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  2. Basis of estimate - Wikipedia

    en.wikipedia.org/wiki/Basis_of_estimate

    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 ...

  3. Software development effort estimation - Wikipedia

    en.wikipedia.org/wiki/Software_development...

    Software development effort estimation. In software development, effort estimation is the process of predicting the most realistic amount of effort (expressed in terms of person-hours or money) required to develop or maintain software based on incomplete, uncertain and noisy input.

  4. Cost estimate - Wikipedia

    en.wikipedia.org/wiki/Cost_estimate

    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.

  5. Try Our New Workout Finder Tool To Discover The Perfect ...

    www.aol.com/try-workout-finder-tool-discover...

    This is fitness, *your* way. You Might Also Like. Jennifer Garner Swears By This Retinol Eye Cream. These New Kicks Will Help You Smash Your Cross-Training Goals. Show comments. Advertisement.

  6. Cost database - Wikipedia

    en.wikipedia.org/wiki/Cost_database

    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.

  7. Robust statistics - Wikipedia

    en.wikipedia.org/wiki/Robust_statistics

    The trimmed mean is a simple, robust estimator of location that deletes a certain percentage of observations (10% here) from each end of the data, then computes the mean in the usual way. The analysis was performed in R and 10,000 bootstrap samples were used for each of the raw and trimmed means.

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