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The construction of extreme compositions
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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/10.1007/bf01031518openalex-snapshot
EXTENDED QMODEL?objective definition of external end members in the analysis of mixtures
inferredcites →https://doi.org/10.1007/bf01032888openalex-snapshot
FUZZY QMODEL?A new approach for linear unmixing
inferredcites →https://doi.org/10.1007/bf02047433openalex-snapshot
An algorithm andFortran-iv program for large-scaleQ-mode factor analysis and calculation of factor scores
inferredcites →https://doi.org/10.1007/bf02065806openalex-snapshot
An examination of the use of the logratio transformation for the testing of endmember hypotheses
inferredcites →https://doi.org/10.1016/0016-7037(84)90186-8openalex-snapshot
Ferromanganese nodules from MANOP Sites H, S, and R—Control of mineralogical and chemical composition by multiple accretionary processes
inferredcites →https://doi.org/10.1016/0016-7037(88)90188-3openalex-snapshot
Bediasite source materials: A solution to an endmember mixing problem exploiting closed data
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/10.1016/0098-3004(76)90003-0openalex-snapshot
Q-mode factor analysis of compositional data
inferredcites →https://doi.org/10.1016/0098-3004(76)90004-2openalex-snapshot
Extended cabfac and Qmodel computer programs for Q-mode factor analysis of compositional data
inferredcites →https://doi.org/10.1016/0098-3004(93)90034-3openalex-snapshot
A constrained least-squares subroutine for adjusting negative estimated element concentrations to zero
inferredcites →https://doi.org/10.1016/0098-3004(95)00053-4openalex-snapshot
An algorithm for constructing extreme compositions
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/10.2307/2986179openalex-snapshot
The Resolution of a Compositional Data Set into Mixtures of Fixed Source Compositions
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/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/bf02775085openalex-snapshot
End-member modeling of compositional data: Numerical-statistical algorithms for solving the explicit mixing problem
inferred← citeshttps://doi.org/10.1007/s11004-005-7375-7openalex-snapshot
Latent Compositional Factors in The Llobregat River Basin (Spain) Hydrogeochemistry
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/10.1007/s12665-012-1542-1openalex-snapshot
Statistical comparisons of heavy metal pollutants between seven regions of the Polish exclusive economic zone
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.sedgeo.2007.03.007openalex-snapshot
Genetically meaningful decomposition of grain-size distributions
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/s0012-8252(01)00076-9openalex-snapshot
Quantitative analysis of detrital modes: statistically rigorous confidence regions in ternary diagrams and their use in sedimentary petrology
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/10.1029/2011jb008859openalex-snapshot
A method for unmixing magnetic hysteresis loops
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
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