Origin of quartzofeldspathic gneisses at Montauban-les-Mines, Quebec

1984 ◽  
Vol 21 (3) ◽  
pp. 336-345 ◽  
Author(s):  
M. K. Prabhu ◽  
G. R. Webber
Keyword(s):  
Discriminant Function ◽  
Mineral Deposits ◽  
Normative Quartz ◽  
Gold Mineral

Quartzofeldspathic gneisses near zinc–lead–gold mineral deposits at Montauban-les-Mines, Quebec, have been examined geochemically to determine whether their protoliths were dominantly sedimentary or igneous. The gneisses are generally similar in average compositions to both rhyolitic rocks and sandstones (greywackes in particular). The most useful methods of protolith discrimination were found to be: (1) log (SiO2/Al2O3) versus log [(CaO + Na2O)/K2O]; (2) Niggli si versus mg; (3) normative quartz; (4) Shaw's discriminant function. Application of these criteria indicates that the Montauban quartzo-feldspathic gneisses were derived dominantly from quartzose sandstone or greywacke protoliths (or both).

scholarly journals Gold metallogenic zoning and mineralized prospect in Dalat zone

2013 ◽  
Vol 16 (2) ◽  
pp. 85-96
Author(s):  
Hoang Kim Nguyen
Keyword(s):  
Gold Mineralization ◽  
Mineral Exploration ◽  
Tectonic Setting ◽  
Sedimentary Rocks ◽  
Mineral Deposits ◽  
Late Mesozoic ◽  
Main Factors ◽  
Gold Mineral ◽  
Granitoid Intrusions ◽  
Dalat Zone

Dalat structural zone was had formed in tectonic setting of continental margin arc in late Mesozoic, have given structural and metallogenic zoning. In this Dalat structural zone, gold is one of the few endogenous minerals is significant mineralization in the study and search - exploration. Endogenic gold distribution in Dalat zone are controlled by main factors such as: structure – locally tectonics (structural fold, brittle fault, structure of dome top of granitoid intrusions, tectonic setting), intrusion (related to gold mineralization), stratigraphy-lithology (environmental containments: volcanic, igneous, terrigenous sedimentary rocks, dykes). Based on analysis of factors of ore control, 138 gold mineral deposits, mineral occurrences and mineralized occurrences, and research several characteristic gold mineral doposits, and mineral occurrences, conducting gold metallogenic zoning, and evaluating the potential of these gold ore regions. These results mean a lot to innovated to next gold prospecting - mineral exploration.

Diagnoses Generated by Numerical Taxonomic Methods Applied to Standard Blood Variables

1980 ◽  
Vol 19 (04) ◽  
pp. 205-209
Author(s):  
L. A. Abbott ◽  
J. B. Mitton
Keyword(s):  
Liver Cirrhosis ◽  
Renal Disease ◽  
Principal Components Analysis ◽  
Discriminant Function ◽  
Principal Components ◽  
Discriminant Function Analysis ◽  
Chronic Renal Disease ◽  
Function Analysis ◽  
Infectious Hepatitis ◽  
Components Analysis

Data taken from the blood of 262 patients diagnosed for malabsorption, elective cholecystectomy, acute cholecystitis, infectious hepatitis, liver cirrhosis, or chronic renal disease were analyzed with three numerical taxonomy (NT) methods : cluster analysis, principal components analysis, and discriminant function analysis. Principal components analysis revealed discrete clusters of patients suffering from chronic renal disease, liver cirrhosis, and infectious hepatitis, which could be displayed by NT clustering as well as by plotting, but other disease groups were poorly defined. Sharper resolution of the same disease groups was attained by discriminant function analysis.

Quadratic Discriminant Analysis of Spatially Correlated Data

2001 ◽  
Vol 6 (2) ◽  
pp. 15-28 ◽  
Author(s):  
K. Dučinskas ◽  
J. Šaltytė
Keyword(s):  
Discriminant Function ◽  
Error Rate ◽  
Gaussian Random Field ◽  
Correlated Data ◽  
Covariance Matrices ◽  
Classification Rule ◽  
Spatial Correlations ◽  
Linear Quadratic ◽  
Spatial Correlation Function ◽  
Spatially Correlated

The problem of classification of the realisation of the stationary univariate Gaussian random field into one of two populations with different means and different factorised covariance matrices is considered. In such a case optimal classification rule in the sense of minimum probability of misclassification is associated with non-linear (quadratic) discriminant function. Unknown means and the covariance matrices of the feature vector components are estimated from spatially correlated training samples using the maximum likelihood approach and assuming spatial correlations to be known. Explicit formula of Bayes error rate and the first-order asymptotic expansion of the expected error rate associated with quadratic plug-in discriminant function are presented. A set of numerical calculations for the spherical spatial correlation function is performed and two different spatial sampling designs are compared.

THREAT ASSESSMENT OF THE DEPLETION OF TRADITIONAL FUEL-ENERGY RESOURCES

2017 ◽  
Author(s):  
Nikolay Tymchenko ◽  
◽  
Nataliia Fialko ◽  
Keyword(s):  
Threat Assessment ◽  
Energy Resources ◽  
Mineral Deposits ◽  
Fossil Energy ◽  
Global Threat

The issues of the global threat seeing depletion of the main types of traditional fossil energy resources were analyzed. The data is given on the proven world reserves of these energy resources and the timing of their depletion. The theory of M.K. Hubbert on the depletion of mineral deposits is considered. The application of the theory to assess the reserves of fossil energy resources in different countries is analyzed.

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