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The family house Ochoz u Brna, construction and technological stage gross substructure
Jakubcová, Monika ; Lízal,, Petr (referee) ; Biely, Boris (advisor)
This bachelor’s thesis is focused on technological execution of lower gross construction of family house in Ochoz u Brna. The content of this work is technological execution, solution to site equipment, scheduling, budget, design of machinery, checking and test plans, safety and protection of environment during execution relevant stage.
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versatile house
Jakubcová, Monika ; Mazánek, Pavel (referee) ; Mazánek, Pavel (advisor)
This thesis addresses the design of multi-purpose building with six floors. The building is located on gently sloping terrain in central Blansko, the plot number 2840th. The first floor is designed for services and other floors are designated for housing. The building has 8 flats – 1 room + kitchenette and 10 flats – 2 rooms + kitchenette, a total of 18 housing units. The supporting structural system is transverse. The walls of the house are built from blocks POROTHERM. The roof is designed as a flat. Windows and doors are wooden.
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Statistical analysis of censored data
Jakubcová, Monika ; Klášterecký, Petr (advisor) ; Kulich, Michal (referee)
Nazov prace: Statist icka analy/n cenzorovauych dat Antor: Monika .Ja.kubcova Katedra : Katedra pravdo])odol)iiosli a matematickej statisliky Vediici bakalarskej prace: Mgr. Petr Kla.sterecky e-itin.il veduccho: kla.stor.(i ka.rlin.niff.cuni.cz Abstrakt: Predlozena praca. podava prehlad o niektorych xakladnycli nieto- dach stat.isl.ickeho spracovania cenzorovaiiych dat. V iivodiiej kapitole uve- dieme akyni sposubom ccnzoruviUK'1 po/orovanio vxnika a pupi.seme zakladne typy cen/orova.nia,. Dalej sa oboznaminio s t'liukeijiini, ktcjre eeiixorova.ne data, popisujii a, icli v/ajomnymi v/,ta,hini. Nasleihu,1 nvedieine ne])arame- trlcke inet6(ly odluuln tyeht.o hinkcit. Uvedene odliady neskor ])ouzijeine pri koiistrukcii inter\alov S])olahli\"os(.i a ]>ri testovani hy]»)to/,. V xaverecnej kapitoh1 pripajame priklad, na ktorom deiuonst rnjeinc niektore z popi'saiiyoh inetod a spoyob praee s ( eii/orovaiiyiiii dat.a.ini v pro^,ra,ine R.. Kfueove slova: renzorovanie, eonzoroiiaiie data, funkria. pre/itia, Kaplanov- Meierov otlliad. log-rank test Title: Statistical analysis of censored data Author: Monika. Jakubcova Department.: Department of Probability and Mathematical Statistics Supervisor: Mgr. Petr KhlstenK'ky Suj)ervisor's e-mail address: klasterTikarlin.infr.cmii.cz Abstract: The presented work gives an...
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Stochastic dominance portfolio efficiency measures
Jakubcová, Monika ; Kopa, Miloš (advisor) ; Dupačová, Jitka (referee)
In the present work we study the stochastic dominance portfolio e ciency measures. The investor's risk attitude is given by the type of an utility function. If this information is unknown or a general investor is assumed, it is possible to use the stochastic dominance principle, in which the portfolio is only classi ed as e cient or ine cient. We build on the works of Post, Kuosmanen and Kopa, who formulated the criteria of portfolio e ciency for nonsatiate and risk averse investors. On the basis of these criteria, we de ne the second-order stochastic dominance (SSD) portfolio e ciency measures. We examine the properties of SSD ine ciency measures, which allow to compare SSD ine cient portfolios. We prove mutual relationships for the de ned SSD ine ciency measures. Eventually, we test the SSD e ciency of a US market portfolio on real-world US Stock Exchange data.
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Stochastic dominance portfolio efficiency measures
Jakubcová, Monika
In the present work we study the stochastic dominance portfolio e ciency measures. The investor's risk attitude is given by the type of an utility function. If this information is unknown or a general investor is assumed, it is possible to use the stochastic dominance principle, in which the portfolio is only classi ed as e cient or ine cient. We build on the works of Post, Kuosmanen and Kopa, who formulated the criteria of portfolio e ciency for nonsatiate and risk averse investors. On the basis of these criteria, we de ne the second-order stochastic dominance (SSD) portfolio e ciency measures. We examine the properties of SSD ine ciency measures, which allow to compare SSD ine cient portfolios. We prove mutual relationships for the de ned SSD ine ciency measures. Eventually, we test the SSD e ciency of a US market portfolio on real-world US Stock Exchange data.
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Stochastic dominance portfolio efficiency measures
Jakubcová, Monika ; Dupačová, Jitka (referee) ; Kopa, Miloš (advisor)
In the present work we study the stochastic dominance portfolio e ciency measures. The investor's risk attitude is given by the type of an utility function. If this information is unknown or a general investor is assumed, it is possible to use the stochastic dominance principle, in which the portfolio is only classi ed as e cient or ine cient. We build on the works of Post, Kuosmanen and Kopa, who formulated the criteria of portfolio e ciency for nonsatiate and risk averse investors. On the basis of these criteria, we de ne the second-order stochastic dominance (SSD) portfolio e ciency measures. We examine the properties of SSD ine ciency measures, which allow to compare SSD ine cient portfolios. We prove mutual relationships for the de ned SSD ine ciency measures. Eventually, we test the SSD e ciency of a US market portfolio on real-world US Stock Exchange data.
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Stochastic dominance portfolio efficiency measures
Jakubcová, Monika
In the present work we study the stochastic dominance portfolio e ciency measures. The investor's risk attitude is given by the type of an utility function. If this information is unknown or a general investor is assumed, it is possible to use the stochastic dominance principle, in which the portfolio is only classi ed as e cient or ine cient. We build on the works of Post, Kuosmanen and Kopa, who formulated the criteria of portfolio e ciency for nonsatiate and risk averse investors. On the basis of these criteria, we de ne the second-order stochastic dominance (SSD) portfolio e ciency measures. We examine the properties of SSD ine ciency measures, which allow to compare SSD ine cient portfolios. We prove mutual relationships for the de ned SSD ine ciency measures. Eventually, we test the SSD e ciency of a US market portfolio on real-world US Stock Exchange data.
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Statistical analysis of censored data
Jakubcová, Monika ; Kulich, Michal (referee) ; Klášterecký, Petr (advisor)
Nazov prace: Statist icka analy/n cenzorovauych dat Antor: Monika .Ja.kubcova Katedra : Katedra pravdo])odol)iiosli a matematickej statisliky Vediici bakalarskej prace: Mgr. Petr Kla.sterecky e-itin.il veduccho: kla.stor.(i ka.rlin.niff.cuni.cz Abstrakt: Predlozena praca. podava prehlad o niektorych xakladnycli nieto- dach stat.isl.ickeho spracovania cenzorovaiiych dat. V iivodiiej kapitole uve- dieme akyni sposubom ccnzoruviUK'1 po/orovanio vxnika a pupi.seme zakladne typy cen/orova.nia,. Dalej sa oboznaminio s t'liukeijiini, ktcjre eeiixorova.ne data, popisujii a, icli v/ajomnymi v/,ta,hini. Nasleihu,1 nvedieine ne])arame- trlcke inet6(ly odluuln tyeht.o hinkcit. Uvedene odliady neskor ])ouzijeine pri koiistrukcii inter\alov S])olahli\"os(.i a ]>ri testovani hy]»)to/,. V xaverecnej kapitoh1 pripajame priklad, na ktorom deiuonst rnjeinc niektore z popi'saiiyoh inetod a spoyob praee s ( eii/orovaiiyiiii dat.a.ini v pro^,ra,ine R.. Kfueove slova: renzorovanie, eonzoroiiaiie data, funkria. pre/itia, Kaplanov- Meierov otlliad. log-rank test Title: Statistical analysis of censored data Author: Monika. Jakubcova Department.: Department of Probability and Mathematical Statistics Supervisor: Mgr. Petr KhlstenK'ky Suj)ervisor's e-mail address: klasterTikarlin.infr.cmii.cz Abstract: The presented work gives an...
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versatile house
Jakubcová, Monika ; Mazánek, Pavel (referee) ; Mazánek, Pavel (advisor)
This thesis addresses the design of multi-purpose building with six floors. The building is located on gently sloping terrain in central Blansko, the plot number 2840th. The first floor is designed for services and other floors are designated for housing. The building has 8 flats – 1 room + kitchenette and 10 flats – 2 rooms + kitchenette, a total of 18 housing units. The supporting structural system is transverse. The walls of the house are built from blocks POROTHERM. The roof is designed as a flat. Windows and doors are wooden.
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The family house Ochoz u Brna, construction and technological stage gross substructure
Jakubcová, Monika ; Lízal,, Petr (referee) ; Biely, Boris (advisor)
This bachelor’s thesis is focused on technological execution of lower gross construction of family house in Ochoz u Brna. The content of this work is technological execution, solution to site equipment, scheduling, budget, design of machinery, checking and test plans, safety and protection of environment during execution relevant stage.
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