| 000 | 01056cam a2200277 4500 | ||
|---|---|---|---|
| 008 | 090401t1999 xxu||||| |||| 00| 0 eng d | ||
| 020 | _a0854069402 | ||
| 022 | _a1354-506X | ||
| 035 | _a(Sirsi) u91428 | ||
| 041 | _aeng | ||
| 050 | _a338.4369 | ||
| 110 |
_aRoyal Institution of Chartered Surveyors _94900 |
||
| 245 |
_aConstruction demand modelling _ba systematic approach to using economic indicators |
||
| 260 |
_aLondon _bRICS _c1999 |
||
| 300 |
_aii, 22p. _c30cm. |
||
| 350 | _a7.95 | ||
| 490 |
_aRICS Foundation Research Papers _v3(4) |
||
| 520 | _aConfirms that, firstly, demand in the construction industry is significantly related to a wide range of economic measures and, secondly, the models are able to produce accurate forecasts that satisfy the acceptable limit of 10%%%% mean absolute percentage error. Implications | ||
| 650 | _aCONSTRUCTION DEMAND | ||
| 650 | _aECONOMIC INDICATORS | ||
| 650 | _aMODELLING | ||
| 690 | _aBUILDING AND CONSTRUCTION-ECONOMICS | ||
| 700 | _aGoh, Bee-Hua | ||
| 942 | _n0 | ||
| 948 | _c18/02/1999 | ||
| 999 |
_c97639 _d97639 |
||