Analyses minéralogiques multivariées de sédiments du Wisconsinien supérieur au sud-ouest du Yukon

1996 ◽  
Vol 33 (1) ◽  
pp. 42-51 ◽  
Author(s):  
Véronique Dewez ◽  
Marie-Anne Geurts
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Flow Pattern ◽  
Relative Abundance ◽  
Heavy Mineral ◽  
The Other ◽  
Heavy Minerals ◽  
Sand Fraction ◽  
Ice Flow ◽  
Granitic Batholith

For this study, 84 samples of glacial and juxtaglacial sediments were collected in valleys of the Ruby Range and Aishihik Basin (southwestern Yukon). Analyses were conducted to quantify the heavy minerals in the sand fraction and to assess the petrography of the gravel fraction. A cluster analysis performed on the heavy mineral results showed five groups of deposits, three of which are related to local glaciers inside the Ruby Range, the other two being related to regional ice lobes of Kluane and Aishihik, respectively. The three groups of local sediments correspond to the three lithologies of the Ruby Range, i.e., the granitic batholith, the schists, and the alaskite. The sediments from the regional ice lobes are characterized by highly diversified mineralogy and petrography and the relative abundance of minerals from the Saint Elias Mountains, the main source of the ice lobes. A correspondance factor analysis performed on the heavy mineral results organizes samples and minerals into a triangular cloud, the three vertices corresponding to biotite, carbonate, and titanite–garnet. These are the key elements of local glaciers, Kluane ice lobe, and Aishihik ice lobe, respectively. Finally, the study shows the extension of Kluane lobe in one valley of the Ruby Range, the ice flow pattern in another valley, as well as a transfluence from Kluane lobe inside the Range.

Does Mutual Fund Management in India Correspond to its Investment Objective Classification?

2005 ◽  
Vol 08 (04) ◽  
pp. 659-685 ◽  
Author(s):  
Luis Ferruz Agudo ◽  
Cristina Ortiz Lázaro
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Mutual Fund ◽  
The Other ◽  
Fund Management ◽  
Institutional Control ◽  
Other Hand ◽  
Objective Classification ◽  
And Cluster Analysis

The aim of this article is to investigate the mutual fund market in India and verify whether or not the fund classification obtained from the name given to identify them corresponds to that which would be obtained were prior management to be taken into account. This industry has undergone spectacular growth in recent years, making this study extremely interesting, not least because institutional control could be less in times of expansion. The methodologies employed in the study are factor analysis and cluster analysis. The former determines that risk would clearly identify two groups of funds in the same manner as public classification of the funds. Cluster analysis, on the other hand, identifies funds that are, in fact, very close to one another, when for the bulk of investors they are not.

Heavy minerals as a guide to turbidite provenance in the Lower Palaeozoic Southern Welsh Basin: a pilot study

1992 ◽  
Vol 129 (5) ◽  
pp. 573-580 ◽  
Author(s):  
A. C. Morton ◽  
J. R. Davies ◽  
R. A. Waters
Keyword(s):  
Pilot Study ◽  
Heavy Mineral ◽  
The Other ◽  
Heavy Minerals ◽  
Mineral Analysis ◽  
Source Areas ◽  
Southern Area ◽  
Distinct Source ◽  
Lower Palaeozoic ◽  
Heavy Mineral Analysis

AbstractA pilot study has demonstrated that heavy mineral analysis is a useful guide to the provenance of Silurian turbidites in the Southern Welsh Basin. The results confirm the sedimentological evidence for two distinct source areas of coarse clastic detritus, one lying to the south and the other to the east. They also provide mineralogical criteria by which the two source areas may be distinguished. The southern area provided material with relatively low mineral diversity, and is characteristic in having low rutile/zircon ratios, whereas the eastern source provided more diverse assemblages, generally with high rutile/zircon ratios. The southern source shows variations in terms of apatite/tourmaline ratio, with the older Aberystwyth Grits Group tending to contain relatively low apatite compared with the younger Cwmystwyth Grits Group (Rhuddnant and Pysgotwr Grits formations). There is evidence for polycyclic material and volcanic detritus in both southerly and easterly derived samples; however, easterly-sourced sandstones apparently tapped a more lithologically-diverse terrain.

scholarly journals Socioeconomic profile of producers and dairy technological of farms in the southern mesoregion of Santa Catarina

2022 ◽  
Vol 43 (1) ◽  
pp. 107-120
Author(s):  
Thalyta Marcílio ◽  
◽  
Bruno Alexandre Dombroski Casas ◽  
Diego Hemkemeier Silva ◽  
Vanessa Peripolli ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Social Economic ◽  
Sampling Error ◽  
The Other ◽  
Insufficient Data ◽  
Santa Catarina ◽  
Average Area ◽  
Socioeconomic Profile ◽  
Main Activity

This study characterized the socioeconomic profile of milk producers and dairy technological of farms in the southern mesoregion of Santa Catarina. Following a 6.5% sampling of total farms by municipality, 95% confidence level, 5% sampling error, and group heterogeneity, data were collected from 308 farms, 22 of which were excluded due to insufficient data. The farmers were selected randomly, and information extracted from an electronic form, addressing social, economic, technical and technological issues. The data were analyzed using factor, cluster, and discriminant analysis. As farms with the main activity of dairy farming, they have an average area of 20.79 hectares and a production of 12.18 liters per animal per day. I n the factor analysis, the first factor was related to the area and productivity of farms and the second factor to sanitary control and the feed variety of the animals. The cluster analysis formed three clusters; the first and the second were composed of larger farms and areas, and the other consisted of smaller farms, the latter involving more producers. As farms are characterized by low production, there is clearly a deficiency in technical support for producers.

Genesis of podzols on coastal dunes in southern Queensland. V. Chemistry and mineralogy of the non-opaque heavy mineral fraction

Soil Research ◽  
1998 ◽  
Vol 36 (4) ◽  
pp. 699 ◽  
Author(s):  
D. J. Chittleborough ◽  
M. S. Tejan-Kella ◽  
R. W. Fitzpatrick
Keyword(s):  
Coastal Dunes ◽  
Fine Sand ◽  
Parent Material ◽  
Mineral Weathering ◽  
Heavy Mineral ◽  
Heavy Minerals ◽  
Sand Fraction ◽  
Mineral Fraction ◽  
Insignificant Difference ◽  
Proximate Source

Eight podzols on coastal dunes from the Cooloola chronosequence, and an associated pedon from North Stradbroke Island (Amity), were studied to establish (i) the degree of homogeneity of the parent material between and within profiles, (ii) the extent of heavy mineral weathering, and (iii) whether the parent sediments of each pedon had a common proximate source. The pedons are Quartzipsamments and Troporthods with ages ranging from Holocene to Pleistocene. On the basis of ratios zircon : rutile, zirconium : titanium, and non-magnetic : very magnetic heavy minerals in the fine sand fraction (53–125 µm), we concluded that the parent materials of the Cooloola pedons were mineralogically similar. By using zirconium in the non magnetic heavy mineral fraction as an index for zircon, it is evident that there has been considerable pedogenetic weathering of the heavy mineral fraction. There is a statistically insignificant difference in hafnium concentrations of zircons which implies that parent sediments of the soils at Cooloola and North Stradbroke Island were derived from a common immediate source.

scholarly journals Etude Mineralogique Des Fractions Sableuse Et Argileuse Du Remplissage Du Gisement De Montgaudier, Charente, France

2017 ◽  
Vol 13 (15) ◽  
pp. 195
Author(s):  
Boukhir Mohammed ◽  
Chaouni Abdel-Ali ◽  
Lahrach Abderrahim
Keyword(s):  
Mineralogical Composition ◽  
Surrounding Rock ◽  
The Other ◽  
Heavy Minerals ◽  
Sand Fraction ◽  
Mineralogical Study ◽  
Mineralogical Investigation ◽  
Opaque Minerals ◽  
Quartz Grains ◽  
Different Parts

The mineralogical investigation of sand fraction of different sectors of filling of Montgaudier deposit revealed that heavy minerals are mainly composed of amphiboles and disthene in all analyzed samples. The other mineralogical species encountered appear having only a secondary role in the composition of heavy mineral processions. These minerals are: Andalusite, brookite, chlorite, epidote, garnet, pyroxene, rutile, sillimanite and sphene. The opaque minerals are relatively numerous in all the studied samples which they are in different stages of alteration, associated with other minerals presenting a fresh appearance. The light minerals consist mainly of hyaline or translucent quartz grains and milky or opalescent grains. The study of clay minerals generally showed a predominance of kaolinite in all sectors, followed by illite and chlorite. Smectite comes in only fourth place. This cortege is complemented by interstratified smectite-chlorite, which are very poorly represented. The mineralogical study of the deposits at the different parts of the layers filling of the Montgaudier deposit and the sediments in the immediate vicinity permitted to determine the origin of these deposits. Their procession is largely influenced by the geological nature of the Tardoire watershed but also of the mineralogical composition of the surrounding rock in which this cave was.

scholarly journals Study of Regional Disparities among Districts in East Java Province

2018 ◽  
Vol 3 (2) ◽  
pp. 95
Author(s):  
Enggar Dwi Novianto ◽  
Wiwandari Handayani
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Manufacturing Industry ◽  
Agricultural Sector ◽  
Regional Disparities ◽  
The Other ◽  
Factors Influencing ◽  
Other Hand ◽  
The People ◽  
And Cluster Analysis

Some evidences have emerged indicating that there are regional disparities in East Java Province and industrialization seems to give its contribution in creating regional disparities. In 2014, Manufacturing industry dominated the contribution to the GDP which was 29%, on the other hand mostly the people who worked in the agricultural sector, and so the land which mostly agricultural. This study aims to identify factors influencing the disparities in East Java Province. This statement is also strengthened by the Williamson index which showed that the regional disparities were quite high, with two districts indicated to contributing the most, Kediri and Surabaya City. By using factor analysis, this research will try to answer what factors influencing the disparities statistically, and cluster analysis is trying to figure out the disparities spatially. Then it is going to be proven that some districts agglomerated in a certain area and can implicate the disparities in East Java.

scholarly journals Construcción y validación de un instrumento diagnóstico para la representación cognitiva de la Orientación Psicopedagógica en Galicia

2014 ◽  
Vol 20 (2) ◽  
pp. 184
Author(s):  
José Antonio Sarmiento Campos ◽  
Camilo Isaac Ocampo Gómez ◽  
Alfonso Cid Sabucedo
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Theoretical Model ◽  
Structural Equations ◽  
The Other ◽  
Internal Reliability ◽  
Reliability Level ◽  
Technical Specifications ◽  
And Cluster Analysis ◽  
Degree Of Similarity

RESUMEN Se presenta el proceso de validación de un instrumento de diagnóstico compuesto por dos elementos: ontología de la orientación psicopedagógica y cuestionario para indagar sobre el modelo común de orientación entre los orientadores educativos de Galicia. En el artículo se muestran las especificacio‐ nes técnicas del cuestionario, cuyo índice de consistencia interna es de un Alpha de 0,947. Mediante análisis factorial, de conglomerados y ecuaciones estructurales se identifican dos modelos, uno teórico y otro empírico. La gran afinidad entre ambos da cuenta de la validez de constructo del instrumento. Las conclusiones y la prospectiva del trabajo constituyen la parte final del artículo. ABSTRACT The aim of this work claims the validation of an instrument of diagnosis composed by two elements: ontology of the psycho-pedagogical guidance and a questionnaire to investigate the existence of a common model of psycho-pedagogical guidancee among the educational counsellors of Galicia. The ontology has been elaborated on the basis of 22 bibliographical and 5 legislative sources, whereas the questionnaire has been validated with a sample of 105 educational counsellors of public centers of primary and secondary. Along the article there are studied the technical specifications of the questionnaire. The internal reliability level (Cronbach’s alpha) was 0,947. On the other hand, by means of factor analysis and cluster analysis, several factors are established, as well as its relations, which there form two models, the theoretical and different empirical one. Using structural equations there is veri‐ fied the adjustment of both models for, finally, to establish the degree of similarity (correlation) bet‐ ween them. The above mentioned contrast concludes in the great affinity between the theoretical model and the empirical model, which realizes of its high construct validity. Finally the conclusions appear, the prospective of the work and of the instrument used.

Multivariate consumption profiling (MCP) for intelligent meter systems: a methodology to define categories and levels

2010 ◽  
Vol 10 (5) ◽  
pp. 710-720 ◽  
Author(s):  
J. L. Solanas ◽  
M. R. Cussó
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Multivariate Analysis ◽  
Discriminant Analysis ◽  
Reference Population ◽  
Statistical Analyses ◽  
Conceptual Schema ◽  
Data Variability ◽  
Water Companies ◽  
Analyse Data

Multivariate Consumption Profiling (MCP) is a methodology to analyse the readings made by Intelligent Meter (IM) systems. Even in advanced water companies with well supported IM, full statistical analyses are not performed, since no efficient methods are available to deal with all the data items. Multivariate Analysis has been proposed as a convenient way to synthesise all IM information. MCP uses Factor Analysis, Cluster Analysis and Discriminant Analysis to analyse data variability by categories and levels, in a cyclical improvement process. MCP obtains a conceptual schema of a reference population on a set of classifying tables, one for each category. These tables are quantitative concepts to evaluate consumption, meter sizing, leakage and undermetering for populations and groupings and individual cases. They give structuring items to enhance “traditional” statistics. All the relevant data from each new meter reading can be matched to the classifying tables. A set of indexes is computed and thresholds are used to select those cases with the desired profiles. The paper gives an example of a MCP conceptual schema for five categories, three variables, and five levels, and obtains its classifying tables. It shows the use of case profiles to implement actions in accordance with the operative objectives.

The five‐factor personality model in applied settings

1994 ◽  
Vol 8 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Itzhak Montag ◽  
Joseph Levin
Keyword(s):  
Factor Analysis ◽  
Personality Inventory ◽  
The Other ◽  
Factor Solution ◽  
Male And Female ◽  
Neo Personality Inventory ◽  
Clear Cut ◽  
Five Factors ◽  
Male Subjects ◽  
Female Subjects

Two studies of the Revised NEO‐Personality Inventory (NEO‐PI‐R) conducted on two different applicant samples (one consisting of 539 female subjects and the other consisting of 396 male subjects) are reported. Factor analysis of the female sample yielded a five‐factor solution, highly congruent with the factors presented by Costa, McCrae and Dye (1991). Results of the male data were less clear‐cut, yielding four to five factors which were moderately congruent with the American data. The combined male and female sample showed again high congruence coefficients. Various minor deviations in the location of the facet variables are discussed.

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