000			01522cam a2200289 4500
001			ABS67995
008			040714n2004 000 0 eng u
035			_a(Sirsi) u126771
100			_aNg, S.
245		3	_aAn integrated regression analysis and time series model for construction tender price index forecasting
260			_c2004
490			_aConstruction Management and Economics _v (22) June 2004, 483-493(11)
520			_aLooks at how clients can be kept informed of their likely future financial commitments and cost implications as the project design evolves. Suggests this requires estimation of building cost based on historic cost data which is updated by a forecasted tender price index. The reliability of the estimates depends on accurate projections being obtained for the forthcoming quarters. However, prediction of such price movement requires accurate judgment of future market conditions, such as inflation. Analyses the use of an integrated regression analysis and time series model to aid prediction of future costs. Tables, diagrams, formulae, graphs and references.
590			_aABS
590			_aABS
650			_aCOST ESTIMATES
650			_aTENDER PRICE FORECAST
650			_aTIME SERIES ANALYSIS
650			_aREGRESSION ANALYSIS
650			_aTENDER PRICE INDICES
650			_aBUILDING COST INDICES
690			_aBUILDING AND CONSTRUCTION-PROCUREMENT, PARTNERING, TENDERING
700			_aCheung, S.
700			_aSkitmore, M.
700			_aWong, T.
942			_n0
999			_c117692 _d117692