scholarly journals Two-scale Phenomenological and Statistical Analysis of the COVID-19 Pandemic

2020 ◽  
Author(s):  
Vassilis Pontikis ◽  
Theodoros Karakostas ◽  
Philomela Komninou
Keyword(s):  
Statistical Analysis ◽  
Time Evolution ◽  
Confidence Intervals ◽  
Statistical Data ◽  
Total Duration ◽  
Phenomenological Analysis ◽  
Health Policies ◽  
Gaussian Functions ◽  
Master Plots

Abstract In this work, the daily reported new infection cases and deaths globally due to COVID-19 are approximated by Gaussian functions of the time elapsed since the beginning of the pandemic. This approximation is shown to consistently designate the time evolution of daily rates of new cases and the total duration of the epidemic in any given region or country. At the pandemic scale, this phenomenological analysis is applied for condensing statistical data of the epidemic evolution in twenty-four countries into two “universal master plots” involving in total five adjustable parameters per country. The analysis reveals intrinsic features of the pandemic and local specificities of the epidemic as well, helps in anticipating the epidemic peak date in each country and yields confidence intervals for the average numbers of incidences. Finally, the phenomenology facilitates comparisons of the epidemic evolution in different countries and evaluations of the effectiveness of related health policies.

scholarly journals PENERAPAN METODE BOOTSTRAP RESIDUAL DALAM MENGATASI BIAS PADA PENDUGA PARAMETER ANALISIS REGRESI

2014 ◽  
Vol 3 (4) ◽  
pp. 130
Author(s):  
NI MADE METTA ASTARI ◽  
NI LUH PUTU SUCIPTAWATI ◽  
I KOMANG GDE SUKARSA
Keyword(s):  
Regression Analysis ◽  
Statistical Analysis ◽  
Confidence Intervals ◽  
Bootstrap Method ◽  
Least Square ◽  
Prediction Tool ◽  
Analysis Method ◽  
Ordinary Least Square ◽  
Independent Variable ◽  
Parameter Estimators

Statistical analysis which aims to analyze a linear relationship between the independent variable and the dependent variable is known as regression analysis. To estimate parameters in a regression analysis method commonly used is the Ordinary Least Square (OLS). But the assumption is often violated in the OLS, the assumption of normality due to one outlier. As a result of the presence of outliers is parameter estimators produced by the OLS will be biased. Bootstrap Residual is a bootstrap method that is applied to the residual resampling process. The results showed that the residual bootstrap method is only able to overcome the bias on the number of outliers 5% with 99% confidence intervals. The resulting parameters estimators approach the residual bootstrap values ??OLS initial allegations were also able to show that the bootstrap is an accurate prediction tool.

scholarly journals Statistical analysis of cytogenetic data

2021 ◽  
Vol 28 ◽  
pp. 146-150
Author(s):  
L. A. Atramentova
Keyword(s):  
Data Structure ◽  
Statistical Analysis ◽  
Confidence Interval ◽  
Statistical Method ◽  
Confidence Intervals ◽  
Study Design ◽  
Cytogenetic Study ◽  
Data Set ◽  
Statistical Errors ◽  
Cytogenetic Data

Using the data obtained in a cytogenetic study as an example, we consider the typical errors that are made when performing statistical analysis. Widespread but flawed statistical analysis inevitably produces biased results and increases the likelihood of incorrect scientific conclusions. Errors occur due to not taking into account the study design and the structure of the analyzed data. The article shows how the numerical imbalance of the data set leads to a bias in the result. Using a dataset as an example, it explains how to balance the complex. It shows the advantage of presenting sample indicators with confidence intervals instead of statistical errors. Attention is drawn to the need to take into account the size of the analyzed shares when choosing a statistical method. It shows how the same data set can be analyzed in different ways depending on the purpose of the study. The algorithm of correct statistical analysis and the form of the tabular presentation of the results are described. Keywords: data structure, numerically unbalanced complex, confidence interval.

scholarly journals Monitoring High Throughput Distributed System using Statistical Data Analysis

2020 ◽  
Vol 8 (6) ◽  
pp. 4590-4596
Keyword(s):  
Time Series ◽  
Statistical Analysis ◽  
Distributed System ◽  
High Throughput ◽  
Statistical Data ◽  
Time Interval ◽  
Statistical Data Analysis ◽  
Cloud Data ◽  
Data Pipeline ◽  
Cloud Data Centers

Monitoring high throughput distributed system by using a statistical analysis of the “historical time series” of an Instrumentation Data”. “The Pipeline has been made to process the information which can be otherwise called data pipeline, is a lot of information handling components associated in arrangement, where yield of one component is the contribution of the next one”. Several codes are giving different visualization for statistical analysis of data. “Network and Cloud Data Centers” generate a lot of data every second; this data can be gathered as period arrangement information. A timeseries is a grouping taken at progressive similarly dispersed focuses in time that implies at a particular time interval to a particular time, the estimations of explicit information that was taken is known as information of a time-series. “This time-series information can be gathered utilizing framework measurements like CPU, Memory, and Disk utilization”. The TICK and ELK Stack is abbreviation for a foundation of open source instruments worked “to make collection, storage, graphing, and alerting” on time arrangement data incredibly easy. As an information collector, using Telegraf, “for storing and analyzing” information and the time-series database InfluxDB and Elasticsearch. For plotting and visualizing used Grafana and Kibana. Watchman is utilized for alert refinement and once system metrics usage exceeds the specified threshold, the alert is generated and sends it to the Telegram.

ANALYSIS OF MEASURES OF PROPERTY SUPPORT FOR SMALL AND MEDIUM-SIZED BUSINESSES IN THE REGION

2021 ◽  
pp. 63-73
Author(s):  
Aleksey RUCHKIN ◽  
Olga RUSCHITSKAYA ◽  
Tatiana KRUZHKOVA ◽  
Nisha OJHA
Keyword(s):  
Statistical Analysis ◽  
Statistical Data ◽  
Federal District ◽  
The State ◽  
Purchasing Power ◽  
Sociological Research ◽  
Start Up ◽  
Development Institutions ◽  
Direct Payments ◽  
Financial Losses

Under the conditions of the pandemic, the issue of support for small and medium-sized enterprises becomes especially relevant, since they are the ones that suffer financial losses more than other enterprises in the period of restrictions and reduction of the purchasing power of citizens. Most often tax measures of support and direct payments from the state are considered, in our article we will talk about property measures that have a significant impact on the stabilization and development for existing entities and sustainable formation for start-up entrepreneurs. The article uses both statistical analysis, including within the boundaries of the federal district, and sociological research that complements and specifies statistical data. As a result, the main problems of providing measures of property support were identified, which will allow the authorities and development institutions to adjust their policies and instruments.

Metal Adsorption in Biomass: Fundamentals and Application

2020 ◽  
Vol 25 ◽  
pp. 154-167
Author(s):  
M.F.C. Silva Canuto ◽  
J. Morais Ferreira ◽  
S.W.C. Araújo Silva ◽  
Líbia de Sousa Conrado ◽  
Odelsia Leonor Sánchez Alsina ◽  
...  
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Statistical Analysis ◽  
Confidence Intervals ◽  
Flow Rate ◽  
Fixed Bed ◽  
Metal Adsorption ◽  
Metallic Ions ◽  
Initial Concentration ◽  
System Temperature ◽  
Superficial Area

In this chapter the adsorption fundamentals using biomass as adsorbents in the removal of metallic ions are presented. The research as shows the importance of many factors that affects the adsorption, such as the biomass superficial area, system temperature, pH, initial concentration of the metal, biomass amount and status (living or dead). The study was directed at the approach of two applications using Saccharomyces cerevisiae yeast in the adsorption of Cd2+ metal ions. In the first application it is discussed the influence of the pH of the medium and the biomass status (living or dead) in the adsorption of Cd2+, in batch. In the second application, it was studied the adsorption of Cd2+metallic ions through the Saccharomyces cerevisiae yeast immobilized in chitosan, in fixed bed, where the influence inlet mass flow rate and the initial effluent concentration on the adsorption capacity and percentage of Cd2+ ions removal are evaluated.The studies realized are supported by statistical analysis with 95% confidence intervals.

Statistical analysis of 307,601 tumors and other lesions of the foot

1995 ◽  
Vol 85 (11) ◽  
pp. 699-703 ◽  
Author(s):  
SJ Berlin
Keyword(s):  
Statistical Analysis ◽  
Laboratory Study ◽  
Statistical Data ◽  
Changing Patterns ◽  
Office Procedures

This laboratory study is limited to lesions submitted from office procedures and makes no claims or comparison regarding statistical data from hospitals, where most malignancies are excised. This study is ongoing, and will be updated regularly to observe trends and alert practitioners to changing patterns of incidence.

Statistical Analysis of Real Income of the Population of the Russian Federation

2020 ◽  
Vol 8 (3) ◽  
pp. 59-64
Author(s):  
I. Darymov ◽  
Aleksandr Kalyanov
Keyword(s):  
Statistical Analysis ◽  
Russian Federation ◽  
Statistical Data ◽  
Oil Prices ◽  
Real Income ◽  
Federal State ◽  
The World ◽  
Global Problems ◽  
The Russian Federation ◽  
Difficult Times

The article raises such an acute problem as the disproportionate change in population growth with rising inflation. The relevance of this problem cannot raise any questions. Sometimes people ask the question: “Why is there not enough money for food, although, relatively speaking, it was enough before?” The economy of our country is going through difficult times. The fall in world oil prices has an impact on the Russian ruble, which is especially important in connection with the latest developments in the world. These and other questions are devoted to issues related to the growth of the population of the Russian Federation, and the opportunity to buy them. The research base is the website of the Federal State Statistics Service, which should use personal observations and knowledge. In preparing the articles, methods of correlation analysis using group statistical data were applied and the regression model was built on their basis. The authors proposed ideas for solving global problems in the entire economic system of the Russian Federation.

scholarly journals The Socio-Cultural Perception of Death in Turkish Society Recorded in Lament Epics (1955–1975)

2014 ◽  
Vol 70 (2) ◽  
pp. 209-223
Author(s):  
M. Cumhur İzgi̇ ◽  
Tarana Abdulla ◽  
Mustafa Çoban ◽  
Ebru Onay ◽  
E. Elif Vatanaoglu Lutz
Keyword(s):  
Content Analysis ◽  
Statistical Analysis ◽  
Statistical Data ◽  
Young Age ◽  
Road Accidents ◽  
Cultural Perception ◽  
Turkish People ◽  
Full Picture ◽  
Opposite Sex ◽  
Turkish Society

This study explores the socio-cultural perception of death among Turkish people. For this reason, 210 published lament epics written by Turkish folk singers across all of Turkey concerning deaths between 1955 and 1975 were selected for analysis. These epics were published on single pages and were sold. The statistical analysis based on detailed content analysis was done at the univariate, bivariate, and multivariate levels. The results of the study provide a full picture of perception of cases of death in Turkish society. These results show Turkish society is especially sensitive to cases of death at young age and to the murdered. Further, a clear perception of the working of fate is encountered in deaths resulting from disaster and accidents; but the desire for vengeance is recorded in those laments concerning martyrs and the murdered. The statistical data show that most commonly cited reasons for death after road accidents, were a consequence of relationships with the opposite sex and from a sense of honor.

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