...Chi-squared distribution| Chi-squared distribution]]; [[Chi-squared test| Chi-squared test]]). It was proposed by J. Yates [[#References|[1]]].
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#REDIRECT [[Chi-squared distribution]]
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...18 : ~/encyclopedia/old_files/data/C022/C.0202100 \BQT Chi\AAhsquared\EQT distribution,
distribution''
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distribution''
A continuous probability distribution concentrated on the positive semi-axis $ 0 < x < \infty $
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$#C+1 = 49 : ~/encyclopedia/old_files/data/S090/S.0900710 Student distribution
distribution''
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[[Category:Distribution theory]]
...respectively, is such a mixture. The distribution function of a continuous distribution is a continuous function. The absolutely-continuous distributions occupy a
6 KB (843 words) - 11:58, 20 October 2012
$#C+1 = 40 : ~/encyclopedia/old_files/data/M065/M.0605330 Multinomial distribution,
''polynomial distribution''
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$#C+1 = 10 : ~/encyclopedia/old_files/data/R077/R.0707730 Rayleigh distribution
A continuous [[Probability distribution|probability distribution]] with density
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$#C+1 = 25 : ~/encyclopedia/old_files/data/W098/W.0908040 Wishart distribution
...ution]]. Let the results of observations have a $ p $-dimensional normal distribution $ N( \mu , \Sigma ) $
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has a given polynomial distribution, characterized by a vector of positive probabilities $ p = ( p _ {1} \dot
The "chi-squared" test is based on the Pearson statistic
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be independent identically-distributed random variables whose distribution function belongs to the family $ H = \{ F ( x) \} $
of all continuous distribution functions on $ \mathbf R ^ {1} $,
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...de with limiting forms of the [[Hypergeometric distribution|hypergeometric distribution]]. Pearson curves are classified in accordance with the character of the ro
...Pearson curves consists of 12 types plus the [[Normal distribution|normal distribution]]. Many very important distributions in mathematical statistics may be obta
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is approximately distributed according to a "chi-squared" law with one degree of freedom, i.e.
Tables of the "chi-squared" distribution yield the critical value $ \chi _ {1} ^ {2} ( 0.05 ) = 3.841 $
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Any such measure on $\{\Omega,S\}$ is called a probability distribution (see {{Cite|K}}). But this definition, basic in the axiomatics introduced b
...n]]) or by probability densities (see [[Continuous distribution|Continuous distribution]]). There are also tables compiled in certain cases where they are necessar
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$#C+1 = 34 : ~/encyclopedia/old_files/data/U095/U.0905330 Unimodal distribution,
''single-peak distribution''
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A continuous probability distribution concentrated on the positive semi-axis $ 0 < x < \infty $
The corresponding distribution function for $ x \leq 0 $
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$#C+1 = 51 : ~/encyclopedia/old_files/data/P073/P.0703280 Poisson distribution
[[Category:Distribution theory]]
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have a given continuous distribution function $ F (x) $.
is the [[Empirical distribution|empirical distribution]] function constructed from the sample $ X _{1} \dots X _{n} $
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$#C+1 = 74 : ~/encyclopedia/old_files/data/N067/N.0607460 Normal distribution
[[Category:Distribution theory]]
11 KB (1,515 words) - 08:03, 6 June 2020
be independent of some "chi-squared" distribution $ V/ \sigma ^ {2} $
2 KB (355 words) - 09:49, 20 July 2021