The petrographic compositions of Chinese commercial coals: A national survey and statistical analysis

Fuel ◽  
2022 ◽  
Vol 310 ◽  
pp. 122323
Author(s):  
Yue Wang ◽  
Xiangfei Bai ◽  
Linlin Wu ◽  
Yuhong Zhang ◽  
Sijian Qu
2017 ◽  
Vol 9 (1) ◽  
pp. 120 ◽  
Author(s):  
Gina Valdivieso ◽  
Efstathios Stefos ◽  
Ruth Lalama

The present study describes the social and educational characteristics of the Ecuadorian Amazon population. For this purpose, the data obtained from the National Survey of Employment, Unemployment and Underemployment of 2014 was used in this research. A descriptive statistical analysis presents the frequency, the percentages and the graphs of the variables related to the area in which people live, gender, age, ethnic self-identification, language spoken, marital status and level of instruction. Other variables are the use of computer and internet, place of birth, reason why they live in the Amazon region, type of activity or inactivity, how do they feel in their jobs, and groups of occupation. Also, a factorial analysis was used to show the main and most important criteria of differentiation and the the clusters of people with similar characteristics.


2017 ◽  
Vol 9 (2) ◽  
pp. 35
Author(s):  
Andrés Bonilla Marchán ◽  
Ramiro Delgado ◽  
Efstathios Stefos

The purpose of this study is to investigate social characteristics of postgraduate students in Ecuador. The study was conducted with the use of a descriptive and multidimensional statistical analysis, and data from the National Survey of Employment, Unemployment and Underemployment corresponding to 2015. The descriptive analysis has shown the frequencies and percentages of the variables of the research. The multidimensional statistical analysis was used in order to show the main and most important criteria of differentiation and the classification in clusters of people being studied. The methods used are the factorial analysis of multiple correspondences that presents the criteria of differentiation and the hierarchical clustering that defines the groups of people due to their common characteristics.


1989 ◽  
Vol 16 (3) ◽  
pp. 145-147 ◽  
Author(s):  
James V. Couch ◽  
Michael L. Stoloff

A national survey of academic psychologists indicated increasing use of microcomputers for instructional purposes and that such use was unrelated to department size. Apple and IBM microcomputers, the predominant brands, were represented about equally. Software was used most frequently for statistical analysis and word processing. Microcomputers were used most often in research methods and statistics courses.


Author(s):  
Chalermsak Lertwongsatien ◽  
Nitaya Wongpinunwatana ◽  
Angsana Achakulwisut

This study examines the factors influencing the variations of e-commerce adoption decisions in small and medium businesses in Thailand. Based on the literature review, three groups of factors are identified, including organizational, technology, and environmental factors. Firms are classified into three main groups based on the extent to which an organization is relatively earlier to adopt e-commerce than others, namely adopters, prospectors, and laggards. Data was collected through a national survey in several provinces in Thailand. The statistical analysis results strongly support the hypotheses. The results are interpreted and the implications of this study are subsequently discussed.


2017 ◽  
Vol 9 (2) ◽  
pp. 237 ◽  
Author(s):  
Andrés Bonilla Marchán ◽  
Ramiro Delgado ◽  
Efstathios Stefos

The objective of this study is to highlight the social characteristics of the unskilled workers and artisans of Ecuador through a descriptive and multidimensional statistical analysis of data from the 2015 National Survey of Employment, Unemployment and Self-employment. The descriptive statistical analysis demonstrates the frequencies and percentages of the variables of the investigation while the multidimensional statistical analysis shows the principal criteria of differentiation and classification between the groups of people surveyed. The methods involved a factorial analysis of multiple correspondences indicating the criteria of differentiation, and a statistical hierarchical analysis, which attempts to define the subjects surveyed according to their common traits.


2017 ◽  
Vol 9 (3) ◽  
pp. 53
Author(s):  
Fernando Pesántez Avilés ◽  
Vladimir Robles Bykbaev ◽  
Efstathios Stefos

The objective of the study is to examine the educational and social profile of young people aged 5-14 of Ecuador by means of a statistical analysis of this sector of the Ecuadorian population, based on data from the National Survey of Employment, Unemployment and Underemployment from 2015. The statistical analysis shows the frequency and percentages of the variables used in the investigation. We use contingency tables in order to explore the relationship between the variables under investigation and the poverty in this age group.


2017 ◽  
Vol 10 (6) ◽  
pp. 51
Author(s):  
Olga Elizabeth Minchala Buri ◽  
Efstathios Stefos

The objective of this study is to examine the social profile of students who are enrolled in Basic General Education in Ecuador. Both a descriptive and multidimensional statistical analysis was carried out based on the data provided by the National Survey of Employment, Unemployment and Underemployment in 2015. The descriptive analysis shows the frequency and percentages of variables used in the investigation, and the multidimensional statistical analysis demonstrates the principal and more important criteria of differentiation and classification among the clusters of students who were investigated. These methods involve factorial analysis of multiple correspondences which demonstrate criteria of differentiation and a hierarchical cluster analysis to define clusters of students according to their common traits.


1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.


Author(s):  
Gianluigi Botton ◽  
Gilles L'espérance

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.


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