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Statistická analýza rizikových finančních faktorů podniku / Statistical Analysis of a Company Financial Risk FactorsRaclavský, Lukáš January 2014 (has links)
The master´s thesis contains a statistical analysis of a company financial risk. Within this analysis were determined the dominant economic and financial risk factors of a company and was made a description of selected inferential statistical methods adequate assessment of the state and time development of these indicators. On a PC was applied methodics developed for concrete data files with focusing on description of the expected risk development existence of a company. In conclusion were achievements evaluated and were determined another possible directions of solving similar problems.
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Předpovídání vývoje více časových řad při burzovním obchodování / Prediction of Multiple Time Series at Stock Market TradingPalček, Peter January 2012 (has links)
The diploma thesis comprises of a general approach used to predict the time series, their categorization, basic characteristics and basic statistical methods for their prediction. Neural networks are also mentioned and their categorization with regards to the suitability for prediction of time series. A program for the prediction of the progress of multiple time series in stock market is designed and implemented, and it's based on a model of flexible neuron tree, whose structure is optimized using immune programming and parameters using a modified version of simulated annealing or particle swarm optimization. Firstly, the program is tested on its ability to predict simple time series and then on its ability to predict multiple time series.
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Faculty Senate Minutes May 7, 2012University of Arizona Faculty Senate 07 May 2012 (has links)
This item contains the agenda, minutes, and attachments for the Faculty Senate meeting on this date. There may be additional materials from the meeting available at the Faculty Center.
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Financial Analysis and Fiscal Viability of Secondary Schools in Mukono District, UgandaTanner, Janet Jeffery 08 December 2006 (has links) (PDF)
Within the worldwide business community, many analysis tools and techniques have evolved to assist in the evaluation and encouragement of financial health and fiscal viability. However, in the educational community, such analysis is uncommon. It has long been argued that educational institutions bear little resemblance to, and should not be treated like, businesses. This research identifies an educational environment where educational institutions are, indeed, businesses, and may greatly benefit from the use of business analyses. The worldwide effort of Education for All (EFA) has focused on primary education, particularly in less developed countries (LDCs). In Sub-Saharan Africa, Uganda increased its primary school enrollments from 2.7 million in 1996 to 7.6 million in 2003. This rapid primary school expansion substantially increased the demand for secondary education. Limited government funding for secondary schools created an educational bottleneck. In response to this demand, laws were passed to allow the establishment of private secondary schools, operated and taxed as businesses. Revenue reports, filed by individual private schools with the Uganda Revenue Authority, formed the database for the financial analysis portion of this research. These reports, required of all profitable businesses in Uganda, are similar to audited corporate financial statements. Survey data and national examination (UNEB) scores were also utilized. This research explored standard business financial analysis tools, including financial statement ratio analysis, and evaluated the applicability of each to this LDC educational environment. A model for financial assessment was developed and industry averages were calculated for private secondary schools in the Mukono District of Uganda. Industry averages can be used by individual schools as benchmarks in assessing their own financial health. Substantial deviations from the norms signal areas of potential concern. Schools may take appropriate corrective action, leading to sustainable fiscal viability. An example of such analysis is provided. Finally, school financial health, defined by eight financial measures, was compared with quality of education, defined by UNEB scores. Worldwide, much attention is given to education and its role in development. This research, with its model for financial assessment of private LDC schools, offers a new and pragmatic perspective.
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