РЕАЛІЗАЦІЯ МЕТОДИКИ ПОБУДОВИ МОДЕЛЕЙ НЕЛІНІЙНИХ НЕСТАЦІОНАРНИХ ПРОЦЕСІВ В ЕКОНОМІЦІ ТА ФІНАНСАХ ТА ЗАСТОСУВАННЯ МЕРЕЖІ БАЙЄСА ДЛЯ ПОКРАЩЕННЯ РІВНЯ АДЕКВАТНОСТІ МОДЕЛЕЙ ТА ЯКОСТІ ОЦІНОК КОРОТКОСТРОКОВИХ ПРОГНОЗІВ

In this article was represented implementation of methodology of nonlinear non stationary processes modeling in economy and finances which based on different conceptions of system analysis, regression analysis and applying of bayesian network to improve estimation of short term forecasts.

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The causes of poverty in Russia

Financial Analytics Science and Experience ◽

10.24891/fa.13.1.21 ◽

2020 ◽

Vol 13 (1) ◽

pp. 21-36

Author(s):

I.S. Ivanchenko

Keyword(s):

Regression Analysis ◽

Regional Development ◽

Financial Market ◽

Russian Federation ◽

Short Term ◽

Financial Situation ◽

Macroeconomic Variables ◽

Development Plans ◽

The Russian Federation ◽

Short Term Forecasting

Subject. This article analyzes the changes in poverty of the population of the Russian Federation. Objectives. The article aims to identify macroeconomic variables that will have the most effective impact on reducing poverty in Russia. Methods. For the study, I used the methods of logical, comparative, and statistical analyses. Results. The article presents a list of macroeconomic variables that, according to Western scholars, can influence the incomes of the poorest stratum of society and the number of unemployed in the country. The regression analysis based on the selected variables reveals those ones that have a statistically significant impact on the financial situation of the Russian poor. Relevance. The results obtained can be used by the financial market mega-regulator to make anti-poverty decisions. In addition, the models built can be useful to the executive authorities at various levels for short-term forecasting of the number of unemployed and their income in drawing up regional development plans for the areas.

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IMPLANTS AND INJECTIONS ARE FAVORITE CONTRACEPTION TOOLS IN SUMATERA SELATAN

Jurnal Kesehatan Komunitas ◽

10.25311/keskom.vol5.iss3.383 ◽

2019 ◽

Vol 5 (3) ◽

pp. 147-150

Author(s):

Mukni Mukni

Keyword(s):

Regression Analysis ◽

Family Planning ◽

Linear Regression ◽

Linear Regression Analysis ◽

Simple Linear Regression ◽

Contraceptive Methods ◽

Poverty Level ◽

Short Term ◽

Simple Linear Regression Analysis

Background: The choice of contraception by family planning acceptors greatly determines the success rate of the family planning program, because not all contraceptives are suitable for someone. This study aims to determine what types of contraceptives chosen by family planning acceptors and whether there is a relationship between the selection of contraceptives there is a relationship with the poverty level in the District / City in South Sumatra in 2015, 2016 and 2017. The source of data obtained from the Provincial BPS South Sumatra. Methodology: This study uses a descriptive approach with a simple linear regression analysis method. Results: The results of the analysis were grouped into two, first long-term contraception method KB IUD, MOW, MOP and implants, both short-term contraceptive methods namely injection KB, pill and condom from 17 regencies / cities in South Sumatra. Conclusion: contraception devices that are mostly chosen by long-term contraceptive methods are implants (10000-35000) or 10-20 times larger than other contraceptives. Short-term contraceptive methods are injections, (7700 - 76000) or 5-7 times greater than other contraceptives. From the simple linear regression analysis it turns out that the relationship of long-term contraceptive selection by acceptors with the poverty level is R² = 0.7382 and the short-term method R² = 0.9223. District / City Governments in South Sumatra should provide alokon (contraceptive devices and drugs) in accordance with the type and amount in the field to be on target

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Effect of Default on Profitability in Kenyan Listed Companies

International Journal of Finance & Banking Studies (2147-4486) ◽

10.20525/ijfbs.v9i4.876 ◽

2020 ◽

Vol 9 (4) ◽

pp. 01-10

Author(s):

James N Ndegwa

Keyword(s):

Regression Analysis ◽

Financial Institutions ◽

Listed Companies ◽

Short Term ◽

Listed Firms ◽

Short Notice ◽

Panel Data Regression ◽

Data Regression ◽

Firm Profitability ◽

The Relationship

The study investigated the whether the default measures of liquidity and solvency are associated and whether default measures are related to firm profitability. A total of 41 firms were selected to be in the study sample out of 46 non-financial listed firms in the Nairobi Securities Exchange during years 2013 to 2017 and panel data regression analysis was employed. The findings revealed that liquidity and solvency are significantly and negatively associated while the default measures lacked a significant relationship with profitability in Kenyan listed companies. The findings implied that there is no need for firms to focus too much on the relationship between default and profitability including invest heavily in liquidity in order to meet short term obligations as nowadays it is possible for firms to either convert non-cash assets quickly or borrow on short notice from financial institutions in case of an urgent need to meet liquidity shortages. These findings are consistent with the shitability theory.

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PENGARUH UTANG TERHADAP PROFITABILITAS PADA PERUSAHAAN FOOD & BEVERAGE YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2011-2015

Jurnal Riset Akuntansi dan Keuangan ◽

10.17509/jrak.v5i1.6729 ◽

2017 ◽

Vol 5 (1) ◽

Author(s):

Maizah Rosita ◽

Rilla Gantino

Keyword(s):

Regression Analysis ◽

Multiple Regression Analysis ◽

Sampling Method ◽

Secondary Data ◽

Short Term ◽

Return On Assets ◽

Return On Equity ◽

Financial Report ◽

Test Result

The purpose of this research is to determine the effect of The Debt (Long Term Liabilities to Total Assets and Liabilities Total Assets) to the return on assets, return on equity and earning per share. The research used secondary data from annual financial report of Food & Beverage Company from 2011-2015 listed on BEI, used purposive sampling method and used multiple regression analysis. Based on the test result of simultan or test F The Long Term Liabilities to Total Assets and Short Term Liabilities is significant to the Return On Assets, Return On Equity and Earning per share. Result of partial test or T Test, Long Term Liabilities to Total Assets is not significant on Return On assets, Short Term Liabilities to Total Assets is significant on Return on Assets. Long Term Liabilities to Total Assets is not significant to Return On Equity, Short Term Liabilities to Total Assets significant to Return On Equity, Long Term Liabilities to Total Assets in not significant to Earning per share, and Short Term Liabilities to Total assets is significant to Earning per share.

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Conventional and Current way of Interpretation and Cost Forecasting

Journal La Bisecoman ◽

10.37899/journallabisecoman.v1i6.297 ◽

2020 ◽

Vol 1 (6) ◽

pp. 30-33

Author(s):

Shahin ripon Nazmul ◽

Riyaaz Sanjoy

Keyword(s):

Regression Analysis ◽

Production Process ◽

Cross Section ◽

Series Data ◽

Cross Section Data ◽

Short Term ◽

Section Data ◽

Production Factors ◽

Cost Forecasting

This study discuses Short-term cost interpretation, regression analysis with time-series data, long term cost interpretation, Regression analysis using cross-section data, cost forecasting and Changes in the productivity of production factors. Short-term cost interpretation lead to short-term decisions, the concept of incramental costs has a very important role which includes variable costs and changes in fixed costs. Long term cost interpretation to analyze the production function of several different firms, long-run cost estimates can be used. Based on these conditions, the estimation of long-term costs uses cross-section data. Forecasting costs for various levels of output in the coming period requires an assessment of changes in the efficiency of the production process physically, plus changes in the prices of production factors used in the production process.

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Short-term load forecasting using multiple regression analysis

1999 Rural Electric Power Conference (Cat. No. 99CH36302) ◽

10.1109/repcon.1999.768683 ◽

2003 ◽

Cited By ~ 5

Author(s):

C. Perry

Keyword(s):

Regression Analysis ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Load Forecasting ◽

Short Term ◽

Short Term Load Forecasting

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USE OF REGRESSION ANALYSIS IN FORECAST TASKS

Vestnik scientific and methodological council in environmental engineering and water management ◽

10.26897/2618-8732-2020-22-27 ◽

2020 ◽

pp. 22-27

Author(s):

E.S. Lartseva ◽

◽

A.D. Kuznetsova

Keyword(s):

Regression Analysis ◽

Animal Population ◽

Short Term ◽

Statistical Estimates ◽

Term Forecast ◽

Applied Software ◽

The Family ◽

The Russian Federation

Based on official statistics on the number, of representatives of the family of non-ruminant cloven-hoofed animals (Artiodactyl) on the territory of the Russian Federation. Using the example of two species: domestic pigs and wild boars, the dynamics of the indicator for the long term is analyzed. Multidirectional trends were revealed for each species. Mathematical models of the dynamics of the livestock were obtained using the methods of regression analysis and applied software. Statistical estimates of the quality of animal population models were obtained. The short-term forecast for 2020 has been fulfilled.

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The Impact of Emergency Surgery versus Self-expanding Metallic Stents on Anal Function and Quality of Life in Patients with Complete Obstructing Left-sided Colon Cancer

10.21203/rs.3.rs-208724/v1 ◽

2021 ◽

Author(s):

GanBin Li ◽

Tao Yu ◽

Hao-Yu Zhang ◽

Zhen-Jun Wang ◽

Guang-Hui Wei ◽

...

Keyword(s):

Quality Of Life ◽

Colon Cancer ◽

Regression Analysis ◽

Short Term ◽

Anal Function ◽

Eortc Qlq C30 ◽

Eortc Qlq ◽

Better Than

Abstract Background: Emergence surgery (ES) and self-expanding metallic stents (SEMS) are traditional approaches for complete obstructing left-sided colon cancer. A strategy of “stents-chemotherapy-surgery” was applied in our center recently. Studies assessing the anal function and quality of life of patients with complete obstructing left-sided colon cancer are still lacking.Methods: Patients with complete obstructing left-sided colon cancer were included, and three treatment strategies were used, including ES, SEMS, and SEMS followed by neoadjuvant chemotherapy (NAC) for patients with complete obstructing left-sided colon cancer. The Wexner, Vaizey, and low anterior resection syndrome (LARS) scores were used to assess anal function and the EORTC QLQ C30 score was used to assess quality of life. Logistic regression analysis was used to detect risk factors affecting short-term anal function of patients.RESULTS: The Wexner scores were similar among the groups during the follow-up period. The Vaizey (H=18.415, P=0.001) and LARS scores (H=3.660, P=0.04) both revealed that anal function among patients receiving SEMS and NACwas significantly better than patients who underwent ES at the 1-month post-operative follow-up evaluation; no significant difference existed at the 6- and 12-month follow-up evaluations. The EORTC QLQ C30 score revealed that social function of patients receiving SEMS and NAC was also significantly better than patients undergoing ES (H=7.035, P=0.03). Logistic regression analysis suggested that a one-stage stoma in an emergent setting is an independent risk factor for short-term reduction of anal function among patients with complete obstructing left-sided colon cancer (OR=5.238, 95% CI: 1.569~17.484, P=0.007).Conclusion: Compared to ES, SEMS might be able to improve the quality of life and short-term anal function in patients with complete obstructing left-sided colon cancer.

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