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- ...keup at another position is altered. This relationship is quantified as '''statistical coupling energy'''. A higher coupling energy indicates that the amino acids ==Definition of statistical coupling energy== ...9 KB (1,282 words) - 21:09, 6 February 2025
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- {{Short description|Class of statistical estimators}} ...y certain regularity conditions which make them amenable to [[asymptotic]] analysis. The convergence of a '''regular estimator's''' distribution is, in a sense ...2 KB (237 words) - 10:01, 24 October 2024
- ...mate statistical methods. The main characteristic of exact methods is that statistical tests and [[confidence interval]]s are based on exact probability statement ...cal methods help avoid some of the unreasonable assumptions of traditional statistical methods, such as the assumption of equal variances in classical [[ANOVA]]. ...5 KB (725 words) - 23:59, 15 July 2023
- ...lysis is conducted on [[metric space]]s. It is commonly used to define the statistical [[covariance]] between measurements made at two points that are ''d'' units [[Category:Spatial analysis]] ...2 KB (225 words) - 13:56, 29 January 2023
- ...en defined by upper or lower limits, represented as straight lines. In the statistical variable space, specification limits typically take nonlinear shapes. WCD i ...phase, engineers aim to maximize yield by using simulation techniques and statistical models. Often, data follows a normal distribution, and for such distributio ...3 KB (439 words) - 21:58, 7 September 2024
- {{Short description|Non-parametric statistical test}} ...–143|issn=1442-9985|doi=10.1111/j.1442-9993.1993.tb00438.x}}</ref> as an [[analysis of variance|ANOVA]]-like test, where instead of operating on [[raw data]], ...4 KB (518 words) - 11:48, 6 January 2024
- {{Short description|Statistical test}} ...s of objects and test the [[null hypothesis]] that the [[centroids]] and [[Statistical dispersion|dispersion]] of the groups as defined by measure space are equiv ...4 KB (588 words) - 18:00, 23 September 2024
- In [[regression analysis]], '''partial leverage''' ('''PL''') is a measure of the contribution of th |title = Applied Linear Statistical Models ...2 KB (340 words) - 22:18, 17 April 2024
- ...c methods may lead to misleading conclusions or may fail to detect truly [[Statistical significance|significant]] results from [[experiment]]s. ...n that they are based on exact probability statements. While conventional statistical methods do not provide exact solutions to such problems as testing [[varian ...5 KB (758 words) - 05:31, 9 June 2024
- ...sponse variable]] given that other independent variables are also in the [[Statistical model|model]]. |title = Applied Linear Statistical Models ...4 KB (497 words) - 17:18, 1 March 2023
- {{short description|Concept in spatial data analysis}} ...46) The Statistical Study of Infectious Diseases. ''[[Journal of the Royal Statistical Society]]'', 109(2): 85–110. {{JSTOR|2981176}}</ref> ...3 KB (446 words) - 00:14, 7 February 2023
- {{Short description|Statistical method}} In [[statistics]], '''ridit scoring''' is a statistical method used to analyze ordered qualitative measurements. ...4 KB (568 words) - 18:34, 23 July 2023
- ...: Applications in Gene Expression Genomics|journal=Journal of the American Statistical Association|date=1 December 2008|volume=103|issue=484|pages=1438–1456|doi=1 The factor regression model can be viewed as a combination of [[factor analysis]] model (<math> \mathbf{y}_n= \mathbf{A}\mathbf{x}_n+ \mathbf{c}+\mathbf{ ...3 KB (477 words) - 17:50, 21 March 2022
- ...sical laws which underlie experimental data without fitting simultaneously statistical noise. ...tical estimators can be applied to the set of PDFs, in order to assess the statistical consistency of the results. For example, the stability with respect PDF par ...5 KB (701 words) - 11:11, 27 November 2024
- ...each level of the factor (this will maximize the sensitivity of subsequent statistical ''t''- (or ''F''-) tests). ==Estimates and statistical tests== ...5 KB (798 words) - 10:34, 14 June 2021
- ...rt]], first in two 2003 discussion articles in ''[[Journal of the American Statistical Association]]'' and later on in other papers and in their 2008 book. ...e choice of which does not depend on mathematics but on the scientific and statistical context. Thus the FIC apparatus may be selecting one model as most appropri ...6 KB (892 words) - 09:26, 5 October 2022
- ...s-covariance matrix|cross-covariance matrices]] of [[canonical correlation analysis]]. By converting <math>\operatorname{cov}(X, X)</math> and <math>\operatorn It has been suggested for use in the analysis of [[functional neuroimaging]] data as such data are often singular.<ref>{{ ...2 KB (241 words) - 01:18, 20 February 2025
- ...on entropy]].<ref>Tsallis, C. (2009) "Nonadditive entropy and nonextensive statistical mechanics-an overview after 20 years", ''Braz. J. Phys'', 39, 337–356</ref> The Tsallis distributions have been applied to problems in the fields of [[statistical mechanics]], [[geology]], [[anatomy]], [[astronomy]], [[economics]], [[fina ...4 KB (519 words) - 17:25, 6 February 2023
- | known_for = [[Spatial statistics]], [[image analysis]], [[Markov random fields]] & [[Markov chain Monte Carlo|MCMC]] ...tial statistics]] (including its applications to [[epidemiology]], [[image analysis]] and [[agricultural science]]), and [[Bayesian inference]] (including [[Ma ...8 KB (955 words) - 22:14, 14 December 2024
- {{Short description|Statistical principle}} ...|first3=Trevor |last4=Tibshirani |first4=Robert |title=An introduction to statistical learning: with applications in R |date=2021 |publisher=Springer |location=N ...5 KB (706 words) - 04:40, 29 October 2024
- {{Short description|Statistical test}} .../files/pub/d07/d0795-r.pdf}}</ref> That is, it is used in [[time series]] analysis to test the [[null hypothesis]] that a time series is [[order of integratio ...2 KB (298 words) - 01:12, 30 March 2022