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Restricted maximum likelihood

In statistics, the restricted (or residual, or reduced) maximum likelihood (REML) approach is a particular form of maximum likelihood estimation that does not base estimates on a maximum likelihood fit of all the information, but instead uses a likelihood function calculated from a transformed set of data, so that nuisance parameters have no effect.

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Explore the main themes, entities and connections around Restricted maximum likelihood. Start with the topic map, then use the sections below for research and deeper semantic analysis.

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Topics to explore

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Overview

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Restricted maximum likelihood

Nodes25
Edges24
Triples12
Avg. degree1.92
Density0.08
Components1

How this topic connects Entity context

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Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

reml estimation data likelihood variance mixed maximum approach particular estimates function calculated set parameters linear models statistical statistics contrasts unbiased

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
MLwiNinstance ofas well as in more specialist packages0.80text
HLMinstance ofas well as in more specialist packages0.80text
ASRemlinstance ofas well as in more specialist packages0.80text
BLUPF90instance ofas well as in more specialist packages0.80text
wombatinstance ofas well as in more specialist packages0.80text
Statistical Parametric Mappinginstance ofas well as in more specialist packages0.80text
CropStat.REML estimation is implemented in Surfstatinstance ofas well as in more specialist packages0.80text
a Matlab toolbox for the statistical analysis of univariateinstance ofas well as in more specialist packages0.80text
multivariate surfaceinstance ofas well as in more specialist packages0.80text
volumetric neuroimaging data using linear mixed effects modelsinstance ofas well as in more specialist packages0.80text
random field theoryinstance ofas well as in more specialist packages0.80text
but more generally in the fitlme package for modeling linear mixed effects models in a domain-general wayinstance ofas well as in more specialist packages0.80text

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
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