Search results
Results from the WOW.Com Content Network
A cost estimator will typically use estimating software to estimate their bid price for a project, which will ultimately become part of a resulting construction contract. Some architects, engineers, construction managers, and others may also use cost estimating software to prepare cost estimates for purposes other than bidding such as budgeting ...
Cost estimation models are mathematical algorithms or parametric equations used to estimate the costs of a product or project. The results of the models are typically necessary to obtain approval to proceed, and are factored into business plans, budgets, and other financial planning and tracking mechanisms.
A building estimator or cost estimator is an individual that quantifies the materials, labor, and equipment needed to complete a construction project. Building cost estimating can concern diverse forms of construction from residential properties to hi-rise and civil works.
A Allocation of costs is the transfer of costs from one cost item to one or more other cost items. Allowance - a value in an estimate to cover the cost of known but not yet fully defined work. As-sold estimate - the estimate which matches the agreed items and price for the project scope. B Basis of estimate (BOE) - a document which describes the scope basis, pricing basis, methods ...
A cost estimate is the approximation of the cost of a program, project, or operation. The cost estimate is the product of the cost estimating process. The cost estimate has a single total value and may have identifiable component values. A problem with a cost overrun can be avoided with a credible, reliable, and accurate cost estimate. A cost ...
In statistics, the method of estimating equations is a way of specifying how the parameters of a statistical model should be estimated.This can be thought of as a generalisation of many classical methods—the method of moments, least squares, and maximum likelihood—as well as some recent methods like M-estimators.
Estimating the cost savings required to justify the purchase of new equipment. [13] Determining the cost of continuing with existing equipment. [14] Where an asset undergoes a major overhaul, and the cost is not fully reflected in salvage values, to calculate the optimum life (i.e., lowest EAC) of holding on to the asset. [15]
In statistics, ordinary least squares (OLS) is a type of linear least squares method for choosing the unknown parameters in a linear regression model (with fixed level-one [clarification needed] effects of a linear function of a set of explanatory variables) by the principle of least squares: minimizing the sum of the squares of the differences between the observed dependent variable (values ...