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  2. Truncation (statistics) - Wikipedia

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

    Truncation can be applied to any probability distribution.This will usually lead to a new distribution, not one within the same family. Thus, if a random variable X has F(x) as its distribution function, the new random variable Y defined as having the distribution of X truncated to the semi-open interval (a, b] has the distribution function

  3. Data truncation - Wikipedia

    en.wikipedia.org/wiki/Data_truncation

    This computer science article is a stub. You can help Wikipedia by expanding it.

  4. Truncation - Wikipedia

    en.wikipedia.org/wiki/Truncation

    Truncation of positive real numbers can be done using the floor function. Given a number x ∈ R + {\displaystyle x\in \mathbb {R} _{+}} to be truncated and n ∈ N 0 {\displaystyle n\in \mathbb {N} _{0}} , the number of elements to be kept behind the decimal point, the truncated value of x is

  5. Truncated distribution - Wikipedia

    en.wikipedia.org/wiki/Truncated_distribution

    In statistics, a truncated distribution is a conditional distribution that results from restricting the domain of some other probability distribution.Truncated distributions arise in practical statistics in cases where the ability to record, or even to know about, occurrences is limited to values which lie above or below a given threshold or within a specified range.

  6. Truncation error - Wikipedia

    en.wikipedia.org/wiki/Truncation_error

    The definition of the exact integral of a function () from to is given as ... Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; ...

  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. Truncated normal distribution - Wikipedia

    en.wikipedia.org/wiki/Truncated_normal_distribution

    Nielsen [3] reported closed-form formula for calculating the Kullback-Leibler divergence and the Bhattacharyya distance between two truncated normal distributions with the support of the first distribution nested into the support of the second distribution.

  9. Window function - Wikipedia

    en.wikipedia.org/wiki/Window_function

    A popular window function, the Hann window. Most popular window functions are similar bell-shaped curves. In signal processing and statistics, a window function (also known as an apodization function or tapering function [1]) is a mathematical function that is zero-valued outside of some chosen interval. Typically, window functions are ...