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Clustering and regression analysis of micro panel data
Sobíšek, Lukáš ; Pecáková, Iva (advisor) ; Komárek, Arnošt (referee) ; Brabec, Marek (referee)
The main purpose of panel studies is to analyze changes in values of studied variables over time. In micro panel research, a large number of elements are periodically observed within the relatively short time period of just a few years. Moreover, the number of repeated measurements is small. This dissertation deals with contemporary approaches to the regression and the clustering analysis of micro panel data. One of the approaches to the micro panel analysis is to use multivariate statistical models originally designed for crosssectional data and modify them in order to take into account the within-subject correlation. The thesis summarizes available tools for the regression analysis of micro panel data. The known and currently used linear mixed effects models for a normally distributed dependent variable are recapitulated. Besides that, new approaches for analysis of a response variable with other than normal distribution are presented. These approaches include the generalized marginal linear model, the generalized linear mixed effects model and the Bayesian modelling approach. In addition to describing the aforementioned models, the paper also includes a brief overview of their implementation in the R software. The difficulty with the regression models adjusted for micro panel data is the ambiguity of their parameters estimation. This thesis proposes a way to improve the estimations through the cluster analysis. For this reason, the thesis also contains a description of methods of the cluster analysis of micro panel data. Because supply of the methods is limited, the main goal of this paper is to devise its own two-step approach for clustering micro panel data. In the first step, the panel data are transformed into a static form using a set of proposed characteristics of dynamics. These characteristics represent different features of time course of the observed variables. In the second step, the elements are clustered by conventional spatial clustering techniques (agglomerative clustering and the C-means partitioning). The clustering is based on a dissimilarity matrix of the values of clustering variables calculated in the first step. Another goal of this paper is to find out whether the suggested procedure leads to an improvement in quality of the regression models for this type of data. By means of a simulation study, the procedure drafted herein is compared to the procedure applied in the kml package of the R software, as well as to the clustering characteristics proposed by Urso (2004). The simulation study demonstrated better results of the proposed combination of clustering variables as compared to the other combinations currently used. A corresponding script written in the R-language represents another benefit of this paper. It is available on the attached CD and it can be used for analyses of readers own micro panel data.
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Plan for improvement of internet marketing of chosen engineering company
Pokorný, Zdeněk ; Hinčica, Vít (advisor) ; Olšanová, Květa (referee)
The objective of this bachelor thesis is to evaluate the contemporary usage of internet marketing by company POKORNY, spol. s r. o. and at the same time to suggest its possible further development. Within contemporary usage of internet marketing is analysed company's website on the basis of its overall quality, content and its statistical values. In connection to company's website is subsequently analysed its optimization for search engines as well. Furthermore the thesis analyse usage of 2 social networks, which are Facebook and LinkedIn. Afterwards the thesis suggest possible further development of company's internet marketing which includes recommendation to eliminate discovered current deficiencies and suggestions to start using new available tools. The result of these recommendations should be better competitiveness of the company.
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Data Mining for Effective Customer Communication
Madhi, Simona ; Šperková, Lucie (advisor) ; Novotný, Ota (referee)
The aim of this paper is to describe and illustrate benefits of using Data Mining for effective customer communication. The objective is to perform a Data Mining analysis in order to achieve results with potentially beneficial influence on the company s relationship with its customers, while using the KNIME Analytics Platform tool. The paper introduces the theoretical aspect of Customer Relationship Management, Data Mining and the opportunities of using Data Mining to improve CRM; followed by a market analysis of available Data Mining tools and the introduction of the KNIME Analysis Platform. Furthermore, the knowledge thus reached is used for the performance of real data analysis with the aim of reaching customer knowledge that would be appropriate to use within CRM strategy and finally to positively influence the value of customer relationships.
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The Use of Data Analytics in Internal and External Audit
Tecáková, Andrea ; Říhová, Zora (advisor) ; Kadochová, Lucie (referee)
Data Analytics is one of the fast-developing applications of IT in organizations worldwide. This Master's thesis examines data analytics in the context of internal and external audit. Principal aim of the thesis is to identify the opportunities for data analytics application in both audit disciplines. Secondary goal is to design a data-analytical procedure, apply it to actual business data and thus demonstrate the benefits of employing data analytics. The thesis builds on a summary of theoretical sources of the relevant area, followed by a survey conducted by the author. The survey maps current state of data analytics usage in both internal and external audit in the Czech Republic. The added value of this thesis is, apart from the identification of audit areas in which it is beneficial to use data analytics, the design of an analytical procedure and its application. Another benefit is the survey revealing current state of the art and the insights of interviewed auditors, pointing to both benefits and problems of data analytics application to the performance of the audit profession.
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Valuation of the company Tank ONO, s.r.o.
Novák, Petr ; Strouhal, Jiří (advisor) ; Smrčka, Luboš (referee)
The output of this Master´s Thesis on the theme "Valuation of the company Tank ONO, s.r.o." is the estimation of market value of company as at the date of December 31, 2014, with the goal of selling off the company to a hypothetical general investor in the future. The theoretical part includes metodology and instruments used for company valuation, eg definition of main terms, explanation of valuation proces and methods, that are recognised as valid by specialised public. Afterwards, the second part (eg practical part) is aimed at applying the metodology in practice. First, the valuated company is shortly introduced and it is followed by financial and strategic analysis in order to evaluate the financial soundness and assess the perspective for company future. The conclusions of the above analysis are used for elaborating the value drivers and complex financial plan, that is followed by valuation of Tank ONO, s.r.o. In light of the company capital structure, there is chosen DCF equity method for final valuation, in this Thesis.
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Finanční analýza společnosti United Parcel Service Czech Republic, s. r. o. a srovnání s konkurenty
Roudnická, Markéta ; Staňková, Anna (advisor) ; Marek, Petr (referee)
This thesis is focused on the financial analysis of United Parcel Service Czech Republic, s. r. o. during the period from 2010 to 2014 and the subsequent comparison of its results with selected comparable companies. The thesis is divided into two parts. In the theoretical part the methods of the financial analysis are defined and the optimal values of each financial indicator are determined. In the second part the company is introduced and the specific values of the described indicators are calculated as well as there is an intercompany comparison realized. The conclusion of this thesis is dedicated to an accurate description of the current situation of the company in the context of both optimal values and values which are usually achieved by comparable companies.
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Geodiversity values as a basis for geosite and geomorphosite assessment: a case study from Žďárské vrchy Highland
Bajer, A. ; Kirchner, Karel ; Kubalíková, L.
Paper presents geodiversity values, geodiversity is understood as a set of geological, geomorphological and pedological components, including systems consisting of this components and geological, geomorphological and pedological processes. Geodiversity values are analyzed in relation to ecosystem values (e.g. cultural, functional value). Geodiversity values were used as basis for a methodical approach to geosite and geomorphosite assessment. Methodological approach is presented at selected sites in the top part of the Žďárské vrchy Highland. The acquired results can serve as a basis for geoconservation of PLA Žďárské vrchy, development of geotourism as well as an offer for extension geoeducational activities.\n
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Sorption and Stabilization of Metals/Mettalloids by Innovative Synthesized Sorbent Amochar.
Ouředníček, P. ; Trakal, L. ; Komárek, M. ; Pohořelý, Michael
Remediation of contaminated soil which is based on stabilization and immobilization of potential\nhazardous substance by sorption materials has been studied intensively nowadays. Biochar – activated organic carbon belongs to this group of stabilizing agents which can adsorb wide range of contaminants, including metals/metalloids. Surface area of the biochars is quite large in general and functional groups (e.g. COO–) can form chelates or alkaline elements on the surface, which is represented by cation exchange capacity. Altogether with the high pH values (7.00 – 10.00), biochars are quite effective sorbents and can adsorb metals/metalloids from the solution (ground water), especially in acidic soils (in the environments affected by intensive mining activities). Sorption\neffectiveness can be increased (especially for As (V) or Cr (VI) sorption) by modification of biochar by various types of secondary oxides. Innovative sorbent AMOchar (AMO + biochar) has been synthesized currently. The product was prepared by adding of biochar to the reaction solution during amorphous manganese oxide (AMO) synthesis. The AMOchar was formed mainly by Mn-oxalates which had coated surface of the pristine biochar. AMOchar composite was able to remove significantly higher amounts of various metal(loid)s from the solution despite the rather high pH of the material. Sorption effectiveness was high not only in case of Pb (II) sorption (almost 99%), and Cd(II) (51.2%), but also a very high amount of As(V), 91.4%. Additionally, both AMOchar composite was able to reduce Mn leaching. This can avoid potential post-contamination caused by the dissolution of less stable Mn-oxalates as observed in the pure AMO.
Fulltext: content.csg -  PDF
Plný tet: SKMBT_22316111113040 - PDF
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Diversity in the labor market
Gaydoshikova, Ekaterina ; Dvořák, Marek (advisor)
The aim of the thesis is to evaluate the issue of diversity of the labor market in the Czech Republic on the example of specific organizations, evaluate the implementation of the concept of diversity in the workplace on the basis of selected factors. When analyzing diversity is an emphasis on primary and secondary characters of diversity: age, gender, ethnicity, mental and physical abilities, marital status, religion, work experience. The work consists of two parts, theoretical and practical. The theoretical part defines concepts: diversity, equal opportunities, primary and secondary characters of diversity, acceptance of the importance of diversity as a value. The practical part deals with the implementation of diversity into practice on the basis of the analytical methods (analysis: workforce, documents and research positions) and draft incorporation into relevant strategic processes of the organization.
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Analysis breeding of milk cattle on the chosen biofarme
Plášková, Pavlína ; Toušová, Renata (advisor) ; Ducháček, Jaromír (referee)
The aim of this thesis is to evaluace the conditions of dairy cattle breeding in ecological agriculture and to compare them with concrete values taken from the chosen ecological farm Bílčice, which has been part of ecological agriculture since 2011 and which is focused on czech fleckvieh breeding and bio milk production. The first part deals with dairy cattle breed characteristic, main objectives and ecological agriculture principals, welfare problems, breed cattle and utility control, housing technology, nutrition and feeding, mechanical milking technology, milk production, reproduction, health condition and breeding economy. The practical part contains the rating of milk yield index (milk production, % proteins, % fat) and reproduction index ( meantime, perioda service, insemination index and after first parturition percentage). 650 pieces of cos were stabled at farm, from that 200 pices of dairy cos were mostly czech fleckvieh. Monitoring was made in 2013. Dayily milk production was around 2 750 kg. The milk utility for lactacion was in 2013 6 100 kg of milk, 3,89 % fat and 3,34 % proteins. The dairy cos were free stabled with high bedding, They were mechanically milked twice a day in herringbone parlours. Milk is being delivered once in twodays to Olma dairy. Cows are regularly driven out to pasture in summer feeding period. They are extra fed with 10 kg of clover silage and 6 kg of scarp (barely, wheat, triticale). Cows stays in stables for winter time. The ration consists of 45 kg of clover silage, 6 kg of scarp, 2 kg of lupine and 1 kg of corn in first time of lactacion. The cow utility in transitional form of economy at farm Bilcice was 7 477 kg of milk in 2010, a value in the Czech Republic was 7 726 kg of milk. After entering the ecological agriculture in 2013 milk yield at the farm decreased on 6 100 kg of milk and the average value in the Czech Republic increased to 8 370 kg of milk. The cow utility in transitional form was 4,03 % fat in 2010 and 3,89 % in 2013 (ecological agriculture). A diference between 2010 and 2013 is 0,14 %. Proteins were 3,39 % in 2010 and 3,34 % in 2013. There was average value for every reproduction index. The service period was 96 days and the meantime was 400 days, the insemination index was 1,8 and the after first parturition percentage was 54,2 %.
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