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Dissertations / Theses on the topic 'Statistické predikce'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

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1

Kinc, Petr. "Matematické a statistické metody pro podporu vývoje softwarových aplikací." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2018. http://www.nusl.cz/ntk/nusl-378318.

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This diploma thesis focuses on the design and development of the software tool using C# programming language and his subsequent implementation into the Microsoft Dynamics NAV information system. The task of this tool is to analyze the development of selected indicators using statistical methods and to predict their future development. On the basis of these predicted data, is created an indicative budget to support decision making on the determination of key accounting parameters and coefficients for the next accounting period in the company Vodovody a kanalizace Hodonín, a.s.

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2

Zouharová, Daniela. "Posouzení vybraných ukazatelů mezinárodní společnosti pomocí statistických metod." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2021. http://www.nusl.cz/ntk/nusl-443124.

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The thesis deals with the assessment of the economic situation of a selected company using statistical methods. The theoretical part describes the financial indicators, time series and regression analysis. The analytical part contains the calculation of selected indicators, which are subjected to statistical analysis. Based on the statistical analysis, the future development of indicators in the next two years is predicted. The last part contains suggestions that can lead to the improvement of the current situation of the company.

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3

Matys, Jan. "Posouzení ekonomické situace společnosti a návrhy na její zlepšení." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2019. http://www.nusl.cz/ntk/nusl-402020.

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The diploma thesis evaluates the economic situation of BPS Bicycle Industrial s. r. o. time series analysis. The theoretical part describes financial indicators, time series analyzes and regression and correlation analysis. Based on the analyzes, suggestions were made to improve the current situation of the company. BPS has proven to be financially sound. Shortcomings to improvement were identified from the analyzes. For example, share of equity and debt, use of surplus funds and turnover of receivables and payables. This ratio needs to be addressed through greater use of debt. The system of s

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4

Matějková, Petra. "Analýza ekonomických dat s využitím statistických metod." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2017. http://www.nusl.cz/ntk/nusl-318359.

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This master‘s thesis evaluates the financial situation of the company using selected indicators of financial analysis using time series analysis and regression analysis. Theses is separated into two parts. The theoretical part focuses on the issue of economic indicators, financial analysis, interpretation and on time series. The practical part deals with analysis of economic indicators, which will then be subjected to statistical analysis, which tries using statistical methods to analyse the trend of individual indicators and on the basis of values from previous periods to predict future devel

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5

Kalousková, Petra. "Posouzení finanční výkonnosti společnosti pomocí analýzy časových řad." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2018. http://www.nusl.cz/ntk/nusl-377934.

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The diploma thesis deals with an assessment of the topical financial situation of BARVY A LAKY TELURIA, s. r. o. using the time series analysis. The theoretical part focuses on the description of the financial indicators, analysis of the time series, and subsequently the regressive and correlative analysis. In the practical part, selected financial indicators are statistically analyzed. The future two-year development of indicators is predicted on the basis of the selected models; subsequently dependencies among the particular indicators are determined. In the conclusion, proposals to ameliora

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6

Zborovská, Marie. "Posouzení ekonomické situace mateřské společnosti pomocí statistických metod." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2021. http://www.nusl.cz/ntk/nusl-443123.

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The master‘s thesis examines the issue of the interconnection of market potential with financial indicators and other variables. Data from the financial statements of ABC, s. r. o. operating on the Slovak IT market are used. The dependence of market potential and other market variables was evaluated using statistical methods. Subsequently, the analysis of selected financial indicators of the company ABC, s. r. o. is statistically evaluated and the dependence with market potential is verified. Thanks to the results, the company's proposals are determined, taking into account the current situati

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7

Travencová, Darina. "Posouzení vybraných ukazatelů pomocí analýzy časových řad." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2017. http://www.nusl.cz/ntk/nusl-318310.

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The master´s thesis evaluates the economic situation of the company SCHWARTZ TECHNICKÉ PLASTY ČR s. r. o. using statistical methods. The theoretical part describes the issues necessary for the practical part, financial indicators, time series, regression and correlation analysis. In the practical part is an analysis of selected indicators of financial analysis, then statistical methods are used to predict future developments for the coming two years and to detect dependencies between the indexes. The last section contains suggestions for improving the current situation, which are based on calc

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8

Pokorný, Petr. "Modelování predikce bankrotu zemědělských podniků." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2017. http://www.nusl.cz/ntk/nusl-319423.

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This master’s thesis is focused on problematic within the prediction of bankruptcy of companies operating in the field of agriculture in Czech republic. First part consists of introduction to companies that do business in field of agriculture and it describes bankruptcy models that are used in academicals sphere. Other part of thesis is divided into two sub-parts. First part is dedicated to an application of data into models of bankruptcy and their evaluation. Second part is focused on improvement of the best model and its main goal is to maximize the precision of the bankruptcy.

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9

Bartošová, Livie. "Analýza změn ve vydáních domácností v ČR." Master's thesis, Česká zemědělská univerzita v Praze, 2016. http://www.nusl.cz/ntk/nusl-256966.

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The Diploma Thesis is focused on changes in household spending in the Czech Republic.The aim was to analyze the changes in the average spending in individual household types. In the introductory part, the method of data collection by the Czech Statistical Office, which collects the data from the households in the framework of the family accounts statistics, is described. Moreover, the inflation questions are explained here, together with the description of models of consumption ways. The introduction of the Thesis also includes the explanation of options of a non-consumer spending in the fo

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10

Sjövill, Rasmus. "USING SEARCH QUERY DATA TO PREDICT THE GENERAL ELECTION: CAN GOOGLE TRENDS HELP PREDICT THE SWEDISH GENERAL ELECTION?" Thesis, Uppsala universitet, Statistiska institutionen, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-412889.

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The 2018 Swedish general election saw the largest collective polling error so far in the twenty-first century. As in most other advanced democracies Swedish pollsters have faced extensive challenges in the form of declining response rates. To deal with this problem a new method based on search query data is proposed. This thesis predicts the Swedish general election using Google Trends data by introducing three models based on the assumption, that during the pre-election period actual voters of one party are searching for that party on Google. The results indicate that a model that exploits in

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11

Tauberová, Darina. "Systémový přístup k predikci vývoje cen na trhu rezidenčních nemovitostí." Doctoral thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2018. http://www.nusl.cz/ntk/nusl-386763.

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The doctoral thesis deals with the finding of a suitable approach for predicting the development of the residential real estate market, which would also be applicable in the practice of Experts and further develop the appraisal field. It has been found that a delayed multiple linear regression model appears to be appropriate, as confirmed by the verification of this model. The resulting model is also suitable for use in routine Expert practice, thanks to the simplicity of calculation without ownership of any computing program. Expert thanks to the created model is able to predict the developme

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12

Kunc, Dominik. "Analýza determinant vývoje spotřeby elektřiny." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-220163.

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The aim of this thesis is to briefly introduce the reader to the problem of development of the electricity consumption, to show the possibilities of its prediction, and provide an example of electricity consumption analysis, which may serve as a basis for long-term forecast. The first part of this work is devoted to brief overview of the development of consumption of electrical energy in the Czech Republic and factors associated with that development. The main events of Czech electrification history are outlined, as well as factors influencing the magnitude of the demand for electricity in the

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13

Jonsson, Christoffer. "Statistical analysis of winddata regarding long-term correction." Thesis, Uppsala University, LUVAL, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-121037.

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<p>The procedure of determining if a site is suitable for wind power production requiresconvincing statistical data describing the long-term behavior of the average wind speed.This can be achieved by measuring the wind speed for a short time period, e.g. a year,and after that a Measure-Correlate-Predict (MCP) method can be performed. The shorttermmeasured wind data must be used in combination with a long-term referenceseries. This long-term reference series can be global reanalysis data reaching 20 to 30years back in time. In a MCP method different regression methods can be used. Aftercreating

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14

Koopmann, Richard Jr. "Using the ACT to predict college graduation." Menomonie, WI : University of Wisconsin--Stout, 2005. http://www.uwstout.edu/lib/thesis/2005/2005koopmannr.pdf.

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15

George, Mathew. "Development of a forecasting model of Indian road traffic scenario to predict road user share, injuries and fatalities." Thesis, Linköpings universitet, Statistik och maskininlärning, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166130.

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According to the global status report on road safety 2018 by the World Health Organization (WHO), road accidents cause 1.35 million deaths annually world-wide, making it the eight leading cause of death. Road fatalities are caused due to multiple factors including rash driving, unsafe roads and vehicle failures. Developed countries have been able to control the road fatalities with planned infrastructure, safer vehicles and public awareness. According to the WHO report, low income countries own about 1% of the total vehicles but account for 13% of the road fatalities. In this thesis the traffi

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16

Smith, Nicole Thomas. "Validation of criteria used to predict warfarin dosing decisions /." Diss., CLICK HERE for online access, 2004. http://contentdm.lib.byu.edu/ETD/image/etd427.pdf.

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17

Sans, Fuentes Carles. "Markov Decision Processes and ARIMA models to analyze and predict Ice Hockey player’s performance." Thesis, Linköpings universitet, Statistik och maskininlärning, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154349.

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In this thesis, player’s performance on ice hockey is modelled to create newmetricsby match and season for players. AD-trees have been used to summarize ice hockey matches using state variables, which combine context and action variables to estimate the impact of each action under that speciﬁc state using Markov Decision Processes. With that, an impact measure has been described and four player metrics have been derived by match for regular seasons 2007-2008 and 2008-2009. General analysis has been performed for these metrics and ARIMA models have been used to analyze and predict players perfo

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18

Bäcklund, JOakim, and Johdet Nils. "A Bayesian approach to predict the number of soccer goals : Modeling with Bayesian Negative Binomial regression." Thesis, Linköpings universitet, Statistik och maskininlärning, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-149028.

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This thesis focuses on a well-known topic in sports betting, predicting the number of goals in soccer games.The data set used comes from the top English soccer league: Premier League, and consists of games played in the seasons 2015/16 to 2017/18.This thesis approaches the prediction with the auxiliary support of the odds from the betting exchange Betfair. The purpose is to find a model that can create an accurate goal distribution. %The other purpose is to investigate whether Negative binomial distribution regressionThe methods used are Bayesian Negative Binomial regression and Bayesian Poiss

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19

Krygielová, Lucie. "Uplatnění statistických metod při zpracování dat." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2014. http://www.nusl.cz/ntk/nusl-224432.

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This thesis deals with the optimization of the supply process of a small business, especially with determining the optimal inventory level and demand forecasting, using tools of time series analysis. The final part gives a description of the creation of the program that is used to calculate individual indicators and forecasts. The aim is to increase the efficiency of the supply process, thereby reducing operating costs of the company.

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20

Barva, David. "Analýza ekonomických ukazatelů pomocí statistických metod." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2013. http://www.nusl.cz/ntk/nusl-223764.

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The master thesis evaluates economic situation of a company using statistical methods. The paper comes out of the company's financial statement that have been economically analysed and led to statistical analysis. Using statistic methods together with historical data estimates future trends. Consequently, solutions that could lead to the company's financial stability and sustainable management.

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21

Whitley, Michael Aaron. "Using statistical learning to predict survival of passengers on the RMS Titanic." Kansas State University, 2015. http://hdl.handle.net/2097/20541.

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Master of Science<br>Statistics<br>Christopher Vahl<br>When exploring data, predictive analytics techniques have proven to be effective. In this report, the efficiency of several predictive analytics methods are explored. During the time of this study, Kaggle.com, a data science competition website, had the predictive modeling competition, "Titanic: Machine Learning from Disaster" available. This competition posed a classification problem to build a predictive model to predict the survival of passengers on the RMS Titanic. The focus of our approach was on applying a traditional classificat

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22

Halam, Bantu. "Mining a large shopping database to predict where, when, and what consumers will buy next." Master's thesis, Faculty of Science, 2020. http://hdl.handle.net/11427/32224.

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Retailers with electronic point-of-sale systems continuously amass detailed data about the items each consumer buys (i.e. what item, how often, its package size, how many were bought, whether the item was on special, etc.). Where the retailer can also associate purchases with a particular individual for example, when an account or loyalty card is issued, the buying behaviour of the consumer can be tracked over time, providing the retailer with valuable information about a customer's changing preferences. This project is based on mining a large database, containing the purchase histories of som

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23

Taylor, Nick. "A statistical model to predict flow on the River Ouse in East Sussex /." Leeds : University of Leeds, 2006. http://0-www.leeds.ac.uk.wam.leeds.ac.uk/library/secure/counter/geogbsc/200506/taylorn.pdf.

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24

Singh, Yuvraj. "Regression Models to Predict Coastdown Road Load for Various Vehicle Types." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1595265184541326.

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Chan, Ka Fai. "Different statistical methods to predict sulfur dioxide concentration and ozone concentration at Tung Chung /." View abstract or full-text, 2005. http://library.ust.hk/cgi/db/thesis.pl?AMCE%202005%20CHAN.

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26

Zhang, Jian. "Loss function approaches to predict a spatial quantile and its exceedance region." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1165513428.

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27

Kramer, Max A. "Assessing the Feasibility of Machine Learning to Predict Chronic Pain in Adolescence." Oberlin College Honors Theses / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=oberlin1589809790854233.

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28

Momeni, Hojr. "Identifying effective geometric and traffic factors to predict crashes at horizontal curve sections." Diss., Kansas State University, 2016. http://hdl.handle.net/2097/32821.

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Doctor of Philosophy<br>Department of Civil Engineering<br>Sunanda Dissanayake<br>Malgorzata J. Rys<br>Driver workload increases on horizontal curves due to more complicated navigation compared to navigation on straight roadway sections. Although only a small portion of roadways are horizontal curve sections, approximately 25% of all fatal highway crashes occur at horizontal curve sections. According to the Fatality Analysis Reporting System (FARS) database, fatalities associated with horizontal curves were more than 25% during last years from 2008 to 2014, reinforcing that investigation of ho

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Hodulíková, Eva. "Uplatnění statistických metod při posuzování vybraných ukazatelů společnosti." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2021. http://www.nusl.cz/ntk/nusl-443122.

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The diploma thesis deals with the application of statistical methods in assessing selected indicators of the company ABC, Ltd. This work is divided into three parts. The first part explains the terms related to financial indicators, macroeconomic indicators, regression and correlation analysis and also, this part of the work explains the matters of time series. The second part contains an analysis of the current state. Individual analyses of indicators and their predictions are performed in it. Also, there is a research concerning the influence of macroeconomic indicators on the financial perf

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30

Thomas, Nicole. "Validation of Criteria Used to Predict Warfarin Dosing Decisions." BYU ScholarsArchive, 2004. https://scholarsarchive.byu.edu/etd/40.

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People at risk for blood clots are often treated with anticoagulants, warfarin is such an anticoagulant. The dose's effect is measured by comparing the time for blood to clot to a control time called an INR value. Previous anticoagulant studies have addressed agreement between fingerstick (POC) devices and the standard laboratory, however these studies rely on mathematical formulas as criteria for clinical evaluations, i.e. clinical evaluation vs. precision and bias. Fourteen such criteria were found in the literature. There exists little consistency among these criteria for assessing clinical

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31

Schafer, Lindsey A. "Statistical Analysis of Mining Parameters to Create Empirical Models to Predict Mine Pool Formation in Underground Coal Mines." Ohio University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1525947021230552.

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32

Park, Samuel M. "A Comparison of Machine Learning Techniques to Predict University Rates." University of Toledo / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1564790014887692.

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33

Hari, Rohit. "KNOWLEDGE DISCOVERY USING DATA ANALYSIS TECHNIQUES AND INVERSE EXTREME VALUE STATISTICS TO BETTER PREDICT LIFE OF A BEARING." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1366304299.

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Roth, Sadie E. "A Model to Predict Ohio University Student Attrition from Admissions and Involvement Data." Ohio University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1213109228.

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Hall, Kimberlee K., and Phillip R. Scheuerman. "Development of Multiple Regression Models to Predict Sources of Fecal Pollution." Digital Commons @ East Tennessee State University, 2017. https://dc.etsu.edu/etsu-works/2880.

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This study assessed the usefulness of multivariate statistical tools to characterize watershed dynamics and prioritize streams for remediation. Three multiple regression models were developed using water quality data collected from Sinking Creek in the Watauga River watershed in Northeast Tennessee. Model 1 included all water quality parameters, model 2 included parameters identified by stepwise regression, and model 3 was developed using canonical discriminant analysis. Models were evaluated in seven creeks to determine if they correctly classified land use and level of fecal pollution. At th

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Kunkel, Maria Elizete [Verfasser]. "A statistical approach to predict subject-specific morphometry of the human thoracic and lumbar spine from radiographic images / Maria Elizete Kunkel." Ulm : Universität Ulm. Medizinische Fakultät, 2012. http://d-nb.info/1019563273/34.

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Andersson, Martin, and Marcus Mazouch. "Binary classification for predicting propensity to buy flight tickets. : A study on whether binary classification can be used to predict Scandinavian Airlines customers’ propensity to buy a flight ticket within the next seven days." Thesis, Umeå universitet, Institutionen för matematik och matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-160855.

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A customers propensity to buy a certain product is a widely researched field and is applied in multiple industries. In this thesis it is showed that using binary classification on data from Scandinavian Airlines can predict their customers propensity to book a flight within the next coming seven days. A comparison between logistic regression and support vector machine is presented and logistic regression with reduced number of variables is chosen as the final model, due to it’s simplicity and accuracy. The explanatory variables contains exclusively booking history, whilst customer demographics

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Ghareeb, Ahmed. "Data mining for University of Dayton campus buildings to predict future demand." University of Dayton / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1490472227466522.

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Puri, Rajnish. "Development of High performance Concrete Composites Using Class F Fly Ash and PCC Bottom Ash, and a Statistical Model to Predict Compressive Strength of Similar Concrete Composites." OpenSIUC, 2015. https://opensiuc.lib.siu.edu/dissertations/1123.

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AN ABSTRACT OF THE DISSERTATION OF RAJNISH PURI, for the Doctorate of Philosophy Degree in ENGINEERING SCIENCE WITH CONCENTRATION IN CIVIL AND ENVIRONMENTAL ENGINEERING, presented on APRIL 15, 2015 at Southern Illinois University Carbondale TITLE: DEVELOPMENT OF HIGH PERFORMANCE CONCRETE COMPOSITES USING CLASS F FLY ASH AND PCC BOTTOM ASH, AND A STATISTICAL MODEL TO PREDICT COMPRESSIVE STRENGTH OF SIMILAR CONCRETE COMPOSITES ADVISOR: Dr. Sanjeev Kumar It is a common knowledge that the use of concrete is as old as the evolution of human civilization. People have always dreamed beyond the dotted

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Pathak, Amit. "Forecasting Models to Predict EQ-5D Model Indicators for Population Health Improvement." Ohio University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1480959312370497.

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Zelenke, Brian Christopher. "An empirical statistical model relating winds and ocean surface currents : implications for short-term current forecasts." Thesis, Connect to the title online, 2005. http://hdl.handle.net/1957/2166.

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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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Johnson, David Richard. "Use of In-Stream Water Quality Measurements and Geospatial Parameters to Predict Consumer Surfactant Toxic Units in the Upper Trinity River Watershed, Texas." Thesis, University of North Texas, 2008. https://digital.library.unt.edu/ark:/67531/metadc6091/.

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Surfactants are used in a wide assortment of "down-the-drain" consumer products, yet they are often discharged in wastewater treatment plant effluent into receiving water, potentially causing environmental harm. The objective of this project was to predict surfactant toxic units and in-stream nutrients in the upper Trinity River watershed. Surface and pore water samples were collected in late summer 2005. General chemistries and surfactant toxic units were calculated. GIS models of anthropogenic and natural factors were collected and analyzed according to subwatersheds. Multiple regressio

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44

Pikal, Martin. "Spotřeba vody z veřejných vodovodů." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2014. http://www.nusl.cz/ntk/nusl-226888.

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Within this diploma thesis were evaluated factors, affecting consumption of drinking water from water supply system. Evaluation of time series of water consumption and chosen factors was performed using tools of mathematical statistics. In the last step was performed a dependence analysis of water consumption using artificial neuron network ANN. Diploma thesis was solved in cooperation with company Vodárenská akciová společnost, PLC and Severomoravské vodovody a kanalizace Ostrava, PCL.

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Lindenbeck, Mario. "Untersuchungen zur Eignung des Laktosegehalts der Milch für das Leistungs- und Gesundheitsmonitoring bei laktierenden Milchkühen." Doctoral thesis, Humboldt-Universität zu Berlin, Lebenswissenschaftliche Fakultät, 2016. http://dx.doi.org/10.18452/17440.

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In den vorliegenden Untersuchungen wurde das Ziel verfolgt die Nutzbarkeit des Milchinhaltsstoffes Laktose als praxistaugliche Managementhilfe zu prüfen. Die Primärdaten stammen aus drei israelischen Hochleistungsherden, über mehrere Laktationen erhoben. Der Parameter Laktosegehalt wurde in der Datenaufbereitung dahingehend geprüft, ob dieser zur Gesundheits- und Leistungsvorhersage ausreicht oder welche zusätzlichen Merkmale für die Verwendung in einem Prognose-Modell von Bedeutung sein könnten. Als leistungs- bzw. gesundheitsrelevante Ereignisse (Events) wurden Brunst, Diarrhoe, Endometritis

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Zeman, Ondřej. "Analýza fluktuace továrních dělníků." Master's thesis, 2020. http://www.nusl.cz/ntk/nusl-434542.

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The main goal of this thesis is to analyse the fluctuation of the employees in a well established Czech manufacturing company. Due to the GDPR regulations, the underlying company is kept anonymised in this thesis. The data were transformed into longitudinal data and the GEE methodology was used for the analysis of the fluctuation. In the first chapter, an introduction to the problem and a short description of the data is provided. The second chapter contains some theoretical description of the GEE methodology and the QIC information criterion. In the third chapter, multiple models for a binary

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Hrubý, Jakub. "Analýza ekonomického rozvoje Jihomoravského kraje." Master's thesis, 2014. http://www.nusl.cz/ntk/nusl-250802.

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The diploma thesis "South Moravian Region's Economic Development Analysis" is focused on structure and economic development analysis of South Moravian Region. It compares available data with other regions of the Czech Republic and other selected European regions. Following part is focused on a statistical prediction of future development of the South Moravian Region's GDP and complex evaluation and future recommendations.

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Ho, Li-Chih, and 何立智. "Using Image Statistics to Predict Landscape Preference." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/79580556157766965775.

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博士<br>國立臺灣大學<br>園藝暨景觀學系<br>103<br>When we see beautiful scenery, light particles enter our eyes and induce pleasant feelings. Landscape preference is the study of this phenomenon. Two paradigms are used to study landscape preference: the psychophysical paradigm and the cognitive paradigm. The psychophysical paradigm focuses on understanding the relationship between the physical attributes of the environment and landscape preference, while the cognitive paradigm focuses on understanding the relationship between the cognitive attributes of the environment and landscape preference. That being the

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Votavová, Marie. "Expertní systémová analýza pojistných podvodů vozidel." Master's thesis, 2015. http://www.nusl.cz/ntk/nusl-249809.

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Thesis on "Expert systems analysis of insurance fraud in vehicle area" deals with insurance fraud in the Czech Republic, including the introduction of the legal process and the general division of insurance fraud and the realities of dealing with insurance losses. The practical part of the thesis deals with expert analysis of solution of claims, including detection and prediction of insurance fraud. The aim of this thesis is to provide statistical analysis of insurance fraud, ie. Evaluation of variations and correlations and statistical dependencies of various markers of insurance fraud in the

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Břicháčková, Kateřina. "Využití anotací primární struktury pro strukturní predikci protein-ligand aktivních míst." Master's thesis, 2021. http://www.nusl.cz/ntk/nusl-438360.

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The number of experimentally resolved protein structures in the Protein Data Bank has been growing fast in the last 20 years, which motivates the develop- ment of many computational tools for protein-ligand binding sites prediction. Binding sites prediction from protein 3D structure has many important applica- tions; it is an essential step in the complex process of rational drug design, it helps to infer the side-effects of drugs, it provides insight into proteins biological functions and it is helpful in many other fields, such as protein-ligand docking and molecular dynamics. As far as we k

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