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The overlap coefficient, [note 1] or Szymkiewicz–Simpson coefficient, [citation needed] [3] [4] [5] is a similarity measure that measures the overlap between two finite sets.It is related to the Jaccard index and is defined as the size of the intersection divided by the size of the smaller of two sets:
SPSS: A dialog box for Propensity Score Matching is available from the IBM SPSS Statistics menu (Data/Propensity Score Matching), and allows the user to set the match tolerance, randomize case order when drawing samples, prioritize exact matches, sample with or without replacement, set a random seed, and maximize performance by increasing ...
Chain linking is a statistical method, defined by the Organisation for Economic Co-operation and Development as: . Joining together two indices that overlap in one period by rescaling one of them to make its value equal to that of the other in the same period, thus combining them into single time series.
The k-nearest neighbour classifier can be viewed as assigning the k nearest neighbours a weight / and all others 0 weight. This can be generalised to weighted nearest neighbour classifiers. That is, where the i th nearest neighbour is assigned a weight , with = =. An analogous result on the strong consistency of weighted nearest neighbour ...
Under Fisher's method, two small p-values P 1 and P 2 combine to form a smaller p-value.The darkest boundary defines the region where the meta-analysis p-value is below 0.05.. For example, if both p-values are around 0.10, or if one is around 0.04 and one is around 0.25, the meta-analysis p-value is around 0
In statistics, the Bhattacharyya distance is a quantity which represents a notion of similarity between two probability distributions. [1] It is closely related to the Bhattacharyya coefficient, which is a measure of the amount of overlap between two statistical samples or populations.
the jackknife procedure, used to estimate biases of sample statistics and to estimate variances, and; cross-validation, in which the parameters (e.g., regression weights, factor loadings) that are estimated in one subsample are applied to another subsample. For more details see resampling.
ROUGE-N: Overlap of n-grams [2] between the system and reference summaries. ROUGE-1 refers to the overlap of unigrams (each word) between the system and reference summaries. ROUGE-2 refers to the overlap of bigrams between the system and reference summaries. ROUGE-L: Longest Common Subsequence (LCS) [3] based statistics.