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  2. Truncation (statistics) - Wikipedia

    en.wikipedia.org/wiki/Truncation_(statistics)

    In statistics, truncation results in values that are limited above or below, resulting in a truncated sample. [1] A random variable y {\displaystyle y} is said to be truncated from below if, for some threshold value c {\displaystyle c} , the exact value of y {\displaystyle y} is known for all cases y > c {\displaystyle y>c} , but unknown for ...

  3. Data truncation - Wikipedia

    en.wikipedia.org/wiki/Data_truncation

    In databases and computer networking data truncation occurs when data or a data stream (such as a file) is stored in a location too short to hold its entire length. [1] Data truncation may occur automatically, such as when a long string is written to a smaller buffer , or deliberately, when only a portion of the data is wanted.

  4. Enumerated type - Wikipedia

    en.wikipedia.org/wiki/Enumerated_type

    In computer programming, an enumerated type (also called enumeration, enum, or factor in the R programming language, and a categorical variable in statistics) is a data type consisting of a set of named values called elements, members, enumeral, or enumerators of the type.

  5. Truncate (SQL) - Wikipedia

    en.wikipedia.org/wiki/Truncate_(SQL)

    TRUNCATE TABLE cannot be used when a foreign key references the table to be truncated, since TRUNCATE TABLE statements do not fire triggers. This could result in inconsistent data because ON DELETE/ON UPDATE triggers would not fire. In some computer systems, TRUNCATE TABLE resets the count of an Identity column back to the identity's seed.

  6. Truncation error (numerical integration) - Wikipedia

    en.wikipedia.org/wiki/Truncation_error...

    Suppose we have a continuous differential equation ′ = (,), =, and we wish to compute an approximation of the true solution () at discrete time steps ,, …,.For simplicity, assume the time steps are equally spaced:

  7. Truncated regression model - Wikipedia

    en.wikipedia.org/wiki/Truncated_regression_model

    Estimation of truncated regression models is usually done via parametric maximum likelihood method. More recently, various semi-parametric and non-parametric generalisation were proposed in the literature, e.g., based on the local least squares approach [ 5 ] or the local maximum likelihood approach, [ 6 ] which are kernel based methods.

  8. Numerical error - Wikipedia

    en.wikipedia.org/wiki/Numerical_error

    The term truncation comes from the fact that either these simplifications usually involve the truncation of an infinite series expansion so as to make the computation possible and practical, or because the least significant bits of an arithmetic operation are thrown away.

  9. Truncated normal distribution - Wikipedia

    en.wikipedia.org/wiki/Truncated_normal_distribution

    For more on simulating a draw from the truncated normal distribution, see Robert (1995), Lynch (2007, Section 8.1.3 (pages 200–206)), Devroye (1986). The MSM package in R has a function, rtnorm, that calculates draws from a truncated normal. The truncnorm package in R also has functions to draw from a truncated normal.