On the public citation graph
The effects of closure on the moments of a distribution
0 signed · 37 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/bf02067213openalex-snapshot
Examination of the Chayes-Kruskal procedure for testing correlations between proportions
inferredcites →https://doi.org/10.1016/0016-7037(54)90021-6openalex-snapshot
The lognormal distribution of the elements (2)
inferredcites →https://doi.org/10.1016/0016-7037(54)90040-xopenalex-snapshot
The lognormal distribution of the elements (A fundamental law of geochemistry and its subsidiary)
inferredcites →https://doi.org/10.1016/0016-7037(56)90058-8openalex-snapshot
Frequency-distributions of elements in igneous rocks
inferredcites →https://doi.org/10.1016/0016-7037(61)90091-6openalex-snapshot
Element distribution laws in geochemistry
inferredcites →https://doi.org/10.1016/0016-7037(89)90185-3openalex-snapshot
Geochim. cosmochim. acta
inferredcites →https://doi.org/10.1086/626835openalex-snapshot
Numerical Correlation and Petrographic Variation
inferredcites →https://doi.org/10.1086/627204openalex-snapshot
An Approximate Statistical Test for Correlations between Proportions
inferredcites →https://doi.org/10.1093/biomet/20a.1-2.53openalex-snapshot
FREQUENCY DISTRIBUTION OF AN INDEX WHEN BOTH THE COMPONENTS FOLLOW THE NORMAL LAW
inferredcites →https://doi.org/10.1093/biomet/7.4.531openalex-snapshot
ON THE CONSTANTS OF INDEX-DISTRIBUTIONS AS DEDUCED FROM THE LIKE CONSTANTS FOR THE COMPONENTS OF THE RATIO, WITH SPECIAL REFERENCE TO THE OPSONIC INDEX
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-82568-3_2openalex-snapshot
A Review of Compositional Data Analysis
inferred← citeshttps://doi.org/10.1007/978-3-642-36809-7_2openalex-snapshot
Fundamental Concepts of Compositional Data Analysis
inferred← citeshttps://doi.org/10.1007/978-94-015-6844-9_65openalex-snapshot
Multivariate Geostatistics and Sampling Problems
inferred← citeshttps://doi.org/10.1007/bf01029299openalex-snapshot
Effects of closure on the measures of similarity between samples
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/bf01030084openalex-snapshot
Second-order approximation to the variance of a proportion
inferred← citeshttps://doi.org/10.1007/bf01031888openalex-snapshot
Morphologically based sampling designs for zoned orthopyroxenes
inferred← citeshttps://doi.org/10.1007/bf01032009openalex-snapshot
Effect of various transformations on the analysis of percentage data
inferred← citeshttps://doi.org/10.1007/s11004-005-7383-7openalex-snapshot
Compositional Data Analysis: Where Are We and Where Should We Be Heading?
inferred← citeshttps://doi.org/10.1016/0009-2541(91)90119-copenalex-snapshot
Chemical changes induced in aragonite using treatments for the destruction of organic material
inferred← citeshttps://doi.org/10.1016/0012-821x(92)90145-lopenalex-snapshot
A test of the γ method for evaluating the periodicity of cyclical sediments
inferred← citeshttps://doi.org/10.1016/0024-4937(80)90062-6openalex-snapshot
Numerical consequences of computing structural formulas
inferred← citeshttps://doi.org/10.1016/0377-8398(96)00004-7openalex-snapshot
The surface ocean productivity and bottom water oxygen signals in deep water benthic foraminiferal assemblages
inferred← citeshttps://doi.org/10.1016/j.apgeochem.2016.05.004openalex-snapshot
Exploring the joint compositional variability of major components and trace elements in the Tellus soil geochemistry survey (Northern Ireland)
inferred← citeshttps://doi.org/10.1016/j.apgeochem.2019.104379openalex-snapshot
Constraining the distribution of elements and their controlling factors in the Zhaojikou Pb–Zn ore deposit, SE China, via fractal and compositional data analysis
inferred← citeshttps://doi.org/10.1016/j.sedgeo.2012.05.005openalex-snapshot
Uses and misuses of compositional data in sedimentology
inferred← citeshttps://doi.org/10.1016/s0031-0182(85)80008-0openalex-snapshot
Recent and possible future mathematical developments in quantitative palaeoecology
inferred← citeshttps://doi.org/10.1016/s0377-8398(00)00039-6openalex-snapshot
The response of benthic foraminifers to carbon flux and primary production in the Arctic Ocean
inferred← citeshttps://doi.org/10.1016/s0377-8398(97)00002-9openalex-snapshot
Reconstructing paleoecology and paleoenvironmental variables using factor analysis and regression: some limitations
inferred← citeshttps://doi.org/10.1016/s0377-8398(99)00004-3openalex-snapshot
Quantitative paleo-estimation: hypothetical experiments with extrapolation and the no-analog problem
inferred← citeshttps://doi.org/10.1021/acsomega.4c02078openalex-snapshot
Identification of Geochemical Anomalies Based on RPCA and Multifractal Theory: A Case Study of the Sidaowanzi Area, Chifeng, Inner Mongolia
inferred← citeshttps://doi.org/10.1029/94pa01624openalex-snapshot
Quantitative estimation of surface ocean productivity and bottom water oxygen concentration using benthic foraminifera
inferred← citeshttps://doi.org/10.1144/gsl.sp.2006.264.01.01openalex-snapshot
Compositional data and their analysis: an introduction
inferred← citeshttps://doi.org/10.1144/gsl.sp.2006.264.01.03openalex-snapshot
Log-ratios and geochemical discrimination of Scottish Dalradian limestones: a case study
inferred← citeshttps://doi.org/10.5194/hess-24-2505-2020openalex-snapshot
Systematic comparison of five machine-learning models in classification and interpolation of soil particle size fractions using different transformed data
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.