Titel: The comparative study of predication equations for value calculation 1-RM at the squat and the dead lift. Aim: To evaluate the most exact equation for the calculation 1-RM on the basis of comparation of extracted data with predication equations at the squat and the dead lift. Research complex: The research complex is created by the soldiers of Army of Czech Republic. They are the men at the age from 20 to 40 with health classification A. Used methods: The comparative method with the using of experimental testing. Results: By the mutual comparation of data we have found out, that the most exact predication equation for the calculation 1-RM in a squat or in a dead lift is from the authors O'Conner et al. Squat was predicted with correlation coefficient r = 0.975 and deadlift with a value of r = 0.951. Keywords: sqaut, dead lift, 1-RM, prediction equation, correlation coefficient.

Relevant path planning using public transport is limited by reliability of the transportation network. In some cases it turns out that we can plan paths with respect to expected delays and hereby improve the reliability of the resulting path. This study focuses on prediction of the delays in public transport systems using data from vehicle tracking systems -- known as the AVL data. These data are typically collected by the transit operators. Various algorithms are compared using real data from Prague trams tracking system. The study also includes a discussion about a possible utilization of the information gained from the used methods in passenger information systems. Powered by TCPDF (www.tcpdf.org)

In this thesis, we analyze new possibilities in predicting daily ranges, i.e. the differences between daily high and low prices. The main focus of our work lies in investigating how models commonly used for daily ranges modeling can be enhanced to provide better forecasts. In this respect, we explore the added benefit of using more efficient volatility measures as predictors of daily ranges. Volatility measures considered in this work include realized measures of variance (realized range, realized variance) and range-based volatility measures (Parkinson, Garman & Klass, Rogers & Satchell, etc). As a subtask, we empirically assess efficiency gains in volatility estimation when using range-based estimators as opposed to simple daily ranges. As another venue of research in this work, we analyze the added benefit of slicing the trading day into different sessions based on trading activity (e.g. Asian, European and American session). In this setting we analyze whether whole-day volatility measures reliably aggregate information coming from all trading sessions. We are led by intuition that different sessions exhibit significantly different characteristics due to different order book thicknesses and trading activity in general. Thus these sessions are expected to provide valuable information concealed in...

This research focuses mainly on the evaluation of interest rates predictions (predictions of 3M PRIBOR rate) published by Czech national bank. In the first part of the thesis reasons and potential central bank's benefits of the publishing of interest rate predictions are presented, based on the current academic literature. In the next chapters econometric and non-econometric evaluation of Czech national bank forecasts is provided. Furthermore, predictions from Czech Treasury, random walk process and my own autoregressive and vector autoregressive predictions were evaluated as well. It has been concluded that Czech national bank produces and publishes the most accurate based on non-econometric and econometric evaluation of all examined predictions. Moreover during the F-test evaluation procedure, the forecasts of Czech national bank proved themselves to be unbiased for the longest time horizon of all examined predictions. Powered by TCPDF (www.tcpdf.org)

Title: Refine the prediction process for the software Combatfit Aim: Find more accurate method to predict for the need of software Combatfit. Compare software prediction with field measurements and suitable alternative for predicting. The methods used: The thesis is empiric - teoretic research and it is consist of two parts. 1) Teoretic part - analytic work 2) Empiric part - metodologic study Results: The nomogram was chosen as a suitable way of prediction. The research was realized at 3 km, 8 km and 10 km on track in the field. The measured times were used to compare the predicted time by software Combatfit with time prediction according to the nomogram. It was found that the nomogram predictions outperforms software Combatfit. Furthermore it was determined tightness of the relationship between predicted and measured time in either process. The tightness of the relationship with the nomogram was very high up to absolute. The tightness of the relationship with the software Comatfit was moderate. This statement applies to test files that was used. It is not entirely clear whether this would achieve the same conclusions for other performance groups. Key words: Software Combatfit, prediction of performance, movement, external conditions, nomograme.

The thesis deals with the determination and analysis of government support for building savings in the Czech republic between 2001 and 2009. The general section describes the legal framework of building savings system and the main products offered by building societies. The application section examines the progression of government support for building savings and delas with its forecasts.

Dissertation thesis deals with the topic of capital adequacy of financial institutions and tries to solve the problem of default and its prediction. In the theoretical part, the thesis provides summarization of historic and current approaches to capital adequacy of financial institutions and also presents currently used methodology of scoring models, which predict default of companies. Application part of the thesis aims to develop a scoring model, which would be usable by financial institutions for evaluation of their clients and their tendency to default.

The thesis aim is to examine and evaluate the Metrostav a.s financial health during the years 2005 and 2009 even in the context of economic crisis. The thesis is divided into two main parts. The first one, theoretical - methodological part, describes the various methods of financial analysis, which are gradually being applied in the practical part. The content of the practical part is a brief description of the company and the construction sector, followed by the very core of financial analysis. At the end there are summarized learned knowledge of applied methods and interpreted results of financial analysis.

All species of orchids are sensitive plants and records of their distribution are rare. Their rarity is related to their complex biology and their sensitivity to changes in the environment. It is necessary to pay attention to these threatened species, so that we could preserve them from extinction. For their effective protection we need to know the main causes of extinction of their localities. It is also useful to know the factors, which determine their distribution, so that we could find new localities, where they occur. In this thesis I analyzed some climatic, geographic and ecological factors in the Jeseníky mountains and their surroundings. First, I visited localities of orchids, which were registered in large databases of their presence in the past. The four most numerous species were analyzed using the program MaxEnt. Based on the revisions, existence of 2/3 of the revised localities was confirmed, 8% of the revised localities became extinct because of overgrowth or due to human intervention in the landscape. From the MaxEnt results it is clear, that for all species the most important factor at the 50 × 50 m scale, is the type of biotope and heterogeneity of the countryside. The most suitable biotopes are floodplain and wetland forests, mesophile meadows, natural scrubs, peat bogs and...

The diploma thesis is focused on the analysis of prediction of tax revenues in conditions of cities Polička, Svitavy and Litomyšl. The main objective was to determine how surveyed municipalities predict their tax revenues, how accurate their estimates are and, in particular, whether it is possible to achieve more accurate results based on basic statistical methods. Minor objectives of this work were the description of how the individual municipalities forecast tax revenues, how the forecasts are integrated into the budget process and how this issue is dealt with in the United States. The results of the analysis showed that it is not possible to get more accurate predictions using basic quantitative models. It turned out that the quality of predictions of the statistical models was similar to the quality of the municipal estimates, even at forecasts of those tax revenues, where the deviation from the real revenue is quite high.