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Folia oeconomica Stetinensia : FOS
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Impact of the regularization of regression models on the results of the mass valuation of real estate
Gnat, Sebastian
- In:
Folia oeconomica Stetinensia : FOS
20
(
2020
)
1
,
pp. 163-176
Persistent link: https://www.econbiz.de/10012627805
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2
Analysis of the impact of the type of sampling of representative properties on the results of mass appraisal
Gnat, Sebastian
- In:
Folia oeconomica Stetinensia : FOS
20
(
2020
)
2
,
pp. 152-167
Persistent link: https://www.econbiz.de/10012628086
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3
Spatial weight matrix impact on real estate hierarchical clustering in the process of mass valuation
Gnat, Sebastian
- In:
Oeconomia Copernicana
10
(
2019
)
1
,
pp. 131-151
Persistent link: https://www.econbiz.de/10012230286
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4
Powierzchniowy a katastralny system opodatkowania nieruchomości : symulacja wybranych skutków fiskalnych
Gnat, Sebastian
- In:
Annales Universitatis Mariae Curie-Skłodowska / H
50
(
2016
)
1
,
pp. 371-380
Persistent link: https://www.econbiz.de/10011706073
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5
Parametric and non-parametric methods in mass appraisal on poorly developed real estate markets
Gnat, Sebastian
;
Doszyń, Mariusz
- In:
European research studies
23
(
2020
)
4
,
pp. 1230-1245
Persistent link: https://www.econbiz.de/10012511319
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6
The econometric procedures of specific transaction identification
Doszyń, Mariusz
;
Gnat, Sebastian
;
Bas, Marcin
- In:
Folia oeconomica Stetinensia : FOS
17
(
2017
)
1
,
pp. 20-30
Persistent link: https://www.econbiz.de/10011780312
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7
Tests for the presence of price convergence on residential property market in several districts of Szczecin in 2006-2009
Gnat, Sebastian
- In:
Folia oeconomica Stetinensia : FOS
16
(
2016
)
1
,
pp. 186-195
Persistent link: https://www.econbiz.de/10011713574
Saved in:
8
Identification and classification of real estate features for the purpose of an algorithm-based valuation : case study within Szczecin
Kokot, Sebastian
;
Gnat, Sebastian
- In:
Folia oeconomica Stetinensia : FOS
19
(
2019
)
2
,
pp. 38-55
Persistent link: https://www.econbiz.de/10012261995
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