The Assessment of a Building’s insurable Value using Multivariate Statistics: The Case of the Czech Republic

The Assessment of a Building’s insurable Value using Multivariate Statistics: The Case of the Czech Republic

When concluding a property insurance agreement, adjustment of the insured amount poses a certain risk. From the policyholder’s point of view, the risk measure translates into the chosen target amount, which should correspond to the insurable value.

Bibliographic Details
Main Authors: Cupal Martin, Sedlačík Marek, Michálek Jaroslav
Format: Article
Language:English
Published: Sciendo 2019-09-01
Series:Real Estate Management and Valuation
Subjects:
insurable value
building
cart algorithm
regression
classification tree
d46
c40
r30
Online Access:https://doi.org/10.2478/remav-2019-0027
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spelling doaj-e90af8a525c4478aa445d094a7d6be862021-09-05T14:01:21ZengSciendoReal Estate Management and Valuation2300-52892019-09-01273819610.2478/remav-2019-0027remav-2019-0027The Assessment of a Building’s insurable Value using Multivariate Statistics: The Case of the Czech RepublicCupal Martin0Sedlačík Marek1Michálek Jaroslav2Institute of Forensic Engineering, Brno University of TechnologyFaculty of Military Leadership, University of Defence, BrnoFaculty of Military Leadership, University of Defence, BrnoWhen concluding a property insurance agreement, adjustment of the insured amount poses a certain risk. From the policyholder’s point of view, the risk measure translates into the chosen target amount, which should correspond to the insurable value.https://doi.org/10.2478/remav-2019-0027insurable valuebuildingcart algorithmregressionclassification treed46c40r30
collection DOAJ
language English
format Article
sources DOAJ
author Cupal Martin
Sedlačík Marek
Michálek Jaroslav
spellingShingle Cupal Martin
Sedlačík Marek
Michálek Jaroslav
The Assessment of a Building’s insurable Value using Multivariate Statistics: The Case of the Czech Republic
Real Estate Management and Valuation
insurable value
building
cart algorithm
regression
classification tree
d46
c40
r30
author_facet Cupal Martin
Sedlačík Marek
Michálek Jaroslav
author_sort Cupal Martin
title The Assessment of a Building’s insurable Value using Multivariate Statistics: The Case of the Czech Republic
title_short The Assessment of a Building’s insurable Value using Multivariate Statistics: The Case of the Czech Republic
title_full The Assessment of a Building’s insurable Value using Multivariate Statistics: The Case of the Czech Republic
title_fullStr The Assessment of a Building’s insurable Value using Multivariate Statistics: The Case of the Czech Republic
title_full_unstemmed The Assessment of a Building’s insurable Value using Multivariate Statistics: The Case of the Czech Republic
title_sort assessment of a building’s insurable value using multivariate statistics: the case of the czech republic
publisher Sciendo
series Real Estate Management and Valuation
issn 2300-5289
publishDate 2019-09-01
description When concluding a property insurance agreement, adjustment of the insured amount poses a certain risk. From the policyholder’s point of view, the risk measure translates into the chosen target amount, which should correspond to the insurable value.
topic insurable value
building
cart algorithm
regression
classification tree
d46
c40
r30
url https://doi.org/10.2478/remav-2019-0027
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AT michalekjaroslav theassessmentofabuildingsinsurablevalueusingmultivariatestatisticsthecaseoftheczechrepublic
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AT sedlacikmarek assessmentofabuildingsinsurablevalueusingmultivariatestatisticsthecaseoftheczechrepublic
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