The chi-squared distribution χ k 2 {\displaystyle \chi _{k}^{2}} is a special case of the gamma distribution and the univariate Wishart distribution. Specifically...
45 KB (6,817 words) - 10:25, 19 March 2025
variable and the origin. The chi distribution describes the positive square roots of a variable obeying a chi-squared distribution. If Z 1 , … , Z k {\displaystyle...
10 KB (1,726 words) - 21:53, 23 November 2024
the noncentral chi-squared distribution (or noncentral chi-square distribution, noncentral χ 2 {\displaystyle \chi ^{2}} distribution) is a noncentral...
21 KB (3,719 words) - 14:30, 25 May 2025
statistics, the inverse-chi-squared distribution (or inverted-chi-square distribution) is a continuous probability distribution of a positive-valued random...
5 KB (394 words) - 21:42, 12 October 2024
and statistics, the generalized chi-squared distribution (or generalized chi-square distribution) is the distribution of a quadratic function of a multinormal...
16 KB (2,090 words) - 19:26, 19 June 2025
of scaled inverse chi-squared distributions is linked to the inverse-chi-squared distribution and to the chi-squared distribution: If X ∼ ψ inv- χ 2...
12 KB (2,163 words) - 18:40, 9 March 2025
A chi-squared test (also chi-square or χ2 test) is a statistical hypothesis test used in the analysis of contingency tables when the sample sizes are...
22 KB (2,432 words) - 16:59, 17 March 2025
Pearson's chi-squared test or Pearson's χ 2 {\displaystyle \chi ^{2}} test is a statistical test applied to sets of categorical data to evaluate how likely...
40 KB (5,767 words) - 05:36, 19 May 2025
Variance (redirect from Scaled chi-squared distribution)
expected value of the squared deviation from the mean of a random variable. The standard deviation (SD) is obtained as the square root of the variance...
61 KB (10,215 words) - 16:29, 24 May 2025
characteristics related to the chi-squared distribution. Let random variable Y be defined as Y = X2 where X has normal distribution with mean 0 and variance...
7 KB (1,645 words) - 14:44, 4 January 2024
The term chi-square, chi-squared, or χ 2 {\displaystyle \chi ^{2}} has various uses in statistics: chi-square distribution, a continuous probability distribution...
367 bytes (80 words) - 20:51, 21 November 2021
T-squared distribution (T2), proposed by Harold Hotelling, is a multivariate probability distribution that is tightly related to the F-distribution and...
18 KB (1,980 words) - 21:40, 18 September 2024
since the chi-squared distribution is the sum of squares of independent standard normal random variables, the random variable of the F-distribution may also...
14 KB (2,271 words) - 10:42, 23 April 2025
McNemar's test (redirect from McNemar's chi-squared)
2 {\displaystyle \chi ^{2}} has a chi-squared distribution with 1 degree of freedom. If the χ 2 {\displaystyle \chi ^{2}} result is significant, this...
19 KB (2,539 words) - 08:02, 25 May 2025
parametrize the inverse gamma distribution differently, as a scaled inverse chi-squared distribution. The inverse gamma distribution's probability density function...
11 KB (1,632 words) - 09:32, 12 June 2025
Gamma distribution, and it is used in goodness-of-fit tests in statistics. The inverse-chi-squared distribution The noncentral chi-squared distribution The...
22 KB (2,620 words) - 07:59, 2 May 2025
the above chi-squared distribution with one degree of freedom, and the total energy will be distributed according to a chi-squared distribution with five...
38 KB (6,007 words) - 16:34, 27 May 2025
distribution, Erlang distribution, and chi-squared distribution are special cases of the gamma distribution. There are two equivalent parameterizations...
66 KB (9,100 words) - 05:31, 2 June 2025
F-distribution. It describes the distribution of the quotient (X/n1)/(Y/n2), where the numerator X has a noncentral chi-squared distribution with n1 degrees of freedom...
5 KB (837 words) - 22:07, 21 May 2025
chi-squared distribution. Other related distributions may be seen there. If X {\displaystyle X} is chi distributed: X ∼ χ k {\displaystyle X\sim \chi...
6 KB (896 words) - 22:16, 1 March 2023
Yates's correction for continuity (redirect from Yates' chi-square test)
correction modifies the standard chi-squared test to account for the fact that a continuous distribution (chi-squared) is used to approximate discrete...
4 KB (600 words) - 09:01, 17 May 2025
G-test (section Relation to the chi-squared test)
approximation to the theoretical chi-squared distribution for the G-test is better than for the Pearson's chi-squared test. In cases where O i > 2 ⋅...
16 KB (2,506 words) - 18:23, 2 April 2025
Wishart distribution. Chi-squared distribution Complex Wishart distribution F-distribution Gamma distribution Hotelling's T-squared distribution Inverse-Wishart...
27 KB (4,194 words) - 19:55, 19 June 2025
various uses, including the chi-squared distribution, the chi-squared test, and chi-squared target model In algebraic topology, Chi is used to represent the...
9 KB (1,060 words) - 13:07, 14 May 2025
gamma distribution with shape parameter α = v/2 and rate parameter β = 1/2 is a chi-squared distribution with ν degrees of freedom. A chi-squared distribution...
21 KB (2,382 words) - 20:22, 5 May 2025
{\textstyle |X-\mu |/\sigma \sim \chi _{1}} . The square of X / σ {\textstyle X/\sigma } has the noncentral chi-squared distribution with one degree of freedom:...
151 KB (22,720 words) - 15:29, 20 June 2025
{Rice} (\nu ,1)} then R 2 {\displaystyle R^{2}} has a noncentral chi-squared distribution with two degrees of freedom and noncentrality parameter ν 2 {\displaystyle...
20 KB (3,150 words) - 12:42, 7 February 2025
has a chi-squared distribution (χ2-distribution) with ν {\displaystyle \nu } degrees of freedom; Z and V are independent; A different distribution is defined...
55 KB (6,423 words) - 06:46, 1 June 2025
Goodness of fit (section Pearson's chi-square test)
determination (the R-squared measure of goodness of fit); Lack-of-fit sum of squares; Mallows's Cp criterion Prediction error Reduced chi-square The following...
9 KB (1,150 words) - 17:39, 20 September 2024
\infty } , the distribution of the test statistic − 2 log ( Λ ) {\displaystyle -2\log(\Lambda )} asymptotically approaches the chi-squared ( χ 2 {\displaystyle...
14 KB (2,053 words) - 13:09, 5 May 2025