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An examination of the use of the logratio transformation for the testing of endmember hypotheses

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What this work says

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

inferredcites →https://doi.org/10.1007/978-94-009-4109-0openalex-snapshot
The Statistical Analysis of Compositional Data
inferredcites →https://doi.org/10.1016/0016-7037(84)90348-xopenalex-snapshot
An objective technique for determining end-member compositions and for partitioning sediments according to their sources
inferredcites →https://doi.org/10.1016/0016-7037(87)90243-2openalex-snapshot
The origin of paleochemical signatures in North Pacific pelagic clays: Partitioning experiments
inferredcites →https://doi.org/10.1016/0016-7037(89)90248-2openalex-snapshot
Comment on “Bediasite source materials: A solution to an endmember mixing problem exploiting closed data” by A. Woronow and K.M. Love
inferredcites →https://doi.org/10.1080/00401706.1988.10488337openalex-snapshot
The Statistical Analysis of Compositional Data
inferredcites →https://doi.org/10.1130/0016-7606(1964)75[1131:vaohd]2.0.co;2openalex-snapshot
Vector Analysis of Heavy-Mineral Data
inferredcites →https://doi.org/10.1130/mem154-p133openalex-snapshot
Geochemistry of Nazca plate surface sediments: An evaluation of hydrothermal, biogenic, detrital, and hydrogenous sources
inferredcites →https://doi.org/10.2307/2529325openalex-snapshot
Geological Factor Analysis.
inferredcites →https://doi.org/10.26686/wgtn.16945774openalex-snapshot
On the Resolution of Compositional Datasets into Convex Combinations of Extreme Vectors
inferredcites →https://doi.org/10.3133/24978openalex-snapshot
Geological Survey professional paper
inferredcites →https://doi.org/10.3133/mf1869openalex-snapshot
Station maps of the world ocean-ferromanganese-crust data base
inferredcites →https://doi.org/10.3133/pp574gopenalex-snapshot
Q-mode factor analysis of geochemical and petrologic data matrices with constant row-sums
inferredcites →https://doi.org/10.4095/128073openalex-snapshot
A partitioning process for geochemical datasets

What points at this work

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

inferred← citeshttps://doi.org/10.1007/bf00893751openalex-snapshot
Endmember graphics
inferred← citeshttps://doi.org/10.1007/bf02084423openalex-snapshot
The construction of extreme compositions
inferred← citeshttps://doi.org/10.1007/bf02775085openalex-snapshot
End-member modeling of compositional data: Numerical-statistical algorithms for solving the explicit mixing problem
inferred← citeshttps://doi.org/10.1007/s11004-015-9611-0openalex-snapshot
BEMMA: A Hierarchical Bayesian End-Member Modeling Analysis of Sediment Grain-Size Distributions
inferred← citeshttps://doi.org/10.1007/s12040-014-0469-1openalex-snapshot
An appraisal of an iterative construction of the endmembers controlling the composition of deep-sea manganese nodules from the Central Indian Ocean Basin
inferred← citeshttps://doi.org/10.1016/0098-3004(93)90034-3openalex-snapshot
A constrained least-squares subroutine for adjusting negative estimated element concentrations to zero
inferred← citeshttps://doi.org/10.1016/0098-3004(95)00053-4openalex-snapshot
An algorithm for constructing extreme compositions
inferred← citeshttps://doi.org/10.1016/j.catena.2019.04.029openalex-snapshot
Applying end-member modeling to extricate the sedimentary environment of yardang strata in the Dunhuang Yardang National Geopark, northwestern China
inferred← citeshttps://doi.org/10.1016/j.sedgeo.2011.09.014openalex-snapshot
An end-member algorithm for deciphering modern detrital processes from lake sediments of Lake Donggi Cona, NE Tibetan Plateau, China
inferred← citeshttps://doi.org/10.1016/s0883-2927(97)00008-5openalex-snapshot
Endmember analysis of metalliferous sediments from the Galapagos Rift and East Pacific Rise between 2°N and 42°S
inferred← citeshttps://doi.org/10.1016/s0883-2927(97)00100-5openalex-snapshot
Endmember analysis of heavy-metal pollution in surficial sediments from the Gulf of Gdansk and the southern Baltic Sea off Poland
inferred← citeshttps://doi.org/10.1016/s0927-5215(02)80009-1openalex-snapshot
Chapter 6 Sources of chemical elements
inferred← citeshttps://doi.org/10.1017/qua.2017.78openalex-snapshot
Unmixing grain-size distributions in lake sediments: a new method of endmember modeling using hierarchical clustering
inferred← citeshttps://doi.org/10.1023/a:1007568008032openalex-snapshot
Logratios and Natural Laws in Compositional Data Analysis
inferred← citeshttps://doi.org/10.1023/a:1013928826796openalex-snapshot
A History of Regression and Related Model-Fitting in the Earth Sciences (1636?-2000)
inferred← citeshttps://doi.org/10.1080/01621459.1994.10476883openalex-snapshot
Resolution of Additive Mixtures Into Source Components and Contributions: A Compositional Approach
inferred← citeshttps://doi.org/10.1109/afrcon.1996.562956openalex-snapshot
Beyond the resolution limit: using least squares for subpixel analysis in remote sensing
inferred← citeshttps://doi.org/10.1201/9781420003987.ch4openalex-snapshot
Chemometric Techniques in Analytical Evaluation of Food Quality
inferred← citeshttps://doi.org/10.13140/rg.2.1.1183.9528openalex-snapshot
A Hierarchical Bayesian Model for the Unmixing Analysis of Compositional Data subject to Unit-sum Constraints
inferred← citeshttps://doi.org/10.2307/2986179openalex-snapshot
The Resolution of a Compositional Data Set into Mixtures of Fixed Source Compositions
inferred← citeshttps://doi.org/10.23689/fidgeo-327openalex-snapshot
Advanced methods for analysing and modelling multivariate palaeoclimatic time series
inferred← citeshttps://doi.org/10.6010/geoinformatics1990.4.3_357openalex-snapshot
FACTOR ANALYSIS AS A MATHEMATICAL TOOL IN THE GEOSCIENCES
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