scholarly journals Statistical Analysis of Measurements in Exact and Inexact Sciences: An Open Problem

2021 ◽  
Author(s):  
Lia Queiroz do Amaral
Keyword(s):  
Statistical Analysis ◽  
Open Problem

Bridging of the digital economy space limits

2020 ◽  
pp. 89-106 ◽  
Author(s):  
Т.Ф. Шарифьянов
Keyword(s):  
Exchange Rate ◽  
Comparative Analysis ◽  
Statistical Analysis ◽  
Russian Federation ◽  
Open Problem ◽  
Digital Economy ◽  
Institutional Approach ◽  
Government Documents ◽  
The Subject ◽  
The Russian Federation

Объектом статьи выступает региональная инфраструктура цифровой экономики, а предметом - институциональные механизмы распространения инфраструктуры от карскаса расселения к малым населенным пунктам на периферийных территориях региона. Выполнен анализ объемов, структуры и приоритетов финансирования национального проекта «Цифровая экономика». Сделан прогноз финансирования НИОКР в РФ в период 2019-2024 на основе правительственных документов, прогнозов ВВП и курса рубля. Выполнен сравнительный анализ достаточности финансирования НИОКР в РФ. Определена проблема, с которой столкнутся регионы России при переходе к цифровой экономике - дефицит инфраструктуры цифровой экономики и выявлены пространственные характеристики этого дефицита. Сформулированы понятия объективного (структурного) и субъективного (стратегического) барьеров на пути инвестиций в региональную инфраструктуру. На основе статистического анализа, разработаны методы решения вскрытой проблемы реиональными силами. Сформулированы региональные задачи снижения субъективных барьеров на пути развития инфраструктуры и доказана возможность их решения. Regional infrastructure of the digital economy is the object of this paper. And the subject is the institutional mechanisms for the infrastructure distribution from the urban lattice to the small rural settlement in the districts peripheral territories. Authors made analysis of the volumes, structure and priorities of the national project "Digital Economy" financing. A forecast is made for financing R&D in the Russian Federation in the period 2019-2024 based on government documents, forecasts of GDP and the ruble exchange rate. A comparative analysis of the adequacy of R&D funding in the Russian Federation is carried out. The problem that Russian districts will face in the transformation to the digital economy is identified - a deficit in the infrastructure of the digital economy and the spatial characteristics of this deficit are revealed. The author formulated the concepts of objective (structural) and subjective (strategic) barriers to investment in regional infrastructure. Methods for solving a district level open problem based on statistical analysis are proposed. Based on the institutional approach, two tasks have been set for the district authorities and the possibility of solving them has been proved.

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.

Review of Basic FORTRAN for Statistical Analysis.

1967 ◽  
Vol 12 (9) ◽  
pp. 467-467
Author(s):  
JOHN C. LOEHLIN
Keyword(s):  
Statistical Analysis
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