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'''Heisenberg model''' can refer to two models in statistical mechanics: ...

{{short description|Statistical method for automatically identifying words by part of speech}} In [[computational linguistics]], a '''trigram tagger''' is a statistical method for [[part-of-speech tagger|automatically identifying words as being ...

| genre = [[Statistical package]] ...Rothamsted|url=https://www.jstor.org/stable/44162829|journal=International Statistical Review |volume=83|issue=3|pages=357–370|doi=10.1111/insr.12093 |jstor=44162 ...

A '''mimic function''' changes a file <math>A</math> so it assumes the statistical properties of another file <math>B</math>. That is, if <math>p(t,A)</math> ...ns use simple statistical models to pick the symbols in the output. If the statistical model says that item <math>x</math> occurs with [[probability]] <math>p(x,A ...

'''XploRe''' was a commercial [[List of statistical packages|statistics software package]], developed by the [[Germany|German]] * Single index models ...

.... | author-link= Seymour Geisser | year= 2006 | title= Modes of Parametric Statistical Inference | publisher= [[John Wiley & Sons]]}}</ref> Conversely [[nonparam ...ge University Press]]}}</ref> Regarding nonparametric (and semiparametric) models, [[David Cox (statistician)|Sir David Cox]] has said, "These typically invo ...

...to 2500 km. Unlike the more common [[US Standard Atmosphere]] and related models, the Jacchia model includes latitudinal, seasonal, geomagnetic, and solar e The statistical accuracy of the Jacchia Model is 15%. ...

...ef> The shapes are constrained by the PDM ([[point distribution model]]) [[Statistical Shape Model]] to vary only in ways seen in a training set of labelled examp * [https://web.archive.org/web/20060706184806/http://www.isbe.man.ac.uk/~bim//Models/index.html Description] of AAMs from Manchester University. ...

{{Short description|Type of statistical model}} ...models for which substantial reduction in the complexity of the related [[statistical theory]] is possible. ...

{{Short description|Type of statistical test}} ...eau test provides a reasonable way of proceeding as a general check of a [[statistical model|model's]] match to a dataset where there are many different ways in w ...

...statistical model}}In [[statistics]], a '''semiparametric model''' is a [[statistical model]] that has [[Parametric statistics|parametric]] and [[nonparametric]] ...distributions: <math>\{P_\theta: \theta \in \Theta\}</math> indexed by a [[statistical parameter|parameter]] <math>\theta</math>. ...

...are translations of one another. Word alignment is typically done after [[Statistical machine translation#Sentence alignment|sentence alignment]] has already ide ...http://www.aclweb.org/anthology/W99-0604.pdf Improved alignment models for statistical machine translation], Proc. of the Joint SIGDAT Conf. on Empirical Methods ...

:* A mixture used as a [[statistical model]] such as is often used for [[statistical classification]]. The model may represent the population from which observa * [[Statistical classification|classification]] ...

A major advantage of factored language models is that they allow users to specify linguistic knowledge such as the relati Like [[N-gram]] models, smoothing techniques are necessary in parameter estimation. In particular ...

...f [[Landscape_evolution_model|landscape evolution]]. However, many erosion models were developed to quantify the effects of [[soil erosion|accelerated soil e ...getated areas (such as [[rangeland]] or [[forest|forests]]). A few erosion models focus on erosion on [[mining|mined]] areas. ...

...rent value for each type of error. Secondly, it arises in the context of [[statistical modelling]] (for example regression) where the model's predicted value may * For a Type II error, it is shown as β (beta) and is 1 minus the [[Statistical power|power]] or 1 minus the [[sensitivity (tests)|sensitivity]] of the tes ...

*[[Statistical process control]] (SPC) ...uct and manufacturing information]] (PMI) on [[Computer-aided design|CAD]] models ...

{{Short description|A statistical measure of a model's performance}} ...l processing]], '''directional symmetry''' is a statistical measure of a [[Statistical model|model]]'s performance in predicting the direction of change, positive ...

...x-coil transitions of [[macromolecule]]s, usually [[polymer]] chains. Most models provide a reasonable [[Approximation theory|approximation]] of the fraction ==Helix-coil transition models== ...

...d in [[CRM114 (program)|CRM114]] and other spam filters to filter based on statistical patterns of [[transition probabilities]] between [[Word|words]] or other [[ ...Frutuoso e Melo, P. F. F. (January 2013). ''A comparison between Markovian models and Bayesian networks for treating some dependent events in reliability eva ...