enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Weighted product model - Wikipedia

    en.wikipedia.org/wiki/Weighted_product_model

    The weighted product model (WPM) is a popular multi-criteria decision analysis (MCDA) / multi-criteria decision making (MCDM) method. It is similar to the weighted sum model (WSM) in that it produces a simple score, but has the very important advantage of overcoming the issue of 'adding apples and pears' i.e. adding together quantities measured in different units.

  3. Patchwork (board game) - Wikipedia

    en.wikipedia.org/wiki/Patchwork_(board_game)

    Players begin a game of Patchwork with five buttons, and take turns moving around a time-track board, [3] about which are dispersed polyomino tiles representing fabric. [2] [1] During their turn, they may choose one of three tiles available along the path, which determines the distance travelled on the central board and the choices available to the next player. [4]

  4. Decision-matrix method - Wikipedia

    en.wikipedia.org/wiki/Decision-matrix_method

    The number of times "better" and "worse" appeared for each design is then displayed, but not summed up. A weighted decision matrix operates in the same way as the basic decision matrix but introduces the concept of weighting the criteria in order of importance. The more important the criterion the higher the weighting it should be given. [2]

  5. Inverse probability weighting - Wikipedia

    en.wikipedia.org/wiki/Inverse_probability_weighting

    A solution to this problem is to use an alternate design strategy, e.g. stratified sampling. Weighting, when correctly applied, can potentially improve the efficiency and reduce the bias of unweighted estimators. One very early weighted estimator is the Horvitz–Thompson estimator of the mean. [3]

  6. Multiplicative weight update method - Wikipedia

    en.wikipedia.org/wiki/Multiplicative_Weight...

    The multiplicative weights update method is an algorithmic technique most commonly used for decision making and prediction, and also widely deployed in game theory and algorithm design. The simplest use case is the problem of prediction from expert advice, in which a decision maker needs to iteratively decide on an expert whose advice to follow.

  7. Sonneborn–Berger score - Wikipedia

    en.wikipedia.org/wiki/Sonneborn–Berger_score

    The Sonneborn–Berger score is the most popular tiebreaker method used in Round Robin tournaments.However in contrast to Swiss tournaments, where such tiebreaker scores indicate who had the stronger opponents according to final rankings, in Round Robin all players have the same opponents, so the logic is a lot less clear-cut.

  8. Weighted arithmetic mean - Wikipedia

    en.wikipedia.org/wiki/Weighted_arithmetic_mean

    The weighted mean in this case is: ¯ = ¯ (=), (where the order of the matrix–vector product is not commutative), in terms of the covariance of the weighted mean: ¯ = (=), For example, consider the weighted mean of the point [1 0] with high variance in the second component and [0 1] with high variance in the first component.

  9. Decathlon scoring tables - Wikipedia

    en.wikipedia.org/wiki/Decathlon_scoring_tables

    Beginning in 1920, the IAAF considered, at least, the following criteria for a legitimate decathlon scoring table: [4] (1) The table should reflect the fact that, at higher levels of performance, a unit gain (such as a decrement of 0.01 second in sprint times) is more significant than at lower levels of performance, because of the physiological limitations of the human body.