Identification of executable files on the basis of statistical criteria

In connection with the spectrophotometric study of population-type characteristics of various kinds of stars, a statistical analysis of kinematical and distribution parameters of the same stars is performed at the Toruń Observatory. This has a twofold purpose: first, to provide a practical guide in selecting stars for observing programmes, second, to contribute to the understanding of relations existing between the physical and chemical properties of stars and their kinematics and distribution in the Galaxy.

Download Full-text

Expert survey and analysis of the results

Industrial laboratory Diagnostics of materials ◽

10.26896/1028-6861-2019-85-7-73-82 ◽

2019 ◽

Vol 85 (7) ◽

pp. 73-82

Author(s):

Vladimir O. Tolcheev

Keyword(s):

Data Analysis ◽

Research University ◽

Statistical Processing ◽

Educational Process ◽

Expert Survey ◽

Educational Modules ◽

Training Modules ◽

Engineering Institute ◽

Good Agreement ◽

Statistical Criteria

The issues of organizing an expert survey and carrying out statistical processing and analysis of the results are considered. The experts are the fifth-year students undergoing training at the Department of Management and Informatics «Moscow Power Engineering Institute» of the National Research University. The goal of the survey is revealing the disciplines that are most useful for employment in their specialty. We discuss the special features of the survey and a concept of «work in the specialty», with due regard for statistical reliability of the results. Data of written questionnaire gained in 2018 were processed and analyzed using cluster analysis (construction of dendrograms and application of the K-means method) and non-parametric statistical criteria (Friedman and Mann – Whitney – Wilcoxon). Data processing is implemented in the program STATISTICA. The analysis is carried out to reveal significant differences between the educational courses and assess the degree of consistency of the respondents to divide them into clusters that unite the students with similar judgments. Data analysis revealed that experts’ estimates in 2018 are in fairly good agreement with the estimates of previous studies; among the respondents there are three coalitions corresponding to the training modules «Software», «Management Theory», «Data Analysis»; the overall consistency of students in the two groups is very low (and, on the contrary, high in the identified clusters); grades are homogeneous and do not depend on training groups (and employment – unemployment of the respondents). The obtained results allow us to address a number of important questions regarding the ways of improving the educational process, e.g., to optimize yearly course hours for different educational modules.

Download Full-text

Some Simple Thoughts on Model Building for Developing Countries

The Pakistan Development Review ◽

10.30541/v22i2pp.63-71 ◽

1983 ◽

Vol 22 (2) ◽

pp. 63-71 ◽

Cited By ~ 1

Author(s):

Henk C. Bos

Keyword(s):

Developing Countries ◽

Empirical Research ◽

Model Building ◽

Past Experience ◽

Policy Advice ◽

Production Functions ◽

Policy Makers ◽

Statistical Criteria ◽

Simple Models

The revival of interest in using models for developing countries for planning and policy advice makes it desirable to draw lessons from past experience. Simple models, focussed on specific issues, are to be preferred to large and comprehensive models. More empirical research is needed on supply and production functions for developing countries. Not statistical criteria but developmental considerations must determine the conclusions to be drawn from models. More explicit explanations of assumptions and modesty in presenting results of modelling work to policy makers are desirable.

Download Full-text

Presenting a Semi-Automatic, Statistically-Based Approach to Assess the Sharpness Level of Optical Images from Natural Targets via the Edge Method. Case Study: The Landsat 8 OLI–L1T Data

Remote Sensing ◽

10.3390/rs13081593 ◽

2021 ◽

Vol 13 (8) ◽

pp. 1593

Author(s):

Luca Cenci ◽

Valerio Pampanoni ◽

Giovanni Laneve ◽

Carla Santella ◽

Valentina Boccia

Keyword(s):

Landsat 8 ◽

Image Sharpness ◽

Optical Images ◽

Data Quality Assessment ◽

Relevant Role ◽

Edge Method ◽

Selection Of ◽

Statistical Criteria

Developing reliable methodologies of data quality assessment is of paramount importance for maximizing the exploitation of Earth observation (EO) products. Among the different factors influencing EO optical image quality, sharpness has a relevant role. When implementing on-orbit approaches of sharpness assessment, such as the edge method, a crucial step that strongly affects the final results is the selection of suitable edges to use for the analysis. Within this context, this paper aims at proposing a semi-automatic, statistically-based edge method (SaSbEM) that exploits edges extracted from natural targets easily and largely available on Earth: agricultural fields. For each image that is analyzed, SaSbEM detects numerous suitable edges (e.g., dozens-hundreds) characterized by specific geometrical and statistical criteria. This guarantees the repeatability and reliability of the analysis. Then, it implements a standard edge method to assess the sharpness level of each edge. Finally, it performs a statistical analysis of the results to have a robust characterization of the image sharpness level and its uncertainty. The method was validated by using Landsat 8 L1T products. Results proved that: SaSbEM is capable of performing a reliable and repeatable sharpness assessment; Landsat 8 L1T data are characterized by very good sharpness performance.

Download Full-text

Defining and Characterising Clusters in Palaeolithic Sites: a Review of Methods and Constraints

Journal of Archaeological Method and Theory ◽

10.1007/s10816-021-09524-8 ◽

2021 ◽

Author(s):

Laura Sánchez-Romero ◽

Alfonso Benito-Calvo ◽

Joseba Rios-Garaizar

Keyword(s):

Distribution Patterns ◽

Horizontal Distribution ◽

Spatial Studies ◽

Innovative Methods ◽

General Terms ◽

Fabric Analysis ◽

Gis Tools ◽

Definition Of ◽

Intentional Activities ◽

Statistical Criteria

AbstractSpatial analysis studies in Palaeolithic archaeology arise as indispensable research tools for understanding archaeopalaeontological sites. In general terms, spatial studies have been specialised in the description of the distribution of materials and in the definition of accumulation areas, with the aim of distinguishing intentional activities or studying postdepositional processes. In recent decades, the development of GIS tools has enabled huge strides forward in the field of spatial archaeology research, such as spatial inferential statistics. These tools are particularly useful in the identification and location of clustering from statistical criteria, facilitating the subsequent analysis of accumulations through other archaeological, taphonomic and spatial techniques, such as fabric analysis or directional distribution. The cluster analysis, and its contextualisation considering all the archaeological and stratigraphical variables, allows the inference of some of the processes and factors that could have taken part in the accumulation of materials, as well as assessing how this affected the composition and preservation of the archaeological assemblage. The present article reviews the more traditional and innovative methods for studying horizontal distribution patterns and the objective definition of clusters, highlighting the parameters, uses and limitations of these techniques. We present an application of these methods to different Palaeolithic sites, going through different scenarios, such as location (open-air vs. cave), context, scale (large vs. small area), excavation methodology and spatial record methods.

Download Full-text

Effectiveness of Treatment for Dissociative Identity Disorder

Psychological Reports ◽

10.2466/pr0.1998.83.2.483 ◽

1998 ◽

Vol 83 (2) ◽

pp. 483-490 ◽

Cited By ~ 4

Author(s):

Russell A. Powell ◽

Andrew J. Howell

Keyword(s):

Dissociative Identity Disorder ◽

Initial Assessment ◽

Systematic Research ◽

Millon Clinical Multiaxial Inventory ◽

Effect Of Treatment ◽

Severe Pathology ◽

Differential Responsiveness ◽

Rule Out ◽

Statistical Criteria

In a recent study by Ellason and Ross, patients with Dissociative Identity Disorder reported a decrease in symptoms on the Millon Clinical Multiaxial Inventory–II over a 2-yr. follow-up period. Patients judged to have achieved integration of their personalities rated themselves as more substantially improved on the Millon–II than did patients judged not to have achieved integration. Ellason and Ross suggested that this improvement reflected the influence of treatment; however, for several reasons, their findings are open to alternative interpretations. First, in the absence of proper control conditions, one cannot rule out the contribution of other factors to the over-all improvement of patients such as regression of symptoms toward the mean following the initial assessment. Second, patients' self-reported improvement was less substantial when data were reanalyzed using more appropriate statistical criteria. Third, the greater improvement observed among integrated patients relative to nonintegrated patients may reflect influences other than differential responsiveness to treatment, such as less severe pathology prior to treatment. More systematic research is needed to clarify the effect of treatment on Dissociative Identity Disorder.

Download Full-text

Assessing the quality of budget risk management of the subjects of the Russian Federation

Finance and Credit ◽

10.24891/fc.27.11.2521 ◽

2021 ◽

Vol 27 (11) ◽

pp. 2521-2547

Author(s):

Alena Yu. SUKHOVA

Keyword(s):

Risk Management ◽

Russian Federation ◽

Regional Finance ◽

Finance Management ◽

Regional Budget ◽

Data Source ◽

The Russian Federation ◽

Ministry Of Finance ◽

Statistical Criteria

Subject. The article explores indicators for budget risk management in the subjects of the Russian Federation. Objectives. The aim is to develop a system of indicators to assess the quality of budget risk management, to create a methodology for quality management assessment and test it on the case of 85 subjects, to build a rating for the quality of budget risk management in 2020. Methods. The study rests on creating a model for assessing the quality of budget risk management on the basis of 18 mathematical and statistical criteria and their testing on budget data from 85 federal subjects for 2020, and the deductive approach. Results. I formulated and justified indicators of analysis that demonstrate the level of readiness of the budget of Russian subjects to accept budget risks. The proposed indicators are logically structured into groups and detailed by data source for evaluation. The system of indicators is incorporated into the existing methodology created by the Ministry of Finance of the Russian Federation. The results of the analysis are presented as a rating of subjects of the Russian Federation based on the aggregate assessment of the quality of budget risk management. Conclusions. The offered methodology may serve as a supplement to the methodology for assessing the quality of regional finance management created by the Ministry of Finance of the Russian Federation. It may also help evaluate decisions on proactive risk management and mitigation of consequences of risk events in regional budget utilization.

Download Full-text

The use of multifunctional statistical criteria in the development of technological aspects of self-design of students’ educational and professional activities

Tambov University Review Series Humanities ◽

10.20310/1810-0201-2020-25-189-23-30 ◽

2020 ◽

pp. 23-30

Author(s):

Tatyana A. Erina ◽

Natalya N. Motkina

Keyword(s):

Statistical Significance ◽

Statistical Processing ◽

Automated System ◽

Statistical Hypothesis ◽

Self Management ◽

Professional Activities ◽

Selection Of ◽

Angular Transformation ◽

Statistical Criteria

Researchers in the humanities almost always have to deal with the problem of statistical processing of results and their interpretation. This is a rather laborious and painstaking work, which can be greatly simplified through the use of multifunctional statistical criteria. Within the framework of the study related to the problem of self-design of educational and professional ac-tivities of students, the analysis of the effectiveness of the introduction of technological elements using multifunctional criteria was carried out: φ* criterion – Fisher’s angular transformation and binomial criterion m. The statistical significance of the results of the introduction at a certain stage of the technology of the workshop is revealed, which makes it possible to study and apply the ele-ments of self-management in the educational and professional activities of students. For promising purposes, it is proposed to create an automated system that implements the selection of the appropriate criterion for the problem to be solved and the verification of the statistical hypothesis put forward by the researcher.

Download Full-text