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Что (кто) такое random effects model - определение
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Random effects model
TYPE OF STATISTICAL MODEL
Random effects estimation; Random effects estimator; Random-effects models; Random-effect model; Random effect model; Variance components model; Variance components; Random effects; Random effect; Variance component; Random-effects meta-analysis
In statistics, a random effects model, also called a variance components model, is a statistical model where the model parameters are random variables. It is a kind of hierarchical linear model, which assumes that the data being analysed are drawn from a hierarchy of different populations whose differences relate to that hierarchy.
Random oracle
ORACLE THAT RESPONDS TO EVERY UNIQUE QUERY WITH A (TRULY) RANDOM RESPONSE CHOSEN UNIFORMLY FROM ITS OUTPUT DOMAIN
Random oracle model
In cryptography, a random oracle is an oracle (a theoretical black box) that responds to every unique query with a (truly) random response chosen uniformly from its output domain. If a query is repeated, it responds the same way every time that query is submitted.
Random algebra
MATHEMATICAL THEORY
Random forcing; Random real algebra; Random real
In set theory, the random algebra or random real algebra is the Boolean algebra of Borel sets of the unit interval modulo the ideal of measure zero sets. It is used in random forcing to add random reals to a model of set theory.
Random waypoint model
In mobility management, the random waypoint model is a random model for the movement of mobile users, and how their location, velocity and acceleration change over time. Mobility models are used for simulation purposes when new network protocols are evaluated.
Random energy model
In the statistical physics of disordered systems, the random energy model is a toy model of a system with quenched disorder, such as a spin glass, having a first-order phase transition.Marc Mezard, Andrea Montanari, Chapter 5, The Random Energy Model, Information, Physics, Computation, (2009) Oxford University Press.
Random surfing model
GRAPH MODEL OF WEB PAGES SIMILAR TO MARKOV CHAINS
Draft:Random Surfing Model; Random Surfing Model
The random surfing model is a graph model which describes the probability of a random user visiting a web page. The model attempts to predict the chance that a random internet surfer will arrive at a page by either clicking a link or by accessing the site directly, for example by directly entering the website's URL in the address bar.
Dynamic unobserved effects model
STATISTICAL MODEL USED IN ECONOMETRICS
Dynamic Unobserved Effects Model; Draft:Dynamic Unobserved Effects Tobit Model
A dynamic unobserved effects model is a statistical model used in econometrics for panel analysis. It is characterized by the influence of previous values of the dependent variable on its present value, and by the presence of unobservable explanatory variables.
Random forest
STATISTICAL ALGORITHM THAT IS USED TO CLUSTER POINTS OF DATA IN FUNCTIONAL GROUPS
Random forests; Random multinomial logit; Random naive Bayes; Random naive bayes; Kernel random forest; Random Forest; Unsupervised learning with random forests; Permutation importance
Random forests or random decision forests is an ensemble learning method for classification, regression and other tasks that operates by constructing a multitude of decision trees at training time. For classification tasks, the output of the random forest is the class selected by most trees.
Nonlinear mixed-effects model
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Nonlinear mixed-effects models constitute a class of statistical models generalizing linear mixed-effects models. Like linear mixed-effects models, they are particularly useful in settings where there are multiple measurements within the same statistical units or when there are dependencies between measurements on related statistical units.
Fixed effects model
STATISTICAL MODEL THAT REPRESENTS THE OBSERVED QUANTITIES IN TERMS OF EXPLANATORY VARIABLES THAT ARE TREATED AS IF THE QUANTITIES WERE NON-RANDOM
Fixed effects estimation; Fixed-effects model; Fixed-effect model; Fixed effects; Fixed effect model; Fixed Effects estimator; Within estimator; Fixed effects estimator; Fixed effect
In statistics, a fixed effects model is a statistical model in which the model parameters are fixed or non-random quantities. This is in contrast to random effects models and mixed models in which all or some of the model parameters are random variables.
