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No-association of proportions

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-94-010-1845-6_16openalex-snapshot
Statistical Problems of Size and Shape. I. Biological Applications and Basic Theorems
inferredcites →https://doi.org/10.1007/978-94-010-1845-6_17openalex-snapshot
Statistical Problems of Size and Shape. II. Characterizations of the Lognormal, Gamma and Dirichlet Distributions
inferredcites →https://doi.org/10.1007/bf02048563openalex-snapshot
Null correlation for proportions
inferredcites →https://doi.org/10.1007/bf02080634openalex-snapshot
Association of proportions
inferredcites →https://doi.org/10.1007/bf02312478openalex-snapshot
Null correlation for proportions—II
inferredcites →https://doi.org/10.1080/00288306.1958.10423187openalex-snapshot
Petrogenetic implications of the 1954 Ngauruhoe lava and its xenoliths
inferredcites →https://doi.org/10.1080/01621459.1969.10500963openalex-snapshot
Concepts of Independence for Proportions with a Generalization of the Dirichlet Distribution
inferredcites →https://doi.org/10.1080/01621459.1970.10481136openalex-snapshot
Size Allometry: Size and Shape Variables with Characterizations of the Lognormal and Generalized Gamma Distributions
inferredcites →https://doi.org/10.1080/01621459.1971.10482324openalex-snapshot
A Characterization of the Dirichlet Distribution
inferredcites →https://doi.org/10.1080/01621459.1977.10479942openalex-snapshot
OnF-Independence for Nonnegative, Bounded-Sum Variables When the Bound is Large
inferredcites →https://doi.org/10.1093/biomet/49.1-2.65openalex-snapshot
On the Compound Multinomial Distribution, the Multivariate β- Distribution, and Correlations Among Proportions
inferredcites →https://doi.org/10.1111/j.2517-6161.1974.tb01023.xopenalex-snapshot
F-Independence and Null Correlation of Continuous, Bounded-Sum, Positive Variables
inferredcites →https://doi.org/10.1130/0016-7606(1955)66[511:pisna]2.0.co;2openalex-snapshot
PALYNOLOGY IN SOUTHERN NORTH AMERICA
inferredcites →https://doi.org/10.1214/aoms/1177729754openalex-snapshot
On a Measure of Dependence Between two Random Variables
inferredcites →https://doi.org/10.1214/aos/1176342429openalex-snapshot
Two Characterizations of the Dirichlet Distribution

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/0471667196.ess0875openalex-snapshot
Geology, Statistics in
inferred← citeshttps://doi.org/10.1002/0471667196.ess0875.pub2openalex-snapshot
Geology, Statistics in
inferred← citeshttps://doi.org/10.1002/9781118445112.stat03417openalex-snapshot
Geology, Statistics in
inferred← citeshttps://doi.org/10.1002/fut.3990120509openalex-snapshot
A note on the effect of no‐arbitrage conditions
inferred← citeshttps://doi.org/10.1007/978-3-319-57315-1_1openalex-snapshot
A
inferred← citeshttps://doi.org/10.1007/978-94-009-8549-0_11openalex-snapshot
Distributions on the Simplex for the Analysis of Neutrality
inferred← citeshttps://doi.org/10.1007/978-94-009-8549-0_9openalex-snapshot
Distributions Associated with Neutrality Properties for Random Proportions
inferred← citeshttps://doi.org/10.1007/bf00963587openalex-snapshot
Ratio correlations and major element mobility in altered basalts and komatiites
inferred← citeshttps://doi.org/10.1007/bf01030083openalex-snapshot
Detecting nonrandom associations between proportions by tests of remaining-space variables
inferred← citeshttps://doi.org/10.1007/bf01031393openalex-snapshot
A new approach to null correlations of proportions
inferred← citeshttps://doi.org/10.1007/bf01091206openalex-snapshot
Asymmetric measures of association, closed data, and multivariate analysis
inferred← citeshttps://doi.org/10.1016/0166-5162(82)90017-9openalex-snapshot
Organic petrology and source rock potential of sediments in the Eromanga Basin, South Australia
inferred← citeshttps://doi.org/10.1016/b978-0-444-42098-5.50017-1openalex-snapshot
References
inferred← citeshttps://doi.org/10.1093/biomet/70.1.57openalex-snapshot
Principal Component Analysis of Compositional Data
inferred← citeshttps://doi.org/10.1111/j.2517-6161.1982.tb01195.xopenalex-snapshot
The Statistical Analysis of Compositional Data
inferred← citeshttps://doi.org/10.82444/warw.33741289openalex-snapshot
Using generalized linear models to model compositional response data
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