A SEIRD Model for Control of COVID-19: Case of Azerbaijan

Research background: The study uses the key parameters of the spread of the epidemic, dividing the population into several groups S - susceptible, E - exposed, I - infectious, R - recovered, D - dead. It is found that the model behaves differently depending on the R₀ indicator - the average number of people that one infected manages to infect. Measures to suppress the epidemic undertaken by Azerbaijan and their effectiveness have been considered. Purpose of the article: The aim of the article is to model the current dynamics of the disease for future forecasting. The model takes into account all the main parameters of the epidemic: the proportion of severe patients and the mortality rate depending on the age of the patients, the duration of the incubation period and the infectious phase of the disease; incomplete registration of infected people due to the high prevalence of asymptomatic disease and insufficient testing; possible measures to contain and suppress the epidemic and their impact on R₀. Methods: The article uses the linear regression method, which consists in finding estimates of unknown parameters and the formation of a functional relationship between the sickness rate and the factors determining it. Findings & Value added: The constructed model analyzes the growth of patients in the country after removing the restrictive measures taken in early May on the basis of real statistics.

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ANALISIS PENGARUH ECONOMIC VALUE ADDED, RETURN ON ASSETS, RETURN ON EQUITY, DAN EARNING PER SHARE TERHADAP RETURN SAHAM PERUSAHAAN SEKTOR LQ-45 YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2005-2007

Business Management Journal ◽

10.30813/bmj.v7i1.694 ◽

2017 ◽

Vol 7 (1) ◽

Author(s):

Christine Christine

Keyword(s):

Linear Regression ◽

Stock Return ◽

Economic Value ◽

Value Added ◽

Regression Method ◽

Stock Index ◽

Linear Regression Method ◽

Economic Value Added ◽

Return On Equity ◽

Independent Variable

This research attempted to analyze the leverage between EVA, ROA, ROE, EPS with stock return of the 12 sample companies. The 12 sample companies are the companies that included in LQ-45 at the Indonesia Stock Exchange within period of 2005 to 2007. First, this research computes the score of EVA, ROA, ROE, EPS from each of the companies. To analyze the leverage using linear regression method with stock return as a dependent variable and EVA, ROA, ROE, EPS each as a independent variable. And then comparing the results from the linear regression which method has the greater number of R Square. Also using regression method with stock return as a dependent variable and EVA, ROA, ROE, EPS together as independent variable, then analyzing the results from the regression such as multi collinierity, autocorellation, heteroscedasticity, and normality. Key Words: Economic Value Added (EVA), Return on Asset (ROA), Return on Equity (ROE), Earnings pro Share (EPS), LQ-45 Stock Index.

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The impact of the application of the value-added tax on the financial performance of Saudi joint-stock companies: أثر تطبيق ضريبة القيمة المضافة على الأداء المالي للشركات المساهمة السعودية: دراسة تطبيقية

المجلة العربية للعلوم ونشر الأبحاث مجلة العلوم الاقتصادية والإدارية والقانونية ◽

10.26389/ajsrp.a190420 ◽

2020 ◽

Vol 4 (12) ◽

Author(s):

Abdulelah Hussin Alzulfah, Adel Gharib

Keyword(s):

Financial Performance ◽

Value Added ◽

Regression Method ◽

Marketing Strategies ◽

Linear Regression Method ◽

Financial Indicators ◽

Value Added Tax ◽

Standard Analysis ◽

Financial Variables ◽

The Impact

The purpose of this study was to measure the effect of the application of VAT on financial performance in a sample of companies operating in the sectors (retailing of luxury goods, food fragmentation, agriculture and transportation). Linear regression method was used to measure relationship and effect by using STATA in standard analysis and economic models and appreciation. The study found that the financial variables (sales volume, company size, value added tax) accounted for 0.36% of the change in the value of the value added tax. ROA, while 0.64 is the effect of other factors. Based on the results of the study, the study reached several recommendations, the most important of which was to conduct extensive economic studies related to the effect of value added on the indicators of profitability, liquidity and other financial indicators in all Saudi companies so that the results can be generalized. Companies must also develop manufacturing and marketing strategies that mitigate the impact of VAT, so that they can increase sales and maintain their usual profit levels.

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Rainfall Prediction in South-Eastern Part of Bangladesh by Linear Regression Method

International Journal of Emerging Research in Management and Technology ◽

10.23956/ijermt.v6i6.255 ◽

2018 ◽

Vol 6 (6) ◽

pp. 119

Author(s):

Mohammad Shohidul Islam ◽

Sultana Easmin Siddika ◽

S M Injamamul Haque Masum

Keyword(s):

Linear Regression ◽

Correlation Coefficients ◽

Rain Gauge ◽

Regression Method ◽

Linear Regression Method ◽

Climate Data ◽

Rainfall Forecasting ◽

Statistical Parameters ◽

Time Duration ◽

Rainfall Prediction

Rainfall forecasting is very challenging task for the meteorologists. Over the last few decades, several models have been utilized, attempting the successful analysing and forecasting of rainfall. Recorded climate data can play an important role in this regard. Long-time duration of recorded data can be able to provide better advancement of rainfall forecasting. This paper presents the utilization of statistical techniques, particularly linear regression method for modelling the rainfall prediction over Bangladesh. The rainfall data for a period of 11 years was obtained from Bangladesh Meteorological department (BMD), Dhaka i.e. that was surface-based rain gauge rainfall which was acquired from 08 weather stations over Bangladesh for the years of 2001-2011. The monthly and yearly rainfall was determined. In order to assess the accuracy of it some statistical parameters such as average, meridian, correlation coefficients and standard deviation were determined for all stations. The model prediction of rainfall was compared with true rainfall which was collected from rain gauge of different stations and it was found that the model rainfall prediction has given good results.

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ANALISIS PENGARUH AGENCY COST TERHADAP DIVIDEND PAYOUT RATIO (Pada Perusahaan Manufaktur di Bursa Efek Indonesia Tahun 2010-2011)

Jurnal Kajian Akuntansi dan Auditing ◽

10.37301/jkaa.v0i0.6498 ◽

2013 ◽

Author(s):

Raudhatul Hidayah

Keyword(s):

Firm Size ◽

Sampling Method ◽

Dividend Policy ◽

Stock Exchange ◽

Institutional Ownership ◽

Agency Cost ◽

Regression Method ◽

Linear Regression Method ◽

Dividend Payout ◽

Multiple Linear Regression Method

The main purpose of the research was to know partially the influence of institutional ownership, collateralizable assets, debt to total assets and firm size on dividend payout ratio in firms that listed at Indonesia Stock Exchange of 2010–2011 period. The other purpose is to know simultaneously the influence of institutional ownership, collateralizable assets, debt to total assets and firm size on dividend payout ratio in firms that listed at Indonesia Stock Exchange of 2010–2011 period. The population of this research was all the firms that listed at Indonesia Stock Exchange of 2010-2011 period namely, 136 in number. The sample, 27 firms, was taken by the use of purposive sampling method. The technique of data collection used was documentation. The data analysis made use of multiple linear regression method. The results showed that partially institutional ownership had a positive and significant effect to dividend policy. Collateralizable assets, debt to total assets and firm size partially was not significant to dividend policy. Simultaneously institutional ownership, collateralizable assets, debt to total assets and firm size had a positive and significant effect to dividend payout ratio.

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ANALISIS PENGARUH AGENCY COST TERHADAP DIVIDEND PAYOUT RATIO (Pada Perusahaan Manufaktur di Bursa Efek Indonesia Tabun 2010-2011)

Jurnal Kajian Akuntansi dan Auditing ◽

10.37301/jkaa.v0i0.5380 ◽

2013 ◽

Author(s):

Raudhatul Hidayah

Keyword(s):

Firm Size ◽

Sampling Method ◽

Dividend Policy ◽

Stock Exchange ◽

Institutional Ownership ◽

Agency Cost ◽

Regression Method ◽

Linear Regression Method ◽

Dividend Payout ◽

Multiple Linear Regression Method

The main purpose of the research was to know partially the influence of institutional ownership, collateralizable assets, debt to total assets and firm size on dividend payout ratio in firms that listed at Indonesia Stock Exchange of 2010-2011 period. The other purpose is to know simultaneously the influence of institutional ownership, collateralizable assets, debt to total assets and firm size on dividend payout ratio in firms that listed at Indonesia Stock Exchange of 2010-2011 period. The population of this research was all the firms that listed at Indonesia Stock Exchange of 2010-2011 period namely, 136 in number. The sample, 27 firms, was taken by the use of purposive sampling method. The technique of data collection used was documentation. The data analysis made use of multiple linear regression method. The results showed that partially institutional ownership had a positive and significant effect to dividend policy. Collateralizable assets, debt to total assets and firm size partially was not significant to dividend policy. Simultaneously institutional ownership, collateralizable assets, debt to total assets and firm size had a positive and significant effect to dividend payout ratio.

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An alternative model of the vibronic coupling in octahedral complexes

Collection of Czechoslovak Chemical Communications ◽

10.1135/cccc19881134 ◽

1988 ◽

Vol 53 (6) ◽

pp. 1134-1140

Author(s):

Martin Breza ◽

Peter Pelikán

Keyword(s):

Linear Regression ◽

Alternative Model ◽

Potential Surface ◽

Analytical Formula ◽

Coupling Model ◽

Regression Method ◽

Vibronic Coupling ◽

Linear Regression Method ◽

Active Systems ◽

Jahn Teller

It is suggested that for some transition metal hexahalo complexes, the Eg-(a1g + eg) vibronic coupling model is better suited than the classical T2g-(a1g + eg) model. For the former, alternative model, the potential constants in the analytical formula are evaluated from the numerical map of the adiabatic potential surface by using the linear regression method. The numerical values for 29 hexahalo complexes of the 1st row transition metals are obtained by the CNDO/2 method. Some interesting trends of parameters of such Jahn-Teller-active systems are disclosed.

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The Accuracy Assessment of Weapon System Using Grey Linear Regression Method

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.268-270.1809 ◽

2012 ◽

Vol 268-270 ◽

pp. 1809-1813

Author(s):

Dai Yu Zhang ◽

Bao Wei Song ◽

Zhou Quan Zhu

Keyword(s):

Linear Regression ◽

Fuzzy Theory ◽

Accuracy Assessment ◽

Regression Method ◽

Small Sample ◽

Easy Access ◽

Linear Regression Method ◽

Grey Theory ◽

Weapon System ◽

Complex Engineering

The accuracy assessment of weapon system is always a complex engineering. How to make the most of the information given in only a few tests and obtain reasonable estimate is always a problem. Based on the fuzzy theory and grey theory, a grey linear regression method is presented. From the numerical example, we can see that this method provides an easy access to deal with data in small sample case and may have potential use in the analysis of weapon performance.

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Perancangan Aplikasi Prediksi Jumlah Pendaftar Siswa Baru Dengan Metode Regresi Linier (Studi Kasus: SMA RK Deli Murni Bandar Baru)

Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) ◽

10.32672/jnkti.v3i3.2520 ◽

2020 ◽

Vol 3 (3) ◽

pp. 330-334

Author(s):

Novita Ria Lase ◽

Fristi Riandari

Keyword(s):

Linear Regression ◽

Regression Method ◽

Point Of View ◽

Computational Techniques ◽

Linear Regression Method ◽

Simple Linear Regression ◽

Tuition Fees ◽

Use Of Data ◽

New Students ◽

New Student

The problem of the SMA RK Deli Murni Bandar Baru school is to predict how many facilities that need to be provided for new students such as chairs, tables and others. This study discusses the prediction of the number of new student registrants at SMA RK Deli Murni Bandar Baru based on the amount of tuition fees using a simple linear regression method. From a commercial point of view, the use of data mining can be used to handle the explosion of data volumes, using computational techniques can be used to produce information needed which is an asset that can increase the competitiveness of an institution. Prediction is almost the same as classification and estimation, except that in the prediction the value of the results will be in the future. This system can be used to predict the number of applicants in the following year to help the school. The advantage is that this simple linear regression method is very simple so that it is easy to calculate and use. Saves the time needed to solve problems, especially those that are very complex.

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