• In statistics, a generalized p-value is an extended version of the classical p-value, which except in a limited number of applications, provides only...
    5 KB (776 words) - 04:31, 9 June 2024
  • method of combining p-values Generalized p-value Harmonic mean p-value Holm–Bonferroni method Multiple comparisons problem p-rep p-value fallacy Italicisation...
    58 KB (6,996 words) - 01:41, 8 October 2024
  • statistics, the generalized extreme value (GEV) distribution is a family of continuous probability distributions developed within extreme value theory to combine...
    26 KB (3,827 words) - 10:14, 3 October 2024
  • In statistics, a generalized linear model (GLM) is a flexible generalization of ordinary linear regression. The GLM generalizes linear regression by allowing...
    31 KB (4,224 words) - 09:57, 24 April 2024
  • linear algebra, the generalized singular value decomposition (GSVD) is the name of two different techniques based on the singular value decomposition (SVD)...
    22 KB (4,126 words) - 06:55, 17 December 2023
  • theory of generalized functions in order to define weak solutions of partial differential equations (i.e. solutions which are generalized functions,...
    18 KB (2,202 words) - 09:30, 11 July 2024
  • distribution Generalized normal distribution Generalized p-value Generalized Pareto distribution Generalized Procrustes analysis Generalized randomized...
    87 KB (8,285 words) - 04:29, 7 October 2024
  • variances. To rectify this situation, the generalized p-values are defined as an extension of the classical p-values so that one can perform tests based on...
    5 KB (718 words) - 22:59, 15 July 2023
  • Thumbnail for Gumbel distribution
    statistics, the Gumbel distribution (also known as the type-I generalized extreme value distribution) is used to model the distribution of the maximum...
    16 KB (2,309 words) - 13:37, 7 October 2024
  • p-values can be produced by transforming the HMP. Generalized central limit theorem shows that an asymptotically exact p-value, p p ∘ {\textstyle p_{\overset...
    18 KB (2,512 words) - 19:15, 23 January 2023
  • In statistics, a generalized additive model (GAM) is a generalized linear model in which the linear response variable depends linearly on unknown smooth...
    38 KB (5,694 words) - 19:19, 14 October 2024
  • Thumbnail for Generalized Pareto distribution
    In statistics, the generalized Pareto distribution (GPD) is a family of continuous probability distributions. It is often used to model the tails of another...
    20 KB (2,757 words) - 16:49, 4 September 2024
  • Thumbnail for Generalized gamma distribution
    generalized gamma distributions. The gamlss package in R allows for fitting and generating many different distribution families including generalized...
    8 KB (1,208 words) - 04:44, 26 May 2024
  • primes today are generalized Fermat primes. Generalized Fermat numbers can be prime only for even a, because if a is odd then every generalized Fermat number...
    43 KB (4,588 words) - 12:21, 15 October 2024
  • linearly independent generalized eigenvectors which form a basis for an invariant subspace of V {\displaystyle V} . Using generalized eigenvectors, a set...
    38 KB (7,052 words) - 13:49, 4 October 2024
  • In mathematics, the mean value theorem (or Lagrange's mean value theorem) states, roughly, that for a given planar arc between two endpoints, there is...
    29 KB (5,545 words) - 09:00, 27 September 2024
  • Thumbnail for Compressibility factor
    for Z {\displaystyle Z} values greater than 0.6 and within 4–6 percent for Z {\displaystyle Z} values of 0.3–0.6. The generalized compressibility factor...
    23 KB (2,808 words) - 12:52, 12 September 2024
  • Thumbnail for Extreme value theory
    results of the Fisher–Tippett–Gnedenko theorem, leading to the generalized extreme value distribution being selected for fitting. However, in practice...
    28 KB (2,729 words) - 10:47, 9 October 2024
  • Commonly known as generalized inferences, the new concepts include generalized p-value generalized confidence intervals and generalized point estimation...
    6 KB (736 words) - 18:12, 26 December 2023
  • intrinsic value is a property of anything that is valuable on its own. Intrinsic value is in contrast to instrumental value (also known as extrinsic value), which...
    14 KB (1,581 words) - 17:22, 27 April 2024
  • Thumbnail for Generalized mean
    inequality for negative p and q by replacing them with −q and −p, respectively. The power mean could be generalized further to the generalized f-mean: M f ( x...
    16 KB (3,363 words) - 15:21, 7 October 2024
  • values or functions are used in place of one or more of the numerators or the integers in the denominators, the resulting expression is a generalized...
    76 KB (9,870 words) - 18:27, 10 October 2024
  • Abstract exceptions serve to reinforce the ranking of values. Their definitions are generalized enough to be relevant to any and all situations. Situational...
    37 KB (4,668 words) - 08:49, 13 September 2024
  • Thumbnail for R-value (insulation)
    R-value more generally as the thickness of a sample divided by its apparent thermal conductivity. Some equations relating this generalized R-value, also...
    59 KB (7,798 words) - 09:11, 19 September 2024
  • The generalized normal distribution (GND) or generalized Gaussian distribution (GGD) is either of two families of parametric continuous probability distributions...
    24 KB (2,749 words) - 18:09, 18 September 2024
  • In mathematical analysis, the mean value theorem for divided differences generalizes the mean value theorem to higher derivatives. For any n + 1 pairwise...
    2 KB (323 words) - 10:14, 3 July 2024
  • mathematics, a p-adic distribution is an analogue of ordinary distributions (i.e. generalized functions) that takes values in a ring of p-adic numbers....
    2 KB (248 words) - 15:53, 12 May 2017
  • Generalized anxiety disorder (GAD) is a mental and behavioral disorder, specifically an anxiety disorder characterized by excessive, uncontrollable and...
    110 KB (14,485 words) - 21:34, 16 October 2024
  • response values (dependent variable values) to the vector of fitted values (or predicted values). It describes the influence each response value has on...
    13 KB (1,837 words) - 14:54, 22 May 2024
  • In statistics, generalized least squares (GLS) is a method used to estimate the unknown parameters in a linear regression model. It is used when there...
    18 KB (2,844 words) - 06:54, 28 September 2024