About: Unit-weighted regression

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

About: Unit-weighted regression Goto Sponge NotDistinct Permalink

An Entity of Type : owl:Thing, within Data Space : dbpedia.org associated with source document(s)
QRcode icon

http://dbpedia.org/describe/?url=http%3A%2F%2Fdbpedia.org%2Fresource%2FUnit-weighted_regression&graph=http%3A%2F%2Fdbpedia.org&graph=http%3A%2F%2Fdbpedia.org

In statistics, unit-weighted regression is a simplified and robust version (Wainer & Thissen, 1976) of multiple regression analysis where only the intercept term is estimated. That is, it fits a model where each of the are binary variables, perhaps multiplied with an arbitrary weight. Contrast this with the more common multiple regression model, where each predictor has its own estimated coefficient:

Attributes	Values
rdfs:label	Unit-weighted regression (en)
rdfs:comment	In statistics, unit-weighted regression is a simplified and robust version (Wainer & Thissen, 1976) of multiple regression analysis where only the intercept term is estimated. That is, it fits a model where each of the are binary variables, perhaps multiplied with an arbitrary weight. Contrast this with the more common multiple regression model, where each predictor has its own estimated coefficient: (en)
dcterms:subject	Regression analysis
Wikipage page ID	3620926 (xsd:integer)
Wikipage revision ID	1116600575 (xsd:integer)
Link from a Wikipage to another Wikipage	Multivariate analysis Regression analysis Howard Wainer Decision tree learning Proper linear model Psychological Bulletin Robyn Dawes Cross-validation (statistics) Machine learning Big five personality traits Standard score Statistics Linear discriminant analysis Linear regression Journal of Educational and Behavioral Statistics Regression analysis Robust regression Jacob Cohen (statistician) Binary classification Binary data Suicidal ideation Social science Statistical classification Robust statistics Multiple regression Samuel Stanley Wilks Ernest W. Burgess U.S. presidential elections
Link from a Wikipage to an external page	http://files.eric.ed.gov/fulltext/ED485849.pdf https://books.google.com/books/about/The_Workings_of_the_Indeterminate_senten.html%3Fid=V6xCAAAAIAAJ http://www.cmu.edu/dietrich/sds/docs/dawes/the-robust-beauty-of-improper-linear-models-in-decision-making.pdf https://www.chrisstucchio.com/tag/unit-weighted-regression.html https://www.jstor.org/stable/2771477 http://www-stat.wharton.upenn.edu/~hwainer/Readings/Wainer_Estimating%20Coefficients%20in%20Linear%20Models.pdf http://dionysus.psych.wisc.edu/Lit/Articles/WainerH1976a.pdf http://apps.dtic.mil/dtic/tr/fulltext/u2/a033183.pdf
sameAs	Unit-weighted regression Unit-weighted regression Unit-weighted regression
dbp:wikiPageUsesTemplate	dbt:Citation_needed dbt:Cite_journal dbt:Doi dbt:Reflist
has abstract	In statistics, unit-weighted regression is a simplified and robust version (Wainer & Thissen, 1976) of multiple regression analysis where only the intercept term is estimated. That is, it fits a model where each of the are binary variables, perhaps multiplied with an arbitrary weight. Contrast this with the more common multiple regression model, where each predictor has its own estimated coefficient: In the social sciences, unit-weighted regression is sometimes used for binary classification, i.e. to predict a yes-no answer where indicates "no", "yes". It is easier to interpret than multiple linear regression (known as linear discriminant analysis in the classification case). (en)
prov:wasDerivedFrom	wikipedia-en:Unit-weighted_regression?oldid=1116600575&ns=0
page length (characters) of wiki page	17435 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Unit-weighted_regression
is Link from a Wikipage to another Wikipage of	Samuel S. Wilks David Thissen Howard Wainer Proper linear model Robyn Dawes Standardized coefficient Ernest Burgess Robust regression List of statistics articles Robust statistics
is known for of	Howard Wainer
is known for of	David Thissen Howard Wainer
is foaf:primaryTopic of	wikipedia-en:Unit-weighted_regression

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, 59 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software