Investment Decisions Based on Probability Statistics Mathematical Model in Mordern Manufacturing Engineering

2014 ◽  
Vol 484-485 ◽  
pp. 196-201
Author(s):  
Li Chen ◽  
Hai Xia Wang

With the globalization of economic development, the application of mathematics throughout the various areas of probability and statistics is the use of modern engineering, social and economic research is a core of mathematics. Mathematical modeling provides a new way of thinking to the economic problems from the economic decision-making issues mathematical model of probability and statistics in the economic field.

Author(s):  
José Manuel Orozco Plascencia ◽  
José Manuel de la Mora Cuevas ◽  
Jonás Larios Deniz

Colima is a state that has excellent physical and economic resources that can contribute to its development and immediate growth, however, there was no diagnosis that gathered the main economic vocations of the municipalities. In this sense, the University of Colima, through the School of Economics, raised the possibility of conducting a thorough investigation to determine the current status of the spatial, natural, environmental and infrastructure resources of the 10 communes of the entity, with the object of being identified in a spatial system or electronic platform, in which they can be visualized, updated and interpreted, according to the needs of the Government of the State of Colima and in particular, of the user sector, coordinated by the Ministry of Economic Development of the Government of the State of Colima. The chapter shows the methodology used for the preparation of the economic vocational study, the indicators and data, the planned goals and the objectives, as well as the problems that were faced and solved and the methodological decisions and if justification.


2021 ◽  
Vol 163 (A1) ◽  
pp. 17-28
Author(s):  
Haoqiang Li ◽  
Jihong Chen ◽  
Zheng Wan ◽  
Xiao Cao ◽  
Yaqing Shu ◽  
...  

As an important aspect of global economic development, the choice of ship type for offshore oil transportation is a key issue in shipping companies making investment decisions. These can have far-reaching impacts regarding economic benefits and operational developments by shipping companies. To facilitate relatively accurate scientific decisions to evaluate the economic nature of tankers on investment plans, the study assigns entropy weights to various indicators and models tanker type economic arguments based on the entropy-weighted fuzzy matter-element approach, and by calculating the Euclid approach degree of each tanker evaluates the choice of tanker ship type. The results from the study show that the entropy-weighted fuzzy matter-element method is very effective in dealing with tanker selection and decision-making under complex and multi-attribute scenarios. Several conclusions are drawn and further work suggested.


Resources ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 45 ◽  
Author(s):  
Yury Boldyrev ◽  
Sergey Chernogorskiy ◽  
Konstantin Shvetsov ◽  
Anatoly Zherelo ◽  
Konstantin Kostin

This work touches upon the tasks of describing regional socio-economic development. The nature of the considered problem indicates the fact that the only relevant tool here is mathematical modeling. In this paper, the application of mathematical modeling is considered for the problem of managing regional development. The results of calculations based on the regional dynamic model that passes through the hierarchy of instabilities (the correspondence of the same stationary points of the model to different parameters) are presented. These instabilities lead to increasingly complex structures.


2007 ◽  
Vol 1 (2) ◽  
pp. 111-136 ◽  
Author(s):  
Moshe Sniedovich

For obvious reasons, models for decision-making under severe uncertainty are austere. Simply put, there is precious little to work with under these conditions. This fact highlights the great importance of utilizing in such cases the ingredients of the mathematical model to the fullest extent, which in turn brings under the spotlight the art of mathematical modeling. In this discussion we examine some of the subtle considerations that are called for in the mathematical modeling of decision-making under severe uncertainty in general, and worst-case analysis in particular. As a case study we discuss the lessons learnt on this front from the Info-Gap experience.


2016 ◽  
Vol 5 (2) ◽  
pp. 39-43
Author(s):  
Абрамова ◽  
Galina Abramova ◽  
Крюкова ◽  
Olga Kryukova

In solving current economic problems predicting plays a significant role. The prospect of the development of the region depends on the ability to predict trends in the development of the situation and the results of management decisions. The article presents the main stages of predicting; important approaches of predicting practices are considered. The concepts of risk and uncertainty, as a major source of problems in predicting the social and economic processes, are revealed; the model choice of decisions under conditions of risk and uncertainty is marked, as well as the mathematical tools of decision making under uncertainty and risk; the factors affecting the quality of predicting the regional development are presented.


Author(s):  
N. V. Komarovskaia

The article provides a review of the ways in which interdisciplinary research in modern economic thought gives a more realistic understanding of human behavior and economic decision making. On the one hand, economic imperialism drove wider application of economics methods across social sciences and brought about new interdisciplinary fields, such as law and economics, economic sociology, public choice theory, etc. On the other hand, the origin of behavioral economics, experimental economics, and neuroeconomics bridging psychology, neurobiology, and economics influences the change in the methodology used by the economics itself and fuels transformation of the model of rational economic behavior 'homo economicus', one of the central assumptions of the neoclassical economics. George Akerlof and Robert Shiller's animal spirits, prospect theory of Daniel Kahneman and Amos Tversky, research by Amartya Sen, Daniel McFadden, Vernon Smith, and other economists focusing on decision making either significantly limit, or supplement the homo economicus concept providing a deeper insight into the nature of human rationality. Behavioral economics has already become so strong as a separate discipline that it can be classified into two streams - Classical and Modern, and its main principles should be incorporated into a basic course of traditional economics. The achievements of behavioral economics yield higher quality of economic research and forecasting. Interdisciplinary approach to the human behavior studies and transformation of homo economicus offer new tools for the development policy making.


Author(s):  
Sirkka Schukat ◽  
Marie Diekmann ◽  
Heinke Heise

Research into consumer behavior is confronted with a multitude of challenges and special features. These become apparent in economic decision-making situations in which actual behavior deviates massively from rational explanatory models, such as the model of homo economicus, or when discrepancies are observed between statements made by individuals and their actions. As a common intersection between the economic and the neurosciences, neuroeconomics investigates human decision-making behavior from a neuroscientific perspective. The focus is particularly on explaining these antagonisms of human behavior and deriving motives. With the help of this potentially expandable knowledge, it is possible to subtly influence individual purchasing decisions at the neural level and to predict consumer behavior at the market level. In agricultural economics, for example in the field of food marketing, neuroeconomics could contribute to more reflective purchasing decisions and thus counteract global health challenges such as obesity. To date, no research has been conducted into the extent to which neuroeconomics has already been applied in agricultural scientific research. The objectives of the article are to provide an aggregated basic knowledge in the field of neuroeconomics, taking into account the applied methods as well as a literary overview of previous research in the context of agricultural economics. The article addresses all those interested in getting an overview of what neuroeconomics entails and how it is already being applied in agricultural research without any prior neuroscience background.


Author(s):  
V. Zatserkovnyy ◽  
M. Bogoslovskyi

Here one can find the approach to develop a model of functional state of researched object for the assessment of the risks emergencies appearance. The analysis of the causes of appearance and development of natural and anthropogenic emergencies is conducted and the most indicative causes are defined. Emergency risk analysis is part of a system-wide approach to decision-making in the process of managing territories, procedures and practical measures to address the challenges of managing a security process. The basis of risk analysis is the physical and mathematical modeling of natural and socio-economic systems and processes occurring in them, which involves the interaction of the main components of the system with the environment in regular and extra-ordinary situations. Since dangerous phenomena (emergencies) occur in a certain area with specific coordinates, it is quite clear that geo-information systems (GIS) and geo-information technologies (GIS) are most appropriate for assessing the risk of emergencies. To describe the functioning of the monitoring object it is necessary to construct its mathematical model. The most complete state of the object of the study is characterized by its mathematical functional and statistical model (a system of equations that describes the dependence of the parameters of the monitoring object, its systems and subsystems on external and internal effects in the process of its functioning). Based on the analysis of this model, it becomes possible to formulate the main tasks that are solved by GIS in monitoring of natural or socio-economic systems, and synthesize the optimal structure of GIS.


1993 ◽  
Vol 21 (3) ◽  
pp. 9-23 ◽  
Author(s):  
Robert S. Browne

The Review of Black Political Economy (RBPE) and the Black Economic Research Center (BERC) arose from the atmosphere of the late sixties, when black nationalism was at its apex and vigorous efforts were under way to give meaning to the concepts of “black economic development” and “black capitalism.” They were created as vehicles to assist black economists and economic activists to analyze and disseminate relevant data on black economic affairs and to explore and facilitate new approaches to black economic problems. RBPE offered black economists a place where they could publish their work and share it with their colleagues. The flavor of RBPE has changed somewhat over its twenty-three year life, becoming less polemical and more scholarly.


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