; Maděránková, Denisa (referee) ; Sedlář, Karel (advisor)
Modern research of viral diseases relies on genomic data processing. Not only is the sequence of a virus important, genomic sequence of specific receptors in affected organisms also plays an important role. In this paper, a novel package for processing of next generation sequencing data in infectious disease written using R/Bioconductor language is proposed. Functionality of the package, including implementation of advanced SSAHA algorithm for fast database searches, is demonstrated using genotyping of genes for MHC and KIR receptors of HIV positive macaques.
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Cluster Analysis Czech 100 Companies on the Basis of Financial Statements
Langer, Tomáš ; Král, Jiří (referee) ; Novotná, Veronika (advisor)
The diploma thesis called Cluster Analysis Czech 100 Companies on the Basis of Financial Statements deals with the testing of two hypotheses using a multidimensional statistical method - cluster analysis. The input data for the application of statistical methods are financial statements of selected companies for the years 2014 and 2015 which are publicly available. These data are digitized and subjected to methods of financial analysis.
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