Academic literature on the topic 'Štatistické metody'

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Journal articles on the topic "Štatistické metody"

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Michalina, Denis, and Jana Némethová. "Vybrané štatistické metódy a ukazovatele hodnotenia poľnohospodárstva." Geografické informácie 22, no. 1 (2018): 300–316. http://dx.doi.org/10.17846/gi.2018.22.1.300-316.

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Štefancová, Lucia. "METÓDY PRÍSTUPU PRI NAVRHOVANÍ NOVÝCH VEREJNÝCH PRIESTOROV VO VIDIECKYCH SÍDLACH - PRÍPADOVÁ ŠTÚDIA BERNOLÁKOVO." Czech Journal of Civil Engineering 2, no. 1 (June 30, 2016): 108–14. http://dx.doi.org/10.51704/cjce.2016.vol2.iss1.pp108-114.

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Článok sa zaoberá rôznymi metódami prístupu pri navrhovaní nových verejných priestorov vo vidieckych sídlach. Pomocou prípadovej štúdie Bernolákova - lokality „Nová lúka“ sú na 4 odlišných návrhoch prezentované idey vnímania verejných priestorov. Nové verejné priestory sú odlišné podľa vplyvu, aký bude mať nová zóna na celé Bernolákovo. Návrhy sú urbanisticky tzv. odstupňované od vytvárania monofunkčnej obytnej zóny, cez rekreačnú zónu Bernolákova, až po návrhy nového centra/subcentra obce. Záver je doplnený o štatistický prieskum zameraný na očakávania od novej zóny medzi súčasnými obyvateľmi Bernolákova a Bratislavčanmi, ktorí by sa do novej zóny perspektívne prisťahovali.
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Stradiotová, Eva. "Využitie Web 2.0 aplikácie podcast vo výučbe cudzích jazykov." CASALC Review 10, no. 1 (January 2, 2021): 41. http://dx.doi.org/10.5817/casalc2020-1-4.

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V príspevku sme sa zamerali na sprostredkovanie výsledkov výskum podcastov a ich vplyvu na rozvoj jazykovej zručnosti počúvanie s porozumením. Cieľom výskumu bolo dokázať, že podcast má vplyv na zlepšenie jazykovej zručnosti počúvanie s porozumením a na motiváciu študentov venovať sa vo zvýšenej miere počúvaniu nahrávok v cudzom jazyku. Vo výskume sme použili metódy kvantitatívneho výskumu, ako sú experiment, vstupný test, výstupný test a dotazníkovú metódu. Výskum prebiehal na Ekonomickej univerzite v Bratislave a experimentu sa zúčastnilo 60 respondentov. Prostredníctvom vstupného a výstupného testu sme zistili do akej miery bola jazyková zručnosť počúvanie s porozumením ovplyvnená u respondentov experimentálnej skupiny. Na analýzu získaných dát sme použili štatistický program SPSS. Výsledky potvrdili, že používanie podcastu vo výučbe cudzieho jazyka má vplyv na rozvoj jazykovej zručnosti počúvanie s porozumením. Dotazníkovou metódou sme zisťovali do akej miery malo používanie podcastu vplyv na motiváciu respondentov počúvať vo zvýšenej miere nahrávky v cudzom jazyku. Analýza odpovedí potvrdila, že respondenti vnímali podcast ako novú, netradičnú formu doplnku tradičnej výučby, ktorá mala vplyv na ich motiváciu venovať sa vo zvýšenej miere počúvaniu cudzieho jazyka. Výskum potvrdil, že podcast, ako jeden z nástrojov Web 2.0, má pozitívny vplyv na rozvoj jazykovej zručnosti počúvanie s porozumením.
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Dissertations / Theses on the topic "Štatistické metody"

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Labaš, Dominik. "Analýza metod pro detekci odlehlých hodnot." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445527.

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The topic of this thesis is analysis of methods for detection of outliers. Firstly, a description of outliers and various methods for their detection is provided. Then a description of selected data sets for testing of methods for detection of outliers is given. Next, an application design for the analysis of the described methods is presented. Then, technologies are presented, which provide models for described methods of detection of outliers. The implementation is then described in more detail. Subsequently, the results of experiments are presented, which represent the main part of this thesis. The results are evaluated and the individual models are compared with each other. Lastly, a method for accelerating outlier detection is demonstrated.
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Lališ, Roman. "Uplatnění statistických metod při zpracování dat." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2014. http://www.nusl.cz/ntk/nusl-224633.

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Diploma thesis is focused on the analysis of the financial health of microenterprise using statistical methods, specifically time series. The selected size of the enterprise is related to important asset, since this type of analysis is not usually automated. In theoretical part, thesis will discuss each monitored indicator that forms the basis for statistical analysis, which is also described in the theoretical level. The practical part will focus on specific statements obtained, their financial and statistical analysis, and then creating a program in the language of Excel VBA to automate these activities.
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Matuškovič, Marián. "Uplatnění statistických metod při zpracování dat." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2015. http://www.nusl.cz/ntk/nusl-225025.

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This master thesis focuses on application of statistical methods in the processing of data. The first part of the thesis describes the theoretical foundations that are the basis for the practical part. Next part of this thesis describes the statistical and financial analysis and also design of an application that automate usage of statistical methods of regression analysis to predict the future economic situation development of the company. This thesis contains theory of time series methods and regression analysis.
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Ligas, Denis. "Uplatnění statistických metod při zpracování dat." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-234717.

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Diploma thesis describes the company and analyzes the company from financial view. Afterwards, the software program based on VBA language in MS Excel environment is designed and made. The program analyses accounts and calculates the results of financial analysis. User is able to display the results in the graph with the possibility to display the trend.
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Greškovič, Peter. "Studium negaussovských světelných křivek pomocí Karhunenova-Loveho rozvoje." Master's thesis, 2011. http://www.nusl.cz/ntk/nusl-313944.

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We present an innovative Bayesian method for estimation of statistical parameters of time series data. This method works by comparing coefficients of Karhunen-Lo\`{e}ve expansion of observed and synthetic data with known parameters. We show one new method for generating synthetic data with prescribed properties and we demonstrate on a numerical example how this method can be used for estimation of physically interesting features in power spectra calculated from observed light curves of some X-ray sources.
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Petrúšek, Ivan. "Analýza chybějících hodnot: porovnání vhodnosti tradičních metod napříč mechanismy." Master's thesis, 2014. http://www.nusl.cz/ntk/nusl-341305.

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The objective of this thesis is to evaluate different methods of dealing with missing values in data analysis. The thesis is divided into three major chapters. The first chapter summarizes the theoretical literature on missing data and focuses on missing data mechanisms in particular. The second chapter introduces traditional methods for addressing missing data in sociological research. The third chapter assesses the performance of these methods by analyzing simulated data sets for two variables (income, IQ). For practical analysis (chapter 3), we simulated missing data according to three different mechanisms (MCAR, MAR, NMAR) and varied the proportion of missing values under these mechanisms (10%, 20%, 30%). Then, we applied each of the following four methods of addressing missing values: complete-case analysis, arithmetic mean imputation, regression imputation, and stochastic regression imputation. In order to evaluate the performance of each of these methods we performed correlation and regression analyses for each experimental condition. The results of these simulations are largely in agreement with existing theoretical literature on the subject of missing data. In the case of NMAR, all solution methods provided biased parameter estimates. In the case of MCAR, only complete-case analysis and...
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Šimonová, Soňa. "Různé metody odhadu bodu změny." Master's thesis, 2020. http://www.nusl.cz/ntk/nusl-415932.

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This thesis aims to give a comprehensive account of some of the most recent methods of a change point estimation. The literature on the change point estimation shows a variety of approaches to deal with this subject. Among them, tests based on the popular CUSUM process, likelihood ratio tests, wild binary segmentation and some of the most recent techniques on the change point estimation in panel data are all covered by this paper. The case of dependent panels is discussed as well. The practical part of the study is focused on application of the wild binary segmentation method on weekly log-returns of the Dow Jones stock index. Firstly, we fit a GARCH model to the analysed time series. We next use the wild binary segmenatation method to detect structural changes in the mean of the original time series. Next, we apply the same method to the residuals from the GARCH fit. We analyse several penalization criteria proposed by previous studies and evaluate their effects on the estimated number and locations of the change points in the given data set. 1
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