GRAPHIC PRESENTATION AND STATISTICAL ANALYSIS OF SEDIMENTARY DATA

1955 ◽  
pp. 558-591
Author(s):  
W. C. KRUMBEIN
Keyword(s):  
Statistical Analysis ◽  
Graphic Presentation

Statistical Tools and Methods Used in Works Published in “Folia Turistica” between 1990-2018

2019 ◽  
Vol 50 (2) ◽  
pp. 6-6
Author(s):  
Stanisław Matusik
Keyword(s):  
Statistical Analysis ◽  
Statistical Methods ◽  
Statistical Tests ◽  
Meta Analysis ◽  
Numerical Data ◽  
Linear Regression Models ◽  
Statistical Tools ◽  
Graphic Presentation ◽  
Scientific Papers ◽  
Tools And Methods

Purpose. The aim of the study was to discuss the use of tools and methods of statistical analysis, as well as forms of graphic presentation of results obtained in articles published in “Folia Turistica” during the last 30 years of its history. Method. The basic method was a review of all articles in terms of the use of statistical methods applied in scientific papers published in “Folia Turistica” in the years 1990 - 2018 (volumes 1- 49). Findings. Out of 486 articles published in 49 volumes of “Folia Turistica” from 1990-2018, 31% used statistical tools and methods. The graphic presentation of analysis of results can be found in 78 articles (including 12 publications with prepared maps), the use of statistical tests in 35 articles, and the use of multi-dimensional statistical methods in 28 articles. An important part of the works are methodological publications. The authors used statistical parametric and non-parametric tests, linear and non-linear regression models, taxonomic and factor analysis and (in individual cases) relatively rare tests, including those related to spatial analyses (I-Moran and Isard coefficient). Research and conclusions limitations. The work concerns the use of statistical tools and methods in scientific articles in “Folia Turistica” issue No. 1-49. In some works, there was no verification of the applicability assumptions of selected statistical tools or justification for their selection, or the purposes of the research were too general. Practical implications. The indicated tools and methods of statistical analysis may be inspiration for authors and readers of scientific papers in the preparation of numerical data and forms of their presentation. Originality. Meta-analysis was prepared on the occasion of the anniversary edition of the 50th issue of “Folia Turistica”. Type of paper. The article is a review.

STATISTICAL TOOLS AND METHODS USED IN WORKS PUBLISHED IN "FOLIA TURISTICA" BETWEEN 1990-2018

2019 ◽  
Vol 50 ◽  
pp. 11-12
Author(s):  
Stanisław Matusik
Keyword(s):  
Statistical Analysis ◽  
Statistical Methods ◽  
Statistical Tests ◽  
Meta Analysis ◽  
Numerical Data ◽  
Linear Regression Models ◽  
Statistical Tools ◽  
Graphic Presentation ◽  
Scientific Papers ◽  
Tools And Methods

Purpose. The aim of the study was to discuss the use of tools and methods of statistical analysis, as well as forms of graphic presentation of results obtained in articles published in "Folia Turistica" during the last 30 years of its history. Method. The basic method was a review of all articles in terms of the use of statistical methods applied in scientific papers published in "Folia Turistica" in the years 1990 - 2018 (volumes 1- 49). Findings. Out of 486 articles published in 49 volumes of "Folia Turistica" from 1990-2018, 31% used statistical tools and methods. The graphic presentation of analysis of results can be found in 78 articles (including 12 publications with prepared maps), the use of statistical tests in 35 articles, and the use of multi-dimensional statistical methods in 28 articles. An important part of the works are methodological publications. The authors used statistical parametric and non-parametric tests, linear and non-linear regression models, taxonomic and factor analysis and (in individual cases) relatively rare tests, including those related to spatial analyses (I-Moran and Isard coefficient). Research and conclusions limitations. The work concerns the use of statistical tools and methods in scientific articles in "Folia Turistica" issue No. 1-49. In some works, there was no verification of the applicability assumptions of selected statistical tools or justification for their selection, or the purposes of the research were too general. Practical implications. The indicated tools and methods of statistical analysis may be inspiration for authors and readers of scientific papers in the preparation of numerical data and forms of their presentation. Originality. Meta-analysis was prepared on the occasion of the anniversary edition of the 50th issue of "Folia Turistica". Type of paper. The article is a review.

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

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.

Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

1992 ◽  
Vol 50 (2) ◽  
pp. 1202-1203
Author(s):  
Gianluigi Botton ◽  
Gilles L'espérance
Keyword(s):  
Statistical Analysis ◽  
Spatial Resolution ◽  
Personal Computer ◽  
Systematic Study ◽  
Present Author ◽  
Chemical Elements ◽  
Detection Limits ◽  
Research Groups ◽  
Quantitative Performance ◽  
Spectrum Imaging

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.

Intraindividual Variability in Development Within and Between Individuals

2001 ◽  
Vol 6 (3) ◽  
pp. 187-193 ◽  
Author(s):  
John R. Nesselroade
Keyword(s):  
Statistical Analysis ◽  
Research Design ◽  
Intraindividual Variability ◽  
Factor Analytic

A focus on the study of development and other kinds of changes in the whole individual has been one of the hallmarks of research by Magnusson and his colleagues. A number of different approaches emphasize this individual focus in their respective ways. This presentation focuses on intraindividual variability stemming from Cattell's P-technique factor analytic proposals, making several refinements to make it more tractable from a research design standpoint and more appropriate from a statistical analysis perspective. The associated methods make it possible to study intraindividual variability both within and between individuals. An empirical example is used to illustrate the procedure.

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