scholarly journals Algorithm for detecting outliers in the model uniformly fuzzy regression

2021 ◽  
Vol 60 (1) ◽  
pp. 30-35
Author(s):  
Igor V. Ponomarev
Keyword(s):  
Mathematical Models ◽  
Regression Models ◽  
Statistical Data ◽  
Fuzzy Regression

When constructing mathematical models based on statistical data, the researcher faces the need to assess the homogeneity of the sample, in particular, the study of data on emissions. Availability in a sample of outliers negatively affects the modeling results and the adequacy of the model as a whole. In this work, an algorithm has been developed that allows one to quantitatively measure the effect of the influence of each observation on the quality of the constructed model. The description of this algorithm is given. Previously the author carried out similar studies for various regression models.

scholarly journals Mathematical models as practical tool for road fatalities forecasts on road network in regions

2018 ◽  
Vol 231 ◽  
pp. 01018 ◽  
Author(s):  
Joanna Wachnicka
Keyword(s):  
Mathematical Models ◽  
Traffic Safety ◽  
Road Safety ◽  
Regression Models ◽  
Road Network ◽  
Statistical Data ◽  
Safety Management ◽  
National Data ◽  
Local Characteristics ◽  
Practical Tool

The analysis of national data on the number of deaths showed that in Poland from 2010 to 2016 it was possible to reduce the number of fatalities by about 22%. The tendency of changes in the number of fatalities, however, is not homogeneous. When data of individual voivodships is analyzed, the situation is different. The largest reduction in fatalities in the analyzed period of time concerned voivodship Świętokrzyskie, where there was more than 45% drop in the number of fatalities. The following voivodships: Łódzkie, Lubelskie and Podkarpackie recorded a decrease in over 30% of fatalities. Unfortunately, at the end of the classification there were four voivodships with a fall below 8%, and what is disturbing voivodship Lubuskie recorded a nearly 5% increase in the number of fatalities. The current traffic safety management at the level of voivodships is often the implementation of central recommendations, which, as results from the analysis of statistical data, are not equally effective in every province. Therefore, models for forecasting changes in road safety are required. Taking into account local characteristics and implemented actions can be used to manage security more effectively at the regional level. This paper presents examples of the use of mathematical models to predict the number of fatalities in individual voivodships depending on the adopted action scenarios. Regression models were developed, taking into account demographic, infrastructural, economic and automotive factors. It turned out that in individual voivodships, various factors affect the level of road safety on roads differently. Therefore, an individual approach to each voivodship is important in order to reliably forecast the level of security.

scholarly journals PENGARUH HARGA DAN KUALITAS PRODUK TERHADAP KEPUTUSAN PEMBELIAN KONSUMEN PADA PENGGUNA SEPEDA MOTOR PULSAR KAWASAKI DIKOTA PADANG

2019 ◽  
Author(s):  
Syafral Hafiz ◽  
Aminar Sutra Dewi
Keyword(s):  
Regression Models ◽  
Sampling Method ◽  
Statistical Data ◽  
Purchase Decision ◽  
Purchasing Decisions ◽  
Statistical Data Analysis ◽  
Independent Variables ◽  
The City ◽  
Variable Quality

This research was based by a decrease in sales of motorcycle Kawasaki Pulsar 200 NS within the first half in 2015-2016. The sales decline is one indication of a decrease in consumer purchasing decisions against the Kawasaki Pulsar 200 NS products. This research aimed to examine the effect of the price and product quality, purchase decision sport motorcycle Kawasaki Pulsar 200 NS. This research used purposive sampling method, using a sample of 100 people from the user population Kawasaki Pulsar 200 NS users in the city of Padang. The analytical method used is multiple linear regression. The results of this research reported the following regression equation: Y = 0,389 + 0,240 X1 + 0,629 X2. Based on statistical data analysis, indicators in this research are valid and reliable. On the classical assumption test, regression models multicoloniarity free, does not occur heteroscedasticity, and the normal distribution. The biggest variable is the variable quality of the product which 0.629. whereas the smallest variable is the variable price which 0.240. Results of the research found that all independent variables are positive and has significant effect on the dependent variable.

A general approach to fuzzy regression models based on different loss functions

2021 ◽  
Vol 25 (2) ◽  
pp. 835-849
Author(s):  
Amir Hamzeh Khammar ◽  
Mohsen Arefi ◽  
Mohammad Ghasem Akbari
Keyword(s):  
Regression Models ◽  
Fuzzy Regression ◽  
Loss Functions

scholarly journals Association between Anxiety, Quality of Life and Academic Performance of the Final-Year-Students in Latvia

2021 ◽  
Vol 18 (11) ◽  
pp. 5784
Author(s):  
Inta Zile ◽  
Ieva Bite ◽  
Indra Krumina ◽  
Valdis Folkmanis ◽  
Lilian Tzivian
Keyword(s):  
Quality Of Life ◽  
Longitudinal Study ◽  
Regression Models ◽  
Linear Regression Models ◽  
Academic Achievements ◽  
School Year ◽  
And Gender ◽  
Type Of School ◽  
Multiple Linear Regression Models

The main objective of this study was to investigate the association between final-year students’ anxiety level and quality of life (QOL) with their academic achievements. A longitudinal study was performed in regular schools and in high-rated gymnasiums at the beginning and at the end of the school year. Multiple linear regression models were built for the association between level of anxiety/QOL with academic achievements. Type of school and gender—but not the level of anxiety—were the main predictors of academic achievements of 287 adolescents (e.g., for mathematics, the effect estimates were: β = −1.71 [95% confidence interval −2.21; −1.21]; β = −0.50 [−0.95; −0.06], β = 0.09 [−0.02; 0.20] for the type of school, gender, and changes in level of anxiety, respectively). To conclude, particular efforts should be made to reduce the level of anxiety in girls, especially those that study in high-rated schools.

Physician Perceptions on Quality of Life and Resuscitation Preferences for Extremely Early Newborns

2021 ◽  
Author(s):  
Danielle LoRe ◽  
Christopher Mattson ◽  
Dalia M. Feltman ◽  
Jessica T. Fry ◽  
Kathleen G. Brennan ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Logistic Regression ◽  
Regression Models ◽  
Mixed Effects ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Comfort Care ◽  
Logistic Regression Models ◽  
Extremely Preterm

Objective The study aimed to explore physician views on whether extremely early newborns will have an acceptable quality of life (QOL), and if these views are associated with physician resuscitation preferences. Study Design We performed a cross-sectional survey of neonatologists and maternal fetal medicine (MFM) attendings, fellows, and residents at four U.S. medical centers exploring physician views on future QOL of extremely early newborns and physician resuscitation preferences. Mixed-effects logistic regression models examined association of perceived QOL and resuscitation preferences when adjusting for specialty, level of training, gender, and experience with ex-premature infants. Results A total of 254 of 544 (47%) physicians were responded. A minority of physicians had interacted with surviving extremely early newborns when they were ≥3 years old (23% of physicians in pediatrics/neonatology and 6% in obstetrics/MFM). The majority of physicians did not believe an extremely early newborn would have an acceptable QOL at the earliest gestational ages (11% at 22 and 23% at 23 weeks). The majority of physicians (73%) believed that having an extremely preterm infant would have negative effects on the family's QOL. Mixed-effects logistic regression models (odds ratio [OR], 95% confidence interval [CI]) revealed that physicians who believed infants would have an acceptable QOL were less likely to offer comfort care only at 22 (OR: 0.19, 95% CI: 0.05–0.65, p < 0.01) and 23 weeks (OR: 0.24, 95% CI: 0.07–0.78, p < 0.02). They were also more likely to offer active treatment only at 24 weeks (OR: 9.66, 95% CI: 2.56–38.87, p < 0.01) and 25 weeks (OR: 19.51, 95% CI: 3.33–126.72, p < 0.01). Conclusion Physician views of extremely early newborns' future QOL correlated with self-reported resuscitation preferences. Residents and obstetric physicians reported more pessimistic views on QOL. Key Points

Problems of Iatrogenic Crimes Qualification

2021 ◽  
Author(s):  
K.V. Pitulko ◽  
Keyword(s):  
Causes Of Death ◽  
Statistical Data ◽  
Criminal Responsibility ◽  
Patient Treatment ◽  
Criminal Prosecution ◽  
Medical Assistance ◽  
Judicial Practice ◽  
Quality Of Medical Care ◽  
The Difference

The article reveals the features of the distinction between criminal and non-criminal circumstances, leading to a patient treatment unfavorable outcome. The aim of the research undertaken is to identify the nature and degree of social danger of professional negligence in the diagnosis and treatment of diseases. The article analyzes statistical data characterizing the dynamics of bringing doctors and other medical workers to criminal responsibility for committing crimes that caused harm to the life and health of patients. The organic connection of iatrogenic crimes with defects in the quality of medical care and improper performance of professional duties by medical workers is argued. The author reveals the difference between the causes of death and deterioration in the health of persons seeking medical assistance, and analyzes the practice of termination of medical workers criminal prosecution on rehabilitating grounds. On the basis of materials of modern judicial practice, it is proved that there is no need to separate the category «iatrogenic crimes» in the criminal law. A differentiated approach to qualification of adverse treatment outcomes seems promising. The author proposes detailing the legal liability of medical workers and medical organizations, depending on the criminal or non-criminal nature of the circumstances of causing harm to the life and health of the patient.

Modernization of the software for measuring the quality of network traffic in the corporate network of the enterprise

2021 ◽  
pp. 104-113
Author(s):  
Е.Е. Истратова ◽  
Е.Н. Антонянц ◽  
А.О. Амельченко
Keyword(s):  
Network Traffic ◽  
Statistical Data ◽  
Client Server ◽  
Network Connection ◽  
Software Product ◽  
Corporate Network ◽  
Server Application

В статье представлены результаты модернизации ранее разработанного клиент-серверного приложения для исследования характеристик корпоративной сети. Результаты проведенных исследований позволили сделать вывод о том, что усовершенствованный программный продукт можно применять для сбора статистических данных о характеристиках сетевого подключения при передаче информации в корпоративной сети компании. The article presents the results of the modernization of a previously developed client-server application for the study of the characteristics of the corporate network. The results of the conducted research allowed us to conclude that the improved software product can be used to collect statistical data on the characteristics of the network connection when transmitting information in the corporate network of the company.

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