310/2020 Ministry of Science and Higher Education Ranking 20 pt. in category of journals listed on the ranking published by Ministry of Science and Higher Education. IC Journals Masters List 2019 94,04 pt. (Index Copernicus Value) Internal validation of LRmix Studio biostatistical software

2019 ◽  
Vol 306 ◽  
pp. 71-80
Author(s):  
Michał Boroń ◽  
◽  
Anna Brągoszewska ◽  
Keyword(s):  
Higher Education ◽  
Likelihood Ratio ◽  
Statistical Methods ◽  
Probabilistic Methods ◽  
Statistical Interpretation ◽  
Conditional Probabilities ◽  
Internal Validation ◽  
Dna Profile ◽  
Competing Hypotheses ◽  
Drop Outs

The source of DNA in a stain is never known with full certainty despite the fact that the evidential profile may match a DNA profile of a given person from the population. The statistical methods, including the likelihood ratio (LR) allow estimating the evidential power of the obtained result and assessing the ratio of the odds between competing hypotheses as to the origin of a DNA profile or mixture. Therefore using analyses based on probabilistic methods seems to be logically justified and allows reducing the subjectivism of interpretation of results. Thorough knowledge and understanding of the principles of operation and limitations of the tools used for statistical interpretation of the results of biological traces analyses in forensics is the key stage that precedes the formulation of conclusions. The process of checking the efficiency of LRmix Studio software as well as reliability and repeatability of results involved single profiles and mixtures from two and three persons. 1971 comparisons with referential profiles were performed. The correctness of generated conditional probabilities was determined and the limits, i.e. drop-outs number in the evidential profile whose exceeding might bring about false LR values were identified.

Drop-Outs at the Open University

1980 ◽  
Vol 24 (1) ◽  
pp. 44-55 ◽  
Author(s):  
Desmond J. Keegan
Keyword(s):  
Higher Education ◽  
Distance Education ◽  
Open University ◽  
The Past ◽  
Drop Outs

The year 1979 marks the tenth anniversary of the founding of the Open University. During this period it has come to be recognized as one of the major innovations in higher education in recent years. The Open University set out to attempt to solve the problem of drop-outs which had been a source of criticism for other distance education institutions in the past. To a large extent it has been successful in reducing drop-outs to an acceptable minimum. The importance of its success for other institutions which teach at a distance, both in Australia and overseas, is discussed. Caution is expressed about the lack of unanimity in terminology in studies of “drop-outs” and the danger of using “drop-outs” in comparing one institution with another.

scholarly journals The research on educational environment of institution of higher education involving experts: results and analysis

2020 ◽  
Vol 75 ◽  
pp. 02003
Author(s):  
Mariia Bratko ◽  
Liudmyla Khoruzha
Keyword(s):  
Higher Education ◽  
Monitoring System ◽  
Statistical Methods ◽  
Rating Scale ◽  
Educational Environment ◽  
Diagnostic Tools ◽  
Expert Evaluation ◽  
Teachers And Parents ◽  
Personal Education

Based on the analysis of scientific resources, the role of educational environment in personal building, development and education is actualized. It is stated that educational environment is one of the most essential factors of those processes. The author’s definitions of notions “educational environment”, “educational environment of institution of higher education” are given. The authors advocate the point that educational environment is a system of facilities for personal education. It is emphasized that the environmental approach in education is changing accents in teaching which is aimed at creating and developing educational environment, which has to meet educational needs of a student. The author’s technique of evaluating the state of educational environment of institution of higher education is grounded and approved, the rating scale of this technique is introduced. The technique suggests making expert evaluation of educational environment of institution of higher education according to qualitative (modality) and quantitative (professional breadth, professional saturation, sociocultural intensity, congruence, openness, mobility, informativeness) parameters. The typology of educational environment of institution of higher education is presented (innovative-professional, formal-professional, pragmatically-oriented, formal general cultural educational environment). The analysis and interpretation of the results obtained from the experiment at University College of Borys Grinchenko Kyiv University are given. The evaluation of educational environment of the college has been made by three groups of experts, which have included students, teachers and parents. Despite the fact that evaluation by different groups of experts are similar, it is revealed that it has essential differences, which has been proved with appropriate statistical methods. It is determined that the substantiation of the whole monitoring system of educational environment of institution of higher education and corresponding diagnostic tools has great potential.

scholarly journals LA PROVA STATISTICA NEL PROCESSO PENALE

2013 ◽  
Author(s):  
Vittorio B. Frosini
Keyword(s):  
Statistical Methods ◽  
Final Section ◽  
Subjective Probabilities ◽  
Conditional Probabilities ◽  
Related Information ◽  
Bayes Formula ◽  
General Topic ◽  
Famous Trials

A general topic is faced in the first three sections, i.e. the role of objective and subjective probabilities in trials, the determination of conditional probabilities, and Bayes’ formula (or theorem); the last topic is a fundamental device which allows the computation of probabilities of possible causes, given related information about certain effects. Strictly connected to this argument is the «fallacy of the transposed conditional», which usually implies an unwarranted assumption of guilt. The fifth section is devoted to a discussion of some main features of two famous trials, those of Alfred Dreyfus in France and of Sally Clark in U.K., in which the above fallacy is clearly recognized. The final section presents kinds of trials which require a judgment about groups of people; the statistical methods applied in these cases pertain to the so-called tests of significance.

scholarly journals PENERAPAN ALGORITMA K-NEAREST NEIGHBOUR (K-NN) UNTUK PENENTUAN MAHASISWA BERPOTENSI DROP OUT

2019 ◽  
Vol 5 (3) ◽  
Author(s):  
Ni Luh Ratniasih
Keyword(s):  
Higher Education ◽  
Data Mining ◽  
Undergraduate Students ◽  
Potential Drop ◽  
Drop Out ◽  
Study Program ◽  
Student Data ◽  
The Status ◽  
High Level ◽  
Drop Outs

ABSTRACT<br />Drop out is a situation where students are expelled from college because of several factors, one of which is because the status of lectures is not active beyond 5 semesters for undergraduate students. The high level of success and low failure of students can reflect the quality of education in higher education. The high level of student drop outs can affect the value of Higher Education accreditation so that it will affect the level of public trust. Student data drop out becomes something important to be researched and analyzed, so it can be seen how the characteristics of students who have the potential to drop out as early as possible. The data of ITB STIKOM Bali students is very much so that they can utilize data mining techniques for data classification. In this study the K-NN method was implemented to classify students as potential drop outs and the student data used in this study were students of the 2014 Information Systems study program using 6 attributes, namely gender, age, religion, class status, practical work, and grades GPA. The results showed that the accuracy of the method was 81.50%.<br />Keywords: KNN, Drop Out, ITB STIKOM Bali<br />ABSTRAK<br />Drop out adalah suatu keadaan dimana mahasiswa dikeluarkan dari perguruan tinggi karena beberapa faktor salah satunya karena status perkuliahannya tidak aktif melebihi 5 semester untuk mahasiswa S1. Tingginya tingkat keberhasilan dan rendahnya kegagalan mahasiswa dapat mencerminkan kualitas pendidikan di perguruan tinggi. Tingginya tingkat drop out mahasiswa dapat mempengaruhi nilai akreditasi Perguruan Tinggi sehingga akan mempengaruhi tingkat kepercayaan masyarakat. Data mahasiswa drop out menjadi sesuatu hal yang penting untuk diteliti dan dianalisa, sehingga dapat diketahui bagaimana karakteristik mahasiswa yang berpotensi drop out sedini mungkin. Data mahasiswa ITB STIKOM Bali sangat banyak sehingga dapat memanfaatkan teknik data mining untuk klasifikasi data. Pada penelitian ini diimplementasikan metode K-NN untuk klasifikasi mahasiswa berpotensi drop out dan data mahasiswa yang digunakan dalam penelitian ini adalah mahasiswa program studi Sistem Informasi angkatan 2014 dengan menggunakan 6 atribut yaitu jenis kelamin, umur, agama, status kelas, kerja praktek, dan nilai IPK. Hasil penelitian menunjukkan bahwa tingkat akurasi metode sebesar 81.50%.<br />Kata kunci: KNN, Drop Out, ITB STIKOM Bali

scholarly journals AN ADVANCED STATISTICAL METHOD RESEARCH ON THE EFFECT OF KNOWLEDGE USE LEVELS ON SOME SKILLS

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Abbas Doğan ◽  
Reyhan Sekerci ◽  
Beyhan Güven ◽  
Alper Güven
Keyword(s):  
Higher Education ◽  
Statistical Method ◽  
Statistical Methods ◽  
Sampling Method ◽  
Validity And Reliability ◽  
Knowledge Use ◽  
Knowledge Levels ◽  
Cognitive Knowledge ◽  
Senior Students

The aim of this study is to examine the effect of cognitive knowledge levels of senior students studying in higher education on various variables and some performance-based skills. 265 students selected by criterion sampling method participated in the study. The validity and reliability of the data of the study were determined, collected with two separate inventories, and various advanced statistical methods were used in the analysis of the data. According to some variables, it has been determined that knowledge levels have a significant effect on some performance-based skills. The obtained data were interpreted in the light of the literature and various suggestions were made to researchers and practitioners. <p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0761/a.php" alt="Hit counter" /></p>

scholarly journals Construction Process Duration Predicted by Statistical Method

2021 ◽  
Vol 1203 (3) ◽  
pp. 032135
Author(s):  
S. Smugala ◽  
D. Kubečková
Keyword(s):  
Statistical Methods ◽  
Construction Projects ◽  
Labour Productivity ◽  
Probabilistic Methods ◽  
Main Task ◽  
Construction Process ◽  
Evaluation Of Performance ◽  
Probability Evaluation ◽  
Lower Limits

Abstract Many construction projects today are planned and managed using computer technology. An integral part of the management of these projects is sophisticated software, which includes statistical probabilistic methods. The main task in this area is direct verification of the validity of planned labour productivity values during the construction process according to the recorded average performance values. Using selected statistical methods and analyses, a case study can document this type of undertaking, for example, in a selected masonry process in which the upper and lower limits of performance, i.e. the optimistic and pessimistic bounds, may be calculated with 95% probability. Evaluation of these performance parameters in the construction software used for this study showed a difference in time of 11 days at the end of the process. The figures indicated a 9.6% and 14.3% decrease in labour productivity, respectively, for the optimistic and pessimistic values compared to the construction software ’ s planned values. Repeated evaluation of performance can aid in improving labour productivity and attaining project milestones and subsequent construction deadlines during the construction process. This paper aims to confirm or refute this theoretical balance using probabilistic statistical methods and to emphasize the importance of statistical analysis in the real construction process with the use of the software.

An Alternate Statistical Interpretation of the Strength Snow

1978 ◽  
Vol 20 (83) ◽  
pp. 343-357 ◽  
Author(s):  
H. Gubler
Keyword(s):  
Tensile Strength ◽  
Statistical Methods ◽  
Statistical Models ◽  
Fundamental Unit ◽  
Statistical Interpretation ◽  
Centrifugal Method ◽  
Load Rate ◽  
Basic Features

AbstractThe basic features of the statistical models to describe brittle and ductile strength of snow are outlined and discussed. The concept of the "fundamental unit" is introduced. The models are applied to estimate the development of slab stability during heavy snowfalls and to simulate measurements of the tensile strength of snow using the centrifugal method as a function of the load rate. The models developed in this paper are compared with Sommerfeld’s applications of statistical methods to estimate the strength of snow in the starting zone of a slab avalanche.

scholarly journals Higher Education in Italy: Spatial Accessibility, Participation and Drop-outs

2017 ◽  
Vol 8 (1) ◽  
pp. 38
Author(s):  
Umut Türk
Keyword(s):  
Higher Education ◽  
Probit Model ◽  
Spatial Dimension ◽  
Family Characteristics ◽  
Spatial Accessibility ◽  
Italian Provinces ◽  
Higher Education Participation ◽  
Education Participation ◽  
The Subject ◽  
Drop Outs

Most previous research has focused on individual and family characteristics as predictors of high school leavers’ behaviour towards higher education. However, far too little attention has been paid to the spatial dimension of the subject. This paper aims to narrow this gap by studying whether spatial accessibility of universities from parental residences influences the decisions of higher education participation and dropouts once enrolled to a university in Italy. First a modified version of Hansen gravity index measures the accessibility of HE institutions then a Probit model uses computed access scores across Italian provinces (NUTS3 level regions) to explore likelihood of university attendance and completion. The results show that spatial accessibility is influential when deciding to enrol a university and for successfully completing a degree. 

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