Details
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 1 |
| Seiten (von - bis) | 47-66 |
| Seitenumfang | 18 |
| Fachzeitschrift | Journal of Property Tax Assessment & Administration |
| Jahrgang | 11 |
| Ausgabenummer | 1 |
| Publikationsstatus | Veröffentlicht - 2014 |
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Least Squares Collocation as an Enhancement to Multiple Regression Analysis in Mass Appraisal Applications. / Zaddach, S.; Alkhatib, Hamza.
in: Journal of Property Tax Assessment & Administration, Jahrgang 11, Nr. 1, 1, 2014, S. 47-66.
in: Journal of Property Tax Assessment & Administration, Jahrgang 11, Nr. 1, 1, 2014, S. 47-66.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
Zaddach, S & Alkhatib, H 2014, 'Least Squares Collocation as an Enhancement to Multiple Regression Analysis in Mass Appraisal Applications', Journal of Property Tax Assessment & Administration, Jg. 11, Nr. 1, 1, S. 47-66.
Zaddach, S., & Alkhatib, H. (2014). Least Squares Collocation as an Enhancement to Multiple Regression Analysis in Mass Appraisal Applications. Journal of Property Tax Assessment & Administration, 11(1), 47-66. Artikel 1.
Zaddach S, Alkhatib H. Least Squares Collocation as an Enhancement to Multiple Regression Analysis in Mass Appraisal Applications. Journal of Property Tax Assessment & Administration. 2014;11(1):47-66. 1.
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title = "Least Squares Collocation as an Enhancement to Multiple Regression Analysis in Mass Appraisal Applications",
author = "S. Zaddach and Hamza Alkhatib",
year = "2014",
language = "English",
volume = "11",
pages = "47--66",
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Download
TY - JOUR
T1 - Least Squares Collocation as an Enhancement to Multiple Regression Analysis in Mass Appraisal Applications
AU - Zaddach, S.
AU - Alkhatib, Hamza
PY - 2014
Y1 - 2014
M3 - Article
VL - 11
SP - 47
EP - 66
JO - Journal of Property Tax Assessment & Administration
JF - Journal of Property Tax Assessment & Administration
SN - 1357-1419
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M1 - 1
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