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  2. Efficiency (statistics) - Wikipedia

    en.wikipedia.org/wiki/Efficiency_(statistics)

    In statistics, efficiency is a measure of quality of an estimator, of an experimental design, [1] or of a hypothesis testing procedure. [2] Essentially, a more efficient estimator needs fewer input data or observations than a less efficient one to achieve the Cramér–Rao bound.

  3. List of orthodontic functional appliances - Wikipedia

    en.wikipedia.org/wiki/List_of_Orthodontic...

    Upper and Lower Jaw Functional Expanders. This is a comprehensive list of functional appliances that are used in the field of orthodontics.The functional appliances can be divided into fixed and removable.

  4. Retainer (orthodontics) - Wikipedia

    en.wikipedia.org/wiki/Retainer_(orthodontics)

    The Begg retainers have the labial bow extending around the distal aspect of the terminal molar. [10] They allow occlusal settling, as no wire work crosses the occlusion. Begg retainers are robust enough to be worn during eating, [11] however they are more retentive than Hawley retainers and the labial bow is less prone to distortion. [12]

  5. Optimal experimental design - Wikipedia

    en.wikipedia.org/wiki/Optimal_experimental_design

    When the statistical model has several parameters, however, the mean of the parameter-estimator is a vector and its variance is a matrix. The inverse matrix of the variance-matrix is called the "information matrix". Because the variance of the estimator of a parameter vector is a matrix, the problem of "minimizing the variance" is complicated.

  6. Regular estimator - Wikipedia

    en.wikipedia.org/wiki/Regular_estimator

    The convergence of a regular estimator's distribution is, in a sense, locally uniform. This is often considered desirable and leads to the convenient property that a small change in the parameter does not dramatically change the distribution of the estimator.

  7. Estimating equations - Wikipedia

    en.wikipedia.org/wiki/Estimating_equations

    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.

  8. Minimum-variance unbiased estimator - Wikipedia

    en.wikipedia.org/wiki/Minimum-variance_unbiased...

    In statistics a minimum-variance unbiased estimator (MVUE) or uniformly minimum-variance unbiased estimator (UMVUE) is an unbiased estimator that has lower variance than any other unbiased estimator for all possible values of the parameter.

  9. Glossary of construction cost estimating - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_construction...

    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 ...