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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao zbMATH Openarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Article
Data sources: zbMATH Open
Biometrics
Article . 1974 . Peer-reviewed
Data sources: Crossref
Biometrics
Article . 1974
Data sources: Europe PubMed Central
https://dx.doi.org/10.2307/252...
Article
Data sources: Microsoft Academic Graph
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The Analysis of Partially Categorized Contingency Data

The analysis of partially categorized contingency data
descriptionPublicationkeyboard_double_arrow_right Article 01 Sep 1974Publisher:JSTORJournal:Biometrics, volume 30, page 469 (issn: 0006-341X, Copyright policy )
Authors: Hocking, R. R.; Oxspring, H. H.;

doi: 10.2307/2529201

pmid: 4416091

The Analysis of Partially Categorized Contingency Data

Abstract

Summary: Sampling from multinomial populations in which classes are described according to two or more categories may, because of partial categorization of some of the observations, yield two or more related contingency tables. Estimation of parameters and tests of certain hypotheses for such partially categorized contingency data are considered and illustrated by several examples.

Keywords

Statistics as Topic, Health Surveys, Surveys and Questionnaires, Humans, Hypothesis testing in multivariate analysis, Nonparametric estimation, Nonparametric hypothesis testing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
29
Top 10%
Top 1%
Average
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