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Multiscale Scanning in Higher Dimensions: Limit theory, statistical consequences and an application in STED microscopyKönig, Claudia Juliane 26 June 2018 (has links)
No description available.
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Matematické a statistické metody pro podporu vývoje softwarových aplikací / Mathematical and Statistical Methods as Support of the Development of Software ApplicationsKrayzlová, Lucie January 2018 (has links)
This diploma thesis disserts mainly on the software application development created through language Visual Basic for Application, which serves to creation of macros and automation of work in Microsoft Excel. The Application is made specially for company PENTACO, spol. s.r.o. The software allows to calculate complete financial analysis of company for last 8 years. Statistical methods are used for prediction of future indicators. The financial analysis will reveal the weaknesses and strengths of the company and on their basis will be suggested solutions for fixing of problems and company situation.
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Posouzení ekonomické situace společnosti a návrhy na její zlepšení / Assessing Economic Situation of a Company and Proposals for Its ImprovementMatys, Jan January 2019 (has links)
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 sanctions is solution for problem the turnover of receivables and the use of surplus funds by investing in shares.
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Posouzení vybraných ukazatelů mezinárodní společnosti pomocí statistických metod / Assessment of Selected Indicators of an International Company Using Statistical MethodsZouharová, Daniela January 2021 (has links)
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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Kvantifikace přesnosti brousicího procesu / Quantification accuracy of abrasive processŘehák, Pavel January 2011 (has links)
In this work, there is described an abrasive process including technological terms with an identification of motions and a speed of grinding. Then there are described abrasive tools, machines, their distribution and description. Further technological factors on accuracy of abrasive process and some reached parameters of the accuracy and their statistic interpretation.
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Vizuální reprezentace dat jako nástroj pro prezentování veřejně dostupných dat statistických úřadů na webových stránkách / Visual data representation as a tool for presenting public data on statistical offices websitesBeránková, Simona January 2016 (has links)
anglicky The main task of this diploma thesis was to map conditions of statistical offices websites and review if They fulfill their mission toward public by providing public accessible data and how and if they use the visual representation as a tool for helping people to understand statistics. Klíčová slova - visualization, data, statistic office,statistics, milion, public,
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Capable Production ProcessEriksson, Sofi January 2017 (has links)
This master thesis is about capability analysis performed at Bosch Rexroth in Mellansel. The aim is to analyse the manufacturing process and to find where they are capable or not, by process observations and looking at the measured data over a period of time. The capability analysis is a statistical method, looking at both measured values of a produced part, as well as measurement distributions. It is used to find variation and predict future behaviour of the process. It is found that capability is a useful tool, and can be used to give manufacturing processes an index to measure the stability. The capability process is made in two steps. First the measuring tools are looked at, and if the tool is considered so that an operator can affect the process, then operator variation is as well looked at. When the measuring tool is capable the process data is analysed, to find or create a capable process. It was found that capability analysis is a powerful tool in order to give its production process a measurable value. The capability indices will provide answers if the process is stable or not, and it can be seen changes in stability over time. When working with capability easy method need to be establish in order to be able to fast provide the capability indices. It was also found that small changes in randomness of data can affect the result of the capability significantly, and cautions when data is not normal distributed when transforming data if needed. / I detta examensarbete är en kapabilitetsanalys genomförd hos Bosch Rexroth i Mellansel. Målet var att analysera deras tillverkningsprocess och hitta vart de är kapabel eller inte, genom att titta på processen och mätdata över en tidsperiod. En kapabilitetsprocess är en statisk metod, där man tittar på både mätvärden för producerade delar och fördelningar på mätdatat. Det används för att hitta variationer och för att kunna förutspå framtida händelser för en process. Kapabilitet är ett användbart verktyg och kan användas för att ge processen ett mätbart index för stabiliteten i processen. Kapabilitetsprocessen är genomfört i två steg. Först ses mätdonet över och om man antar att en operatör kan påverka mätutrustningen görs en operatörs variation för mätutrustningen. När mätutrustningen är kapabel analyseras insamlat mätdatat, för att se om processen är kapabel eller inte, då processen var icke kapabel utfördes en utvärdering på varför och hur de kan bli kapabel. Slutsatsen blev att kapabilitet är ett användbart verktyg för att kunna ge sin produktions process ett mätbart värde. Kapabilitetsindex kan ge svar på om process är stabil eller inte, man kan även se ändringar över en period av tid. Vid användning av kapabilitet är det viktigt att ha enkla arbetsmetoder för att snabbt kunna ge svar på processens kapabilitetindex, då små ändraringar på mätdatat kan ge märkbara ändringar på kapabiliteten. En viss aktsamhet behöver finnas då slumpvariationer på mätdatat uppstår och när en datainsamling inte är normalfördelat och eventuellt behöver transformeras.
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Optimal use of routinely collected data among pregnant women to improve malaria surveillance in Burkina Faso: Contribution of Bayesian spatiotemporal modellingRouamba, Toussaint 13 November 2020 (has links) (PDF)
Background: The control of malaria in pregnancy remains a large challenge in Burkina Faso, despite the adoption of control measures known to be effective. Known effective programs include individual measures, such as intermittent preventive treatment during pregnancy, and the use of long lasting insecticide nets and daily supplementation of ferrous sulphate (200 mg) along with folic acid. Besides these measures, health programs that aim at enhancing the well-being of the population and improve maternal and child health have emerged, including results-based financing (in 2014), a project promoting health in 130 communities (implemented in 2015), and free health care (implemented in 2016). This thesis attempts to assess the effects of health programs on the space–time patterns of malaria (morbidity and mortality) through routinely collected data in pregnancy and explore the various prediction approaches to address challenges in routine health data reporting. Methods: We utilized a substantial range of data and applied advanced quantitative approaches while considering the specific distribution of the data. Our thesis is based on the valorization (analyses) of malaria surveillance data (aggregated by space and time units) recorded in the health information system of Burkina Faso between 2011 and 2019. These analyses also integrate environmental remote sensing data, data from periodic surveys, and data from other sources. These data were coupled into a database. After performing appropriate descriptive analyses considering the complexity of the data design, we performed spatio-temporal Bayesian modeling to determine areas with high risk and assess the effect of health programs on the space–time patterns of malaria incidence among pregnant women at the community-level; to explore an approach to estimate health facility readiness from survey data designed to be regionally representative (and then quantify the effect of this readiness on severe-malaria cases and case fatality); and to explore the prediction approaches used to address challenges in routine health data reporting, thereby supporting a malaria early warning system. Results: Our results show spatial and temporal heterogeneity and indicate that the annual incidence of malaria increased between 2013 and 2018, while the mortality rate decreased significantly. Some communities with a high malaria burden experienced a reduction in their risk through the deployment of the health programs mentioned above. The risk of a pregnant woman dying from severe malaria was 2.5 times higher in districts with low operational capacity. Finally, our thesis proposed an approach to respond to crisis situations that would affect data collection and could be used to set the target or provide early warnings for epidemics or other notifications. Conclusion: Our thesis provides useful tools for disease surveillance in developing countries to help optimize the scarce resources in malaria high burden areas. The results of our thesis could be used by the Ministry of Health to strengthen the capacity of existing surveillance tools and to develop rational strategies and/or new tools for monitoring malaria cases and associated deaths in communities. / Contexte :La lutte contre le paludisme pendant la grossesse reste un grand défi au Burkina Faso, malgré l'adoption de mesures de contrôle dont l'efficacité est reconnue. Les programmes dont l'efficacité est reconnue comprennent des mesures individuelles, telles que le traitement préventif intermittent pendant la grossesse, l'utilisation de moustiquaires imprégnées d'insecticide de longue durée et la supplémentation quotidienne en sulfate ferreux (200 mg) ainsi qu'en acide folique. Outre ces mesures, des programmes de santé visant à accroître le bien-être de la population et à améliorer la santé maternelle et infantile ont vu le jour, notamment le financement basé sur les résultats (en 2014), le projet de promotion de la santé dans 130 communes (mis en œuvre en 2015) et la gratuité des soins de santé (mise en œuvre en 2016). Cette thèse tente d'évaluer les effets des programmes de santé sur les caractéristiques spatio-temporelles du paludisme (morbidité et mortalité) par le biais de données de routine collectées pendant la grossesse et d'explorer les différentes approches de prévision pour relever les défis de la rapportage systématique des données de santé. Méthodes :Nous avons utilisé un large éventail de données et appliqué des approches quantitatives avancées tout en tenant compte de la distribution spécifique des données. Notre thèse est basée sur la valorisation (analyses) des données de surveillance du paludisme (agrégées par unités spatiales et temporelles) enregistrées dans le système d'information sanitaire du Burkina Faso entre 2011 et 2019. Ces analyses intègrent également des données de télédétection environnementale, des données issues d'enquêtes périodiques et des données provenant d'autres sources. Ces données ont été couplées pour constituer une base de données. Après avoir effectué des analyses descriptives appropriées en tenant compte de la complexité de la conception des données, nous avons procédé à une modélisation bayésienne spatio-temporelle pour déterminer les zones à haut risque et évaluer l'effet des programmes de santé sur les tendances spatio-temporelles de l'incidence du paludisme chez les femmes enceintes au niveau communautaire ;pour explorer une approche permettant d'estimer la capacité opérationnelle des établissements de santé à partir de données d'enquête conçues pour être représentatives au niveau régional (et ensuite quantifier l'effet de cette capacité opérationnelle sur les cas de paludisme grave et la mortalité) ;et pour explorer les approches de prévision utilisées pour relever les défis relatifs au rapportaga systématique des données de santé, pouvant aussi servir à un système d'alerte précoce du paludisme. Résultats :Nos résultats montrent une hétérogénéité spatiale et temporelle et indiquent que l'incidence annuelle du paludisme a augmenté entre 2013 et 2018, tandis que le taux de mortalité a diminué de manière significative. Certaines communes où la charge du paludisme est élevée ont connu une réduction de leur risque grâce au déploiement des programmes de santé mentionnés ci-dessus. Le risque qu'une femme enceinte meure d'un paludisme grave était 2,5 fois plus élevé dans les districts ayant une faible capacité opérationnelle. Enfin, notre thèse a proposé une approche pour répondre aux situations de crise qui affecterait la collecte de données et pourrait être utilisée pour fixer l'objectif ou fournir des alertes précoces pour les épidémies ou autres notifications. Conclusion :Notre thèse fournit des outils utiles pour la surveillance des maladies dans les pays en développement afin de contribuer à optimiser les ressources limitées dans les zones à forte incidence de paludisme. Les résultats de notre thèse pourraient être utilisés par le ministère de la santé pour renforcer la capacité des outils de surveillance existants et pour développer des stratégies rationnelles et/ou de nouveaux outils de surveillance des cas de paludisme et des décès associés dans les communautés. / Doctorat en Sciences de la santé Publique / info:eu-repo/semantics/nonPublished
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Program pro sociologické zkoumání vztahu dětí k počítačovým hrám / Software for Sociological Research of the Relationship of Children to Computer GamesHercová, Světlana January 2008 (has links)
This thesis investigates different aspects of children's computer game world. In the opening chapters are described available computer games for kids, which are split into groups. After that follows theoretical introduction to the problems of sociological research and advantages of using computer and Internet for it. On the basis of observation are introduced three types of applications for investigation of children's interest and abilities in computer games and parents opinions. Two of them were already used for investigation within this thesis. Thesis also presents results of realized survey.
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Can IPO first day returns be predicted? A multiple linear regression analysis / Kan förstadagsavkastningen efter börsintroduktioner förutses? En multipel linjär regressionanalysGalijasevic, Amar, Tegbaru, Josef January 2019 (has links)
During the last three years the Swedish stock market has showed a strong upwards movement from the lows of 2016. At the same time the IPO activity has been large and a lot of the offerings have had a positive return during the first day of trading in the market. The goal of this study is to analyze if there is any particular IPO specific data that has a correlation with the first day return and if it can be used to predict the first day return for future IPO’s. If any regressors were shown to have correlation with the first day return, the goal is also to find a subset of regressors with even higher predictability. Then to classify which regressors show the highest correlation with a large positive return. The method which has been used is a multiple linear regression with IPO-data from the period 2017-2018. The results from the study imply that none of the chosen regressors show any significant correlation with the first day return. It is a complicated process which might be difficult to simplify and quantify into a regression model, but further studies are needed to draw a conclusion if there are any other qualitative factors which correlate with the first day return. / Under de senaste tre åren har den svenska aktiemarknaden visat en kraftigt uppåtgående rörelse från de låga nivåerna 2016. Samtidigt har det varit hög IPO-aktivitet, där många noteringar har haft en positiv avkastning under den första handelsdagen. Målet med denna studie är att analysera om det finns särskilda IPO-specifika faktorer som påvisar samband med avkastningen från första handelsdagen och om det kan användas för att förutsäga utvecklingen under första handelsdagen för framtida noteringar. Om regressorerna visade korrelation är målet sedan att ta fram de bästa av dessa för att se om det ökar modellens säkerhet. Vidare var det av intresse att visa vilka regressorer som korrelerar med en positiv avkastning. Metoden som användes var en multipel linjär regression med historisk data från perioden 2017-2018. Studiens resultat visar att ingen av de valda regressorerna har någon signifikant korrelation med avkastningen under första handelsdagen. Börsintroduktioner är komplicerade processer som kan vara svåra att förenkla och kvantifiera i en regressionsmodell, men ytterligare studier behövs för att dra en slutsats om det finns andra kvalitativa faktorer som kan förklara utvecklingen under första handelsdagen.
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