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  2. Unique key - Wikipedia

    en.wikipedia.org/wiki/Unique_key

    In SQL, the unique keys have a UNIQUE constraint assigned to them in order to prevent duplicates (a duplicate entry is not valid in a unique column). Alternate keys may be used like the primary key when doing a single-table select or when filtering in a where clause, but are not typically used to join multiple tables.

  3. Boolean data type - Wikipedia

    en.wikipedia.org/wiki/Boolean_data_type

    PostgreSQL has a distinct BOOLEAN type as in the standard, [21] which allows predicates to be stored directly into a BOOLEAN column, and allows using a BOOLEAN column directly as a predicate in a WHERE clause. In MySQL, BOOLEAN is treated as an alias of TINYINT (1); [22] TRUE is the same as integer 1 and FALSE is the same is integer 0. [23]

  4. NaN - Wikipedia

    en.wikipedia.org/wiki/NaN

    The standard pow function and the integer exponent pown function define 0 0, 1 ∞, and ∞ 0 as 1. The powr function defines all three indeterminate forms as invalid operations and so returns NaN. Real operations with complex results, for example: The square root of a negative number. The logarithm of a negative number.

  5. Inclusion–exclusion principle - Wikipedia

    en.wikipedia.org/wiki/Inclusion–exclusion...

    Euler's totient or phi function, φ(n) is an arithmetic function that counts the number of positive integers less than or equal to n that are relatively prime to n. That is, if n is a positive integer , then φ( n ) is the number of integers k in the range 1 ≤ k ≤ n which have no common factor with n other than 1.

  6. Ordinary least squares - Wikipedia

    en.wikipedia.org/wiki/Ordinary_least_squares

    In statistics, ordinary least squares (OLS) is a type of linear least squares method for choosing the unknown parameters in a linear regression model (with fixed level-one [clarification needed] effects of a linear function of a set of explanatory variables) by the principle of least squares: minimizing the sum of the squares of the differences between the observed dependent variable (values ...

  7. Nonparametric statistics - Wikipedia

    en.wikipedia.org/wiki/Nonparametric_statistics

    Data envelopment analysis provides efficiency coefficients similar to those obtained by multivariate analysis without any distributional assumption. KNNs classify the unseen instance based on the K points in the training set which are nearest to it. A support vector machine (with a Gaussian kernel) is a nonparametric large-margin classifier.

  8. List of metro systems - Wikipedia

    en.wikipedia.org/wiki/List_of_metro_systems

    The number of unique journeys on the metro system every year. There is a major discrepancy between the ridership figures: some metro systems count transferring between lines as multiple journeys, but others do not.

  9. Augmented Dickey–Fuller test - Wikipedia

    en.wikipedia.org/wiki/Augmented_Dickey–Fuller_test

    The procedure for the ADF test is the same as for the Dickey–Fuller test but it is applied to the model = + + + + + + +, where is a constant, the coefficient on a time trend and the lag order of the autoregressive process.