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  2. Point estimation - Wikipedia

    en.wikipedia.org/wiki/Point_estimation

    Point estimation can be contrasted with interval estimation: such interval estimates are typically either confidence intervals, in the case of frequentist inference, or credible intervals, in the case of Bayesian inference. More generally, a point estimator can be contrasted with a set estimator. Examples are given by confidence sets or ...

  3. Solution set - Wikipedia

    en.wikipedia.org/wiki/Solution_set

    In mathematics, the solution set of a system of equations or inequality is the set of all its solutions, that is the values that satisfy all equations and inequalities. [1] Also, the solution set or the truth set of a statement or a predicate is the set of all values that satisfy it. If there is no solution, the solution set is the empty set. [2]

  4. Minimax estimator - Wikipedia

    en.wikipedia.org/wiki/Minimax_estimator

    Example 3: Bounded normal mean: When estimating the mean of a normal vector (,), where it is known that ‖ ‖. The Bayes estimator with respect to a prior which is uniformly distributed on the edge of the bounding sphere is known to be minimax whenever M ≤ n {\displaystyle M\leq n\,\!} .

  5. Analysis of Alternatives - Wikipedia

    en.wikipedia.org/wiki/Analysis_of_Alternatives

    The "solution" may be a specific design or configuration but it is more than likely to be a set of design parameter values the combination of which would provide the most optimal and desirable means of fulfilling the stated requirements. Thus, any specific design that complies with the optimal "solution" parameter values is deemed acceptable.

  6. 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.

  7. Branch and bound - Wikipedia

    en.wikipedia.org/wiki/Branch_and_bound

    Initialize a queue to hold a partial solution with none of the variables of the problem assigned. Loop until the queue is empty: Take a node N off the queue. If N represents a single candidate solution x and f(x) < B, then x is the best solution so far. Record it and set B ← f(x). Else, branch on N to produce new nodes N i. For each of these:

  8. A priori estimate - Wikipedia

    en.wikipedia.org/wiki/A_priori_estimate

    A priori is Latin for "from before" and refers to the fact that the estimate for the solution is derived before the solution is known to exist. One reason for their importance is that if one can prove an a priori estimate for solutions of a differential equation, then it is often possible to prove that solutions exist using the continuity ...

  9. System of linear equations - Wikipedia

    en.wikipedia.org/wiki/System_of_linear_equations

    Thus the solution set may be a plane, a line, a single point, or the empty set. For example, as three parallel planes do not have a common point, the solution set of their equations is empty; the solution set of the equations of three planes intersecting at a point is single point; if three planes pass through two points, their equations have ...