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Acronyms that contain the term chi distribution  Page #78

What does chi distribution mean? This page is about the various possible meanings of the acronym, abbreviation, shorthand or slang term: chi distribution.

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DIDC

Data Input and Distribution Card

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DIL

Distribution Interaction Language

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DIS

Distribution Interactive Simulation

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DIS

Distribution File

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DISOSS

Distribution Office Support Systems

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DISTRO

Distribution of Software

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DLMS

Distribution Line Message Specification

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DLX

Distribution List for Linux

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DMF

Distribution Media Format

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DMF

Distribution Management Framework

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DPA

Distribution Password Authentication

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DREF

Distribution Research and Education Foundation

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DRP

Distribution and Replication Protocol

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DRP

Distribution Resource Planning

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DSS

Distribution Subsystem

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DTP

Distribution Transaction Processing

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DWTT

Distribution Wide Tracker Tools

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DXU

Distribution Switch Unit

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EDB

European Distribution Business

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EDC

European Distribution Center

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EDE

Elks Distribution Edition

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EDOC

Electronic Distribution and Online Consulting

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ELD

Electronic License Distribution

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ELDER

Educational Linux Distribution Electronic Resource

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EMD

Electronic Media Distribution

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What does chi distribution mean?

Chi distribution
In probability theory and statistics, the chi distribution is a continuous probability distribution. It is the distribution of the positive square root of the sum of squares of a set of independent random variables each following a standard normal distribution, or equivalently, the distribution of the Euclidean distance of the random variables from the origin. It is thus related to the chi-squared distribution by describing the distribution of the positive square roots of a variable obeying a chi-squared distribution. If Z 1 , … , Z k {\displaystyle Z_{1},\ldots ,Z_{k}} are k {\displaystyle k} independent, normally distributed random variables with mean 0 and standard deviation 1, then the statistic Y = ∑ i = 1 k Z i 2 {\displaystyle Y={\sqrt {\sum _{i=1}^{k}Z_{i}^{2}}}} is distributed according to the chi distribution. Accordingly, dividing by the mean of the chi distribution (scaled by the square root of n − 1 {\displaystyle n-1} ) yields the correction factor in the unbiased estimation of the standard deviation of the normal distribution. The chi distribution has one parameter, k {\displaystyle k} , which specifies the number of degrees of freedom (i.e. the number of Z i {\displaystyle Z_{i}} ). The most familiar examples are the Rayleigh distribution (chi distribution with two degrees of freedom) and the Maxwell–Boltzmann distribution of the molecular speeds in an ideal gas (chi distribution with three degrees of freedom).

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