Statistical Analysis of Lead Isotope Data in Provenance Studies

1990 ◽  
Vol 185 ◽  
Author(s):  
Terry J. Reedy ◽  
Chandra L. Reedy
Keyword(s):  
Statistical Analysis ◽  
Discriminant Analysis ◽  
Canonical Variable ◽  
Lead Isotope ◽  
Lead Isotopes ◽  
Composition Data ◽  
Provenance Studies ◽  
Isotope Data ◽  
Consistent Method ◽  
Different Sources

AbstractTracing artifacts to ore sources is different from assigning ore samples to time epochs. Until now, archaeometrists working with lead isotopes have used the ratio methods developed by geochronologists. For provenance studies, however, the use of composition data (the fraction of each of the four isotopes) leads to fewer arbitrary choices, two standard types of plots (labelled ternary and canonical variable), and a consistent method of discriminant analysis for separating groups of samples from different sources.

scholarly journals Nuclear Magnetic Resonance Metabolomics with Double Pulsed-Field-Gradient Echo and Automatized Solvent Suppression Spectroscopy for Multivariate Data Matrix Applied in Novel Wine and Juice Discriminant Analysis

Molecules ◽  
2021 ◽  
Vol 26 (14) ◽  
pp. 4146
Author(s):  
José Enrique Herbert-Pucheta ◽  
José Daniel Lozada-Ramírez ◽  
Ana E. Ortega-Regules ◽  
Luis Ricardo Hernández ◽  
Cecilia Anaya de Parrodi
Keyword(s):  
Statistical Analysis ◽  
Discriminant Analysis ◽  
Field Gradient ◽  
Multivariate Statistical Analysis ◽  
Data Matrix ◽  
Cabernet Sauvignon ◽  
Gradient Echo ◽  
Multivariate Statistical ◽  
Orthogonal Projections ◽  
Pulsed Field

The quality of foods has led researchers to use various analytical methods to determine the amounts of principal food constituents; some of them are the NMR techniques with a multivariate statistical analysis (NMR-MSA). The present work introduces a set of NMR-MSA novelties. First, the use of a double pulsed-field-gradient echo (DPFGE) experiment with a refocusing band-selective uniform response pure-phase selective pulse for the selective excitation of a 5–10-ppm range of wine samples reveals novel broad 1H resonances. Second, an NMR-MSA foodomics approach to discriminate between wine samples produced from the same Cabernet Sauvignon variety fermented with different yeast strains proposed for large-scale alcohol reductions. Third a comparative study between a nonsupervised Principal Component Analysis (PCA), supervised standard partial (PLS-DA), and sparse (sPLS-DA) least squares discriminant analysis, as well as orthogonal projections to a latent structures discriminant analysis (OPLS-DA), for obtaining holistic fingerprints. The MSA discriminated between different Cabernet Sauvignon fermentation schemes and juice varieties (apple, apricot, and orange) or juice authentications (puree, nectar, concentrated, and commercial juice fruit drinks). The new pulse sequence DPFGE demonstrated an enhanced sensitivity in the aromatic zone of wine samples, allowing a better application of different unsupervised and supervised multivariate statistical analysis approaches.

Affluent and Nonaffluent Consumers′ Needs: Attitudes, and Information‐Seeking Behaviour in the Financial Services Marketplace

1990 ◽  
Vol 4 (4) ◽  
pp. 41-54 ◽  
Author(s):  
Edward G. Thomas ◽  
S.R. Rao ◽  
Rajshekhar G. Javalgi
Keyword(s):  
Statistical Analysis ◽  
Discriminant Analysis ◽  
Survey Data ◽  
Financial Institutions ◽  
Financial Services ◽  
Information Seeking ◽  
Financial Services Industry ◽  
Market Segments ◽  
Information Seeking Behaviour ◽  
Services Industry

Considers the proliferation of products and services in the financial services industry aimed at different market segments. Highlights the affluent and nonaffluent market segments. Employs statistical analysis of survey data to evaluate the financial services needs, attitudes, and information‐seeking behaviour of these segments. Suggests implications for the managers of financial institutions, based on the study findings. Includes appendices on methodology and discriminant analysis used in the study.

scholarly journals Statistical analysis of solid waste composition data: Arithmetic mean, standard deviation and correlation coefficients

2017 ◽  
Vol 69 ◽  
pp. 13-23 ◽  
Author(s):  
Maklawe Essonanawe Edjabou ◽  
Josep Antoni Martín-Fernández ◽  
Charlotte Scheutz ◽  
Thomas Fruergaard Astrup
Keyword(s):  
Statistical Analysis ◽  
Standard Deviation ◽  
Solid Waste ◽  
Correlation Coefficients ◽  
Arithmetic Mean ◽  
Composition Data ◽  
Waste Composition

Lead isotope analyses from Tell Abraq, United Arab Emirates: new data regarding the ‘tin problem’ in Western Asia

Antiquity ◽  
1999 ◽  
Vol 73 (279) ◽  
pp. 49-64 ◽  
Author(s):  
Lloyd Weeks
Keyword(s):  
United Arab Emirates ◽  
Lead Isotope ◽  
Isotope Data ◽  
Western Asia ◽  
Tell Abraq ◽  
New Research ◽  
Isotope Analyses

The ‘tin problem’ forms the focus for discussion on the earliest use of tin and bronze in western Asia and the Aegean. New research on lead isotope data from Tell Abraq in the UAE has important implications for the advent of bronze in the region.

Lead-isotope study of mineralization in the Cobalt district, Ontario

1986 ◽  
Vol 23 (10) ◽  
pp. 1568-1575 ◽  
Author(s):  
R. I. Thorpe ◽  
M. D. Goodz ◽  
I. R. Jonasson ◽  
J. Blenkinsop
Keyword(s):  
Lead Isotope ◽  
Sedimentary Rocks ◽  
Time Range ◽  
Two Stage ◽  
Metal Source ◽  
Genetic Link ◽  
Isotope Data ◽  
Isotope Study ◽  
Homogeneous Composition ◽  
Isotope Analyses

Twenty-seven lead-isotope analyses for galena specimens from 14 localities in the Cobalt district represent sulphide-rich interflow sedimentary units in the Archean volcanic sequence, mineralized zones, fracture fillings, and local sulphide concentrations in the Cobalt Group (Proterozoic) sedimentary rocks, and vein-filling and breccia-cementing sulphides from within and near silver–arsenide veins. The analyses define a very homogeneous composition, averaging 206Pb/204Pb = 14.732, 2O7Pb/204Pb = 15.114, and 208Pb/204Pb = 34.301, for lead from these different geological settings. This result is in agreement with textural observations indicating a late paragenetic position for galena in the different settings mentioned. The model age for this lead is in general accord with the U–Pb age obtained in a study by Andrews et al. for a Nipissing diabase sheet at Gowganda.About one third of the galena specimens are interpreted by a two-stage evolution model to have formed or been remobilized during an event in the time range 1650–1945 Ma. The timing and character of this event are not clearly defined. The radiogenic composition of a specimen from the Pan Silver property is comparable to radiogenic values reported by Thorpe and suggests a young galena-forming event in the area.The lead-isotope data are permissive evidence for a genetic link between the Nipissing diabase sheets and mineralization of a variety of types in the Cobalt district. The metal source is not clearly indicated, but one analysis for Archean interflow sulphides suggests than an Archean source is unlikely for the lead in the silver–arsenide veins and other mineralized zones.

scholarly journals Assessment of groundwater quality by using statistical analysis from kopargaon taluka, Ahmednagar, India

2016 ◽  
Vol 4 (2) ◽  
pp. 15
Author(s):  
Deshpande A.V. ◽  
Patil S.N.
Keyword(s):  
Statistical Analysis ◽  
Correlation Analysis ◽  
Groundwater Quality ◽  
Negative Correlation ◽  
Monsoon Season ◽  
Pearson Correlation ◽  
Post Monsoon ◽  
Post Monsoon Season ◽  
Different Sources ◽  
Descriptive Statistical Analysis

The study was conducted to evaluate the groundwater quality along the Kopargaon taluka. Thirty six ground water samples were collected from different sources in pre monsoon and post monsoon season, during the year 2013. The descriptive statistical analysis was carried out besides Pearson correlation. Correlation analysis revealed that very strong correlation exists between HCO3and Na(0.961), HCO3and Mg++ (0.935), HCO3and EC (0.927). Where highly negative correlation is observed between Na and pH (-0.537) during pre-monsoon season. During post monsoon season highly positive correlation is observed between Cl- and Ca++ (0.973), Ca and EC (0.967), Cl- and EC (0.966), SO4 and EC (0.948). Where, highly negative correlation is observed between Ca and pH (-0.533).

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