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Many construction cost estimators continue to rely primarily upon manual methods, hard copy documents, and/or electronic spreadsheets such as Microsoft Excel. While spreadsheets are relatively easy to master and provide a means to create and report a construction cost estimate and or cost models, their benefit comes largely from their ability ...
IQR and MAD. One of the most common robust measures of scale is the interquartile range (IQR), the difference between the 75th percentile and the 25th percentile of a sample; this is the 25% trimmed range, an example of an L-estimator. Other trimmed ranges, such as the interdecile range (10% trimmed range) can also be used.
Basis of estimate. Basis of estimate ( BOE) is a tool used in the field of project management by which members of the project team, usually estimators, project managers, or cost analysts, calculate the total cost of the project. Through carefully planned equations, hierarchical listing of elements, standard calculations, checklists of project ...
Inverse probability weighting. Inverse probability weighting is a statistical technique for estimating quantities related to a population other than the one from which the data was collected. Study designs with a disparate sampling population and population of target inference (target population) are common in application. [ 1]
The most basic element of a cost estimate and therefore the cost database is the estimate line item or work item. [3] An example is "Concrete, 4000 psi (30 MPa)," which is the description of the item. In the cost database, an item is a row or record in a table (of items) and the description is a column or field for that record.
Robust statistics are statistics that maintain their properties even if the underlying distributional assumptions are incorrect. Robust statistical methods have been developed for many common problems, such as estimating location, scale, and regression parameters. One motivation is to produce statistical methods that are not unduly affected by ...
Mathematics portal. v. t. e. In estimation theory and decision theory, a Bayes estimator or a Bayes action is an estimator or decision rule that minimizes the posterior expected value of a loss function (i.e., the posterior expected loss ). Equivalently, it maximizes the posterior expectation of a utility function.
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.