Gold production in the Russian Federation: The analysis and forecast

2021 ◽  
Vol 17 (7) ◽  
pp. 1326-1343
Author(s):  
Chi CHANG ◽  
Viktor M. ZAERNYUK
Keyword(s):  
Mathematical Model ◽  
Exchange Rate ◽  
Gold Deposit ◽  
Russian Federation ◽  
Least Square Method ◽  
Gold Deposits ◽  
Least Square ◽  
Economic Forecast ◽  
Gold Production ◽  
The Russian Federation

Subject. The article discusses possible lines for improving the methodological framework of the long-term economic forecast of gold production in the Russian Federation, relying upon the mathematical apparatus of econometric models. Objectives. We devise an economic-mathematical model for predicting the gold production with respect to the specifics of the economic development in Russia’s gold mining industry. Methods. The study is based in the correlation and regression methods for analyzing publicly available statistical data on the gold market. The least square method is taken as the methodological approach to designing the economic-mathematical model for forecasting. Results. Each gold deposit is found to be distinctive, having its own qualities, which seriously differ from those of other gold deposit. As a result of the analysis, we discovered key factors, which significantly influence the gold production, such as demand and price for gold, the amount and quality of geological reserves of gold, the amount of investment to be made in geological prospecting, national exchange rate and key rate of the Bank of Russia. We substantiated the use of the linear three-factor model, which involves gold production volumes in Russia, demand for gold, national exchange rate and price for gold as regressors. According to our estimates, in the Russian Federation, gold production will have reached 370–380 tons by 2025. Conclusions. Based on the least square method, the structural forecast apparatus does not account for geological and geographic-economic distinctions of gold deposits due to their unique nature. Therefore, determining regressors for the model, we predominantly focuses on open access data.

Research on Generator Excitation Parameter Identification - PSS Low-Pass Link Parameter Identification

2013 ◽  
Vol 805-806 ◽  
pp. 716-720
Author(s):  
Tao Xu ◽  
Tian Long Shao ◽  
Dong Fang Zhang
Keyword(s):  
Mathematical Model ◽  
Parameter Identification ◽  
Least Squares Method ◽  
Least Square Method ◽  
Least Square ◽  
National Standards ◽  
Matlab Software ◽  
Low Pass ◽  
Newton Iterations ◽  
The Mathematical Model

Combined with the contents of the study-PSS low-pass link parameter identification. Least-squares method is selected. Using least-square method for PSS low-pass link mathematical model are also deduced. For the results, because of the mathematical model is solving nonlinear equations, cannot used by the Newton method directly. So we choose to use Newton iterations, with this feature, choose to use MATLAB software to solve the equation. Identification of the use of MATLAB software lags after the PSS parameters obtained recognition results compared with national standards, identifying and verifying the practicability.

Development options for the world monetary system

2021 ◽  
pp. 163-169
Author(s):  
Т.С. Аббасова ◽  
Т.Э. Аббасов
Keyword(s):  
Exchange Rate ◽  
Russian Federation ◽  
Foreign Exchange Market ◽  
Exchange Market ◽  
Resource Rent ◽  
Monetary System ◽  
The Russian Federation ◽  
Factors Of Influence ◽  
Parity Exchange ◽  
Natural Resource Rent

Выявлены факторы влияния валютной политики на валютный рынок и реальный сектор экономики Российской Федерации. Составлена модель для анализа факторов, влияющих на уровень заниженности или завышенности валютного курса Российской Федерации по отношению к паритетному валютному курсу. Показано, что уровень заниженности валютного курса отрицательно коррелирует с сальдо платежного баланса и ростом ВВП, при этом положительно коррелирует с уровнем инфляции, уровнем природной ренты в экономике и уровнем коррупции в стране. Предложены организационные мероприятия для повышения эффективности валютного контроля в России. The factors of influence of monetary policy on the foreign exchange market and the real sector of the economy of the Russian Federation are revealed. A model has been compiled to analyze the factors that influence the level of undervaluation or overvaluation of the Russian Federation exchange rate in relation to the parity exchange rate. It is shown that the level of undervaluation of the exchange rate negatively correlates with the balance of payments and GDP growth, while positively correlating with the level of inflation, the level of natural resource rent in the economy and the level of corruption in the country. Organizational measures are proposed to improve the efficiency of currency control in Russia.

Displacement Analysis of the 3SPS-3CCS Mechanism Based on Hyper-Chaotic Damp Least Square Method

2011 ◽  
Vol 55-57 ◽  
pp. 2092-2098
Author(s):  
You Xin Luo ◽  
Qi Yuan Liu ◽  
Xiao Yi Che ◽  
Bin Zeng
Keyword(s):  
Mathematical Model ◽  
Real Number ◽  
Matrix Method ◽  
Parallel Mechanism ◽  
Least Square Method ◽  
Least Square ◽  
Forward Displacement ◽  
Displacement Analysis ◽  
Chaotic Sequences ◽  
Chaos System

The forward displacement analysis of parallel mechanism is attributed to find the solutions of complicated nonlinear equations and it is a very difficult process. Taking chaotic sequences as the initial values of the damp least square method, we can find all the solutions of equations quickly. Making use of existing chaos system and discovering new chaos system to generate chaotic sequences with good properties is the key to the damp least square method based on Chaos sequences. Based on utilizing hyper-chaotic Hénon mapping to obtain initial points, a new method of finding all real number solutions of the nonlinear questions is proposed. Using cosine matrix method, the author established the mathematical model of forward displacement for the generalized 3SPS-3CCS parallel robot mechanism and a numerical example is given. Compared to the quaternion method building mathematical model, the result shows cosine matrix method building mathematical model and hyper-chaotic damp least square method to find solution is brief and high calculation efficiency as the calculation is done in real number range. The proposed method has universality which can be used in forward displacement of other parallel mechanism.

Bridging of the digital economy space limits

2020 ◽  
pp. 89-106 ◽  
Author(s):  
Т.Ф. Шарифьянов
Keyword(s):  
Exchange Rate ◽  
Comparative Analysis ◽  
Statistical Analysis ◽  
Russian Federation ◽  
Open Problem ◽  
Digital Economy ◽  
Institutional Approach ◽  
Government Documents ◽  
The Subject ◽  
The Russian Federation

Объектом статьи выступает региональная инфраструктура цифровой экономики, а предметом - институциональные механизмы распространения инфраструктуры от карскаса расселения к малым населенным пунктам на периферийных территориях региона. Выполнен анализ объемов, структуры и приоритетов финансирования национального проекта «Цифровая экономика». Сделан прогноз финансирования НИОКР в РФ в период 2019-2024 на основе правительственных документов, прогнозов ВВП и курса рубля. Выполнен сравнительный анализ достаточности финансирования НИОКР в РФ. Определена проблема, с которой столкнутся регионы России при переходе к цифровой экономике - дефицит инфраструктуры цифровой экономики и выявлены пространственные характеристики этого дефицита. Сформулированы понятия объективного (структурного) и субъективного (стратегического) барьеров на пути инвестиций в региональную инфраструктуру. На основе статистического анализа, разработаны методы решения вскрытой проблемы реиональными силами. Сформулированы региональные задачи снижения субъективных барьеров на пути развития инфраструктуры и доказана возможность их решения. Regional infrastructure of the digital economy is the object of this paper. And the subject is the institutional mechanisms for the infrastructure distribution from the urban lattice to the small rural settlement in the districts peripheral territories. Authors made analysis of the volumes, structure and priorities of the national project "Digital Economy" financing. A forecast is made for financing R&D in the Russian Federation in the period 2019-2024 based on government documents, forecasts of GDP and the ruble exchange rate. A comparative analysis of the adequacy of R&D funding in the Russian Federation is carried out. The problem that Russian districts will face in the transformation to the digital economy is identified - a deficit in the infrastructure of the digital economy and the spatial characteristics of this deficit are revealed. The author formulated the concepts of objective (structural) and subjective (strategic) barriers to investment in regional infrastructure. Methods for solving a district level open problem based on statistical analysis are proposed. Based on the institutional approach, two tasks have been set for the district authorities and the possibility of solving them has been proved.

FORMULATION OF MATHEMATICAL MODEL FOR MAINTENANCE COST OF A STONE CRUSHING PLANT BASED ON DIMENSIONAL ANALYSIS AND MULTIPLE REGRESSION

2013 ◽  
pp. 1-6
Author(s):  
PROF. ANJALI J. JOSHI ◽  
DR. JAYANT P. MODAK
Keyword(s):  
Mathematical Model ◽  
Multiple Regression ◽  
Dimensional Analysis ◽  
Least Square Method ◽  
Least Square ◽  
Maintenance Cost ◽  
Design Data ◽  
Static And Dynamic Analysis ◽  
Dimensionless Equation ◽  
Crushing Plant

This paper presents the approach for the mathematical modeling of maintenance cost for the set up of new Stone Crushing Plant based on the dimensional analysis and multiple regression. Presented maintenance cost mathematical model is derived based on the generated design data. Design data is generated from actual design of all stone crushing plants followed by static and dynamic analysis. Estimation of design data is carried out based on the assumed plant layout. Dimensional analysis is used to make the independent and dependent variables dimensionless and to get dimensionless equation. Later, multiple regression analysis is applied to this dimensionless equation to obtain the index values based on the least square method. The mathematical model of maintenance cost is formulated using these obtained index values. Finally, the formulated model is evaluated on the basis of correlation and root mean square error between the computed values by model and the estimated values.

Railroad track modeling based on the results of mobile laser scanning

2018 ◽  
pp. 408-413
Author(s):  
Elena Lenchenkova
Keyword(s):  
Mathematical Model ◽  
Laser Scanning ◽  
Dimensional Space ◽  
Practical Importance ◽  
Three Dimensional ◽  
Least Square Method ◽  
Least Square ◽  
Railroad Track ◽  
Railway Line ◽  
Type Data

Objective: To develop a mathematical model of the railroad track based on the initial progressive-type data (laser scanning) in railroad design. Methods: Regression analysis (least-square method), as well as coordinate methods of calculating point position in space were applied. Results: The mathematical model, which could describe the position of the railroad track in three-dimensional space by means of mathematical relations, was obtained. Applicability of approximating models was established. The models make it possible to provide smoothing of laser survey data. Regularization and globalization algorithms of initial data were developed. Practical importance: The introduced model is universal when describing the position of the track at all stages of life cycle of the railway line. It is reasonable to apply the presented model in design engineering in order to balance survey errors, maintain the track in coordinates, as well as to calculate design and profile parameters.

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