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  2. Construction estimating software - Wikipedia

    en.wikipedia.org/wiki/Construction_estimating...

    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 ...

  3. Building estimator - Wikipedia

    en.wikipedia.org/wiki/Building_estimator

    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.

  4. Roof pitch - Wikipedia

    en.wikipedia.org/wiki/Roof_pitch

    Roof pitch is the steepness of a roof expressed as a ratio of inch(es) rise per horizontal foot (or their metric equivalent), or as the angle in degrees its surface deviates from the horizontal. A flat roof has a pitch of zero in either instance; all other roofs are pitched .

  5. Cost estimate - Wikipedia

    en.wikipedia.org/wiki/Cost_estimate

    A cost estimate is often used to establish a budget as the cost constraint for a project or operation. In project management, project cost management is a major functional division. Cost estimating is one of three activities performed in project cost management. [3] In cost engineering, cost estimation is a basic activity. A cost engineering ...

  6. Residual sum of squares - Wikipedia

    en.wikipedia.org/wiki/Residual_sum_of_squares

    The general regression model with n observations and k explanators, the first of which is a constant unit vector whose coefficient is the regression intercept, is = + where y is an n × 1 vector of dependent variable observations, each column of the n × k matrix X is a vector of observations on one of the k explanators, is a k × 1 vector of true coefficients, and e is an n× 1 vector of the ...

  7. Least squares - Wikipedia

    en.wikipedia.org/wiki/Least_squares

    The result of fitting a set of data points with a quadratic function Conic fitting a set of points using least-squares approximation. In regression analysis, least squares is a parameter estimation method based on minimizing the sum of the squares of the residuals (a residual being the difference between an observed value and the fitted value provided by a model) made in the results of each ...

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