| 000 | 01465cad a2200265 4500 | ||
|---|---|---|---|
| 001 | L159061 | ||
| 008 | 100215n2013 000 0 eng u | ||
| 020 | _a9781783210305 | ||
| 035 | _a(Sirsi) u159061 | ||
| 041 | _aeng | ||
| 100 | 1 | _aAlkhatib, Hamza | |
| 111 | 2 |
_aConstruction and Building Research Conference _cIIT Delhi, New Delhi _d10-12 September 2013 |
|
| 245 | 0 | 0 |
_aRobust Bayesian regression approach for areas with small numbers of purchases _h[electronic resource] |
| 260 |
_aLondon _bRICS _c2013 |
||
| 490 | 0 |
_aCOBRA _v2013 |
|
| 520 | _aA paper presented at the COBRA Conference in New Delhi on 10-12 September 2013. Introduces a robust Bayesian approach to integrate experts' knowledge in data-driven models with a small sample size, such as the multiple linear regression analysis. The focus lies on one and two family houses. In order to simulate the market with few purchases, the data is methodically reduced, such as for cases in the edges or in the centre of the data. | ||
| 650 | 2 | 4 | _aCONSTRUCTION AND BUILDING RESEARCH CONFERENCE (COBRA) |
| 650 | 2 | 4 | _aREGRESSION ANALYSIS |
| 650 | 2 | 4 | _aCOMPARABLE EVIDENCE IN PROPERTY VALUATION |
| 651 | 4 | _aGermany | |
| 690 |
_aValuation _96273 |
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| 700 | 1 | _aWeitkamp, Alexandra | |
| 856 | 4 | 0 |
_uhttps://www.rics.org/Global/Paper%2070%20ROBUST%20BAYESIAN%20REGRESSION%20APPROACH%20FOR%20AREAS%20WITH%20SMALL%20NUMBERS%20OF%20PURCHASES.pdf _zView this item free of charge at www.rics.org |
| 942 | _n0 | ||
| 999 |
_c115655 _d115655 |
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