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  2. Jaccard index - Wikipedia

    en.wikipedia.org/wiki/Jaccard_index

    The Jaccard index is a statistic used for gauging the similarity and diversity of sample sets. It is defined in general taking the ratio of two sizes (areas or volumes), the intersection size divided by the union size, also called intersection over union (IoU).

  3. Boole's inequality - Wikipedia

    en.wikipedia.org/wiki/Boole's_inequality

    In probability theory, Boole's inequality, also known as the union bound, says that for any finite or countable set of events, the probability that at least one of the events happens is no greater than the sum of the probabilities of the individual events. This inequality provides an upper bound on the probability of occurrence of at least one ...

  4. Collectively exhaustive events - Wikipedia

    en.wikipedia.org/wiki/Collectively_exhaustive_events

    These both events are mutually exclusive because even and odd outcome can never occur at same time. The union of both "even" and "odd" events give sample space of rolling the die, hence are collectively exhaustive.

  5. Union density - Wikipedia

    en.wikipedia.org/wiki/Union_density

    The union density or union membership rate conveys the number of trade union members who are employees as a percentage of the total number of employees in a given industry or country. [1] This is normally lower than collective agreement coverage rate, which refers to all people whose terms of work are collectively negotiated .

  6. Cohen's kappa - Wikipedia

    en.wikipedia.org/wiki/Cohen's_kappa

    Cohen's kappa measures the agreement between two raters who each classify N items into C mutually exclusive categories. The definition of is =, where p o is the relative observed agreement among raters, and p e is the hypothetical probability of chance agreement, using the observed data to calculate the probabilities of each observer randomly selecting each category.

  7. Expected value - Wikipedia

    en.wikipedia.org/wiki/Expected_value

    The book extended the concept of expectation by adding rules for how to calculate expectations in more complicated situations than the original problem (e.g., for three or more players), and can be seen as the first successful attempt at laying down the foundations of the theory of probability. In the foreword to his treatise, Huygens wrote:

  8. Independence (probability theory) - Wikipedia

    en.wikipedia.org/wiki/Independence_(probability...

    Independence is a fundamental notion in probability theory, as in statistics and the theory of stochastic processes.Two events are independent, statistically independent, or stochastically independent [1] if, informally speaking, the occurrence of one does not affect the probability of occurrence of the other or, equivalently, does not affect the odds.

  9. σ-algebra - Wikipedia

    en.wikipedia.org/wiki/Σ-algebra

    A σ-algebra of subsets is a set algebra of subsets; elements of the latter only need to be closed under the union or intersection of finitely many subsets, which is a weaker condition. [ 2 ] The main use of σ-algebras is in the definition of measures ; specifically, the collection of those subsets for which a given measure is defined is ...