About: Calibration (statistics)

Facets (new session)
Description
Metadata
Settings
- Rule:
- Inverse Functional Properties:
- "Same As":

About: Calibration (statistics) Goto Sponge NotDistinct Permalink

An Entity of Type : yago:Rule105846932, within Data Space : dbpedia.demo.openlinksw.com associated with source document(s)
QRcode icon

http://dbpedia.demo.openlinksw.com/describe/?url=http%3A%2F%2Fdbpedia.org%2Fresource%2FCalibration_%28statistics%29&invfp=IFP_OFF&sas=SAME_AS_OFF&graph=http%3A%2F%2Fdbpedia.org&graph=http%3A%2F%2Fdbpedia.org

There are two main uses of the term calibration in statistics that denote special types of statistical inference problems. "Calibration" can mean * a reverse process to regression, where instead of a future dependent variable being predicted from known explanatory variables, a known observation of the dependent variables is used to predict a corresponding explanatory variable; * procedures in statistical classification to determine class membership probabilities which assess the uncertainty of a given new observation belonging to each of the already established classes.

Attributes	Values
rdf:type	yago:WikicatClassificationAlgorithms yago:Abstraction100002137 yago:Act100030358 yago:Activity100407535 yago:Algorithm105847438 yago:Event100029378 yago:Procedure101023820 yago:PsychologicalFeature100023100 yago:YagoPermanentlyLocatedEntity yago:Rule105846932
rdfs:label	Calibration (statistics) (en)
rdfs:comment	There are two main uses of the term calibration in statistics that denote special types of statistical inference problems. "Calibration" can mean * a reverse process to regression, where instead of a future dependent variable being predicted from known explanatory variables, a known observation of the dependent variables is used to predict a corresponding explanatory variable; * procedures in statistical classification to determine class membership probabilities which assess the uncertainty of a given new observation belonging to each of the already established classes. (en)
dcterms:subject	Regression analysis Classification algorithms Statistical classification
Wikipage page ID	740955 (xsd:integer)
Wikipage revision ID	1055630637 (xsd:integer)
Link from a Wikipage to another Wikipage	Carbon-14 Bayesian inference Probabilistic classification Regression analysis Classification algorithms Sliced inverse regression Multiclass classification Statistical inference Operational definition Calibration Statistical model Statistics Dendrochronology Causality Linear regression Logistic regression Daniel Kahneman Forecasting Brier score Forecast skill Isotonic regression Tree Peter Flach Weather forecasting Prediction Accuracy and precision Aggregative Contingent Estimation Binary classification Superforecasting Statistical classification Philip Dawid Philip E. Tetlock Platt scaling Meteorology Radiometric dating The Good Judgment Project Statistical classification Extrapolation Class membership probabilities
sameAs	Calibration (statistics) Calibration (statistics) Calibration (statistics) Calibration (statistics) Calibration (statistics)
dbp:wikiPageUsesTemplate	dbt:Annotated_link dbt:Main_article dbt:Reflist dbt:Short_description
has abstract	There are two main uses of the term calibration in statistics that denote special types of statistical inference problems. "Calibration" can mean * a reverse process to regression, where instead of a future dependent variable being predicted from known explanatory variables, a known observation of the dependent variables is used to predict a corresponding explanatory variable; * procedures in statistical classification to determine class membership probabilities which assess the uncertainty of a given new observation belonging to each of the already established classes. In addition, "calibration" is used in statistics with the usual general meaning of calibration. For example, model calibration can be also used to refer to Bayesian inference about the value of a model's parameters, given some data set, or more generally to any type of fitting of a statistical model.As Philip Dawid puts it, "a forecaster is well calibrated if, for example, of those events to which he assigns a probability 30 percent, the long-run proportion that actually occurs turns out to be 30 percent". (en)
gold:hypernym	Uses
prov:wasDerivedFrom	wikipedia-en:Calibration_(statistics)?oldid=1055630637&ns=0
page length (characters) of wiki page	9041 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Calibration_(statistics)
is Link from a Wikipage to another Wikipage of	Probabilistic classification Predictive modelling MCSim Calibration Data assimilation Brier score Forecast skill Cost distance analysis Platt scaling Fiducial inference Groundwater contamination by pharmaceuticals List of statistics articles Phillip Kott Outline of machine learning Social statistics Use case points Statistical calibration
is Wikipage redirect of	Statistical calibration
is foaf:primaryTopic of	wikipedia-en:Calibration_(statistics)

Faceted Search & Find service v1.17_git139 as of Feb 29 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 08.03.3330 as of Mar 19 2024, on Linux (x86_64-generic-linux-glibc212), Single-Server Edition (378 GB total memory, 67 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software