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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Projektová dokumentace jednogeneračního rodinného domku v Rudolfově v rozsahu pro vydání stavebního povolení. / A project documentation of a onegeneration family detached house in Rudolfov written in an immensity needed to issue the building licence

ZEMANOVÁ, Alice January 2008 (has links)
This thesis explains basic, usually used constructional terms, describes the rules for drafting the projection drawings and it informs about legislative directives, which acompany every process of construction. It also mentions possibilities of building materials offered on the czech market. The work talks about wooden buildings, about constructions of bricks, enumerates advantages of insulation and presents the types of roofcoverings. It also describes the positives and negatives of classic heating and informs about new alternatives, which use bottomless natural sources. The most expanded windows in our country {--} thus the windows of wood and plastic are mentioned as well in the thesis. It presents some specialist´s opinions of most discussed themes in the building industry, it introduces new trends like thermal pump, solar collector and recuperation. Results of this work contain description of two solutionvariants, valuation of a detached house and determining of necessary construction costs. The thesis includes also a technical report and calculation of energy demands.
2

Statistical Methods for Analysis of the Homeowner's Impact on Property Valuation and Its Relation to the Mortgage Portfolio / Statistiska metoder för analys av husägarens påverkan på husvärdet och dess koppling till Hamell

Hamell, Clara January 2020 (has links)
The current method for house valuations in mortgage portfolio models corresponds to applying a residential property price index (RPPI) to the purchasing price (or last known valuation). This thesis introduces an alternative house valuation method, which combines the current one with the bank's customer data. This approach shows that the gap between the actual house value and the current estimated house value can to some extent be explained by customer attributes, especially for houses where the homeowner is a defaulted customer. The inclusion of customer attributes can either reduce false overestimation or predict whether or not the current valuation is an overestimation or underestimation. This particular property is of interest in credit risk, as false overestimations can have negative impacts on the mortgage portfolio. The statistical methods that were used in this thesis were the data mining techniques regression and clustering. / De modeller och tillvägagångssätt som i dagsläget används för husvärdering i bolåneportföljen bygger på husprisindexering och köpesskilling. Denna studie introducerar ett alternativt sätt att uppskattta husvärdet, genom att kombinera dagens metod med bankens egna kunddata. Det här tillvägagångssättet visar på att gapet mellan det faktiska och det uppskattade husvärdet kan i viss mån förklaras av kunddata, framförallt där husägaren är en fallerad kund. Inkluderandet av kunddata kan både minska dagens övervärdering samt predicera huruvida dagens uppskattning är en övervärdering eller undervärdering. För fallerade kunder gav den alternativa husvärderingen ett mer sanningsenligt uppskattat värde av försäljningspriset än den traditionella metoden. Denna egenskap är av intresse inom kreditrisk, då en falsk övervärdering kan ha negativa konsekvenser på bolåneportföljen, framförallt för fallerade kunder. De statistiska verktyg som användes i denna studie var diverse regressionsmetoder samt klusteranalys.

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