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Statistical Analysis of Sample with Small Size
Holčák, Lukáš ; Hübnerová, Zuzana (referee) ; Karpíšek, Zdeněk (advisor)
This diploma thesis is focused on the analysis of small samples where it is not possible to obtain more data. It can be especially due to the capital intensity or time demandingness. Where the production have not a wherewithall for the realization more data or absence of the financial resources. Of course, analysis of small samples is very uncertain, because inferences are always encumbered with the level of uncertainty.
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Low-power internet server
Dohnal, Petr ; Pristach, Marián (referee) ; Pavlík, Michal (advisor)
The aim of this work is to describe the basic mechanisms of memory management and access to peripherals via EBI at the ARM9 microcontroller family. It is a solution for connecting physical ethernet interface, SD / MMC card to the device and design a development kit with the ability to connect a hard or SSD drive. The second part is aimed at operating system Linux, its modification for the ARM9 family of microcontrollers and installing software packages.
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Proposal and implementation of web application for single entry book-keeping
Hofhanzl, Martin ; Smutný, Zdeněk (advisor) ; Juříček, Jan (referee)
This bachelor thesis deals with issues of single entry book-keeping and web technologies that nowadays may be used while developing web applications. Its aim is to introduce basic structure of single entry book-keeping, describe web technologies and develop a web application for single entry book-keeping. In terms of the theoretical part, there are compared available applications with an overview of their features. Characteristic of single entry book-keeping is introduced which and subsequently followed by chapter related to web application requirements. To conclude this part there is a basic characteristic of web technologies that were used while developing an application. In terms of the practical part, there is outlined a process of designing graphic interface which represents the simple shape of the landing page as well as application. Data structure is specified in detail as a follow-up to a characteristic of single entry book-keeping. The last part focuses on the practical example of functions in the application. The practical output of this thesis is real web application which is ready for first users.
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Webdesign of the responsive webpages using the CSS frameworks
Kuthan, Jakub ; Šedivá, Zuzana (advisor) ; Pavlíčková, Jarmila (referee)
This thesis deals with webdesign of flexible websites which are being built with CSS frameworks. The theoretical part describes characteristics of desktop and mobile devices and also describes specific webdesign approaches aimed for these devices. The thesis explains concept of CSS framework and its usability in responsive webdesign. In this part of the thesis there are presented the most widely used CSS frameworks and one of them (Twitter Bootstrap) is described in detail. This particular framework is also used for building of own responsive website in the practical part of this thesis. The main goal of this thesis is to introduce available CSS frameworks on the market and to describe benefits and disadvantages of their use.
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Analysis of Properties of Robust Estimates
Sládek, Václav ; Bílková, Diana (advisor) ; Malá, Ivana (referee)
The aim of this thesis is to analyze the properties of robust estimates and to compare these estimates with regard to the properties between them. The analysis of properties depends on the type of a variable (continuous or discrete), its probability distribution, the range of random sample and the proportion of outliers in random sample. Comparing the properties in different situations will give "guidance" to determine which of the estimates is preferable in specific situations, and which of them should be rather avoided. An adjusted bootstrap method is used to obtain the estimates of properties estimates. The thesis is devided into two parts. In the first part, the parameter estimates, type and design of robust estimators and the bootstrap method are monitored. In the second practical part we determine the suitability of bootstrap to obtain estimates of the properties of robust estimators, followed by obtaining estimates of the properties of the estimates and compare them. At the conclusion of the practical part we observe and compare the values of bootstrap confidence intervals on real data on household income. The results of this thesis shows us, that the bootstrap method does not provide good estimates of the properties of robust estimators in all cases. The results also bring us to the conclusion that from a certain extent of random sample regardless of the number of outliers, you can choose from a robust estimate only on the basis of its value, properties of robust estimates are very similar. Contemplated robust estimates of variability are not suitable estimates in most cases.
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Quantile Regression
Procházka, Jiří ; Bašta, Milan (advisor) ; Malá, Ivana (referee)
The thesis deals with brief introduction of the quantile regression theory. The thesis is divided into three thematic parts. In the first part the thesis deals with general introduction to the quantile regression, with theoretical aspects regarding quantile regression and with basic approaches to estimation of quantile regression parameters. The second part of the thesis focuses on general and asymptotic properties of the quantile regression. Goal of this part is to compare the quantile regression with traditional OLS regression and outline its possible application. In the third part the thesis describes statistical inference, construction of the confidence intervals and testing statistical hypotheses about quantile regression parameters. The goal of this part is to introduce traditional approach and the approach based on resampling procedures and in the end of the day perform mutual comparison of different approaches eventually propose partial modification.
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Utilizing Bootstrap and Cross-validation for prediction error estimation in regression models
Lepša, Ondřej ; Bašta, Milan (advisor) ; Malá, Ivana (referee)
Finding a well-predicting model is one of the main goals of regression analysis. However, to evaluate a model's prediction abilities, it is a normal practice to use criteria which either do not serve this purpose, or criteria of insufficient reliability. As an alternative, there are relatively new methods which use repeated simulations for estimating an appropriate loss function -- prediction error. Cross-validation and bootstrap belong to this category. This thesis describes how to utilize these methods in order to select a regression model that best predicts new values of the response variable.
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Informační systém malého podniku spravující objednávky služeb a rezervací pro stálou klientelu
Obrtlík, Pavel
OBRTLÍK, P. Small business information system with service ordering and making bookings for their steady clientele. The aim of my bachelor thesis is to create and realize web application information system for small business, that their steady clientele could have easier and more comfortable access to service ordering and making bookings. In the theoretic part there are currently used technologies for web application development and the result of my practical part is web application prototype with open source. Bachelor thesis. Brno: Mendel University, 2015.
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Empirical Testing of the New Keynesian Phillips Curve in the Czech Republic
Plašil, Miroslav ; Arlt, Josef (advisor) ; Pánková, Václava (referee) ; Komárek, Luboš (referee)
New keynesian Phillips curve (NKPC) has become a central model to study the relation between inflation and real economic activity, notably in the framework of optimal monetary policy design. However, some recent evidence suggests that empirical data are usually at odds with the underlying theory. The model due to its inherent structure represents a statistical challenge in its own right. Since Galí and Gertler (1999) published their seminal paper introducing estimation via GMM techniques, they have triggered a heated debate on its empirical relevance. Their approach has been heavily criticised by later authors, mainly on the grounds of questionable behaviour of GMM estimator in the NKPC context and/or its small sample properties. The common criticism includes sensitivity to the choice of instrument set, weak identification and small sample bias. In this thesis I propose a new estimation strategy that provides a remedy to above mentioned shortcomings and allows to obtain reliable estimates. The procedure exploits recent advances in GMM theory as well as in other fields of statistics, in particular in the area of time series factor analysis and bootstrap. The proposed estimation strategy consists of several consecutive steps: first, to reduce a small sample bias resulting from excessive use of instruments I summarize all available information by employing factor analysis and include estimated factors into information set. In the second step I use statistical information criteria to select optimal instruments and eventually I obtain confidence intervals on parameters using bootstrap method. In NKPC context all these methods were used for the first time and can also be used independently. Their combination however provides synergistic effect that helps to improve the properties of estimates and to check the efficiency of given steps. Obtained results suggest that NKPC model can explain Czech inflation dynamics fairly well and provide some support for underlying theory. Among other things the results imply that the policy of disinflation may not be as costly with respect to a loss in aggregate product as earlier versions of Phillips curve would indicate. However, finding a good proxy for real economic activity has proved to be a difficult task. In particular we demonstrated that results are conditional on how the measure is calculated, some measures even showed countercyclical behaviour. This issue -- in the thesis discussed only in passing -- is a subject of future research. In addition to the proposed strategy and provided parameter estimates the thesis brings some partial simulation-based findings. Simulations elaborate on earlier literature on naive bootstrap in GMM context and study performance of bootstrap modifications of unit root and KPSS test.
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