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Journal articles on the topic 'Economics – Simulation methods'

Author: Grafiati

Published: 10 December 2022

Last updated: 31 July 2025

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1

Heiss, Florian. "Discrete Choice Methods with Simulation." Econometric Reviews 35, no. 4 (2016): 688–92. http://dx.doi.org/10.1080/07474938.2014.975634.

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Iannazzo, Sergio. "Bayesian statistic methods and theri application in probabilistic simulation models." Farmeconomia. Health economics and therapeutic pathways 8, no. 1 (2007): 5–13. http://dx.doi.org/10.7175/fe.v8i1.251.

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Bayesian statistic methods are facing a rapidly growing level of interest and acceptance in the field of health economics. The reasons of this success are probably to be found on the theoretical fundaments of the discipline that make these techniques more appealing to decision analysis. To this point should be added the modern IT progress that has developed different flexible and powerful statistical software framework. Among them probably one of the most noticeably is the BUGS language project and its standalone application for MS Windows WinBUGS. Scope of this paper is to introduce the subje

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3

Odum, Howard T. "Simulation models of ecological economics developed with energy language methods." SIMULATION 53, no. 2 (1989): 69–75. http://dx.doi.org/10.1177/003754978905300205.

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4

Hendershott, Patric H., and Martin Feldstein. "Behavioral Simulation Methods in Tax Policy Analysis." Journal of Money, Credit and Banking 17, no. 2 (1985): 280. http://dx.doi.org/10.2307/1992343.

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5

Novales, Alfonso. "The role of simulation methods in Macroeconomics." Spanish Economic Review 2, no. 3 (2000): 155–81. http://dx.doi.org/10.1007/pl00013576.

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6

Pereira da Silva, Paulo, Paulo Tomaz Rebelo, and Cristina Afonso. "Tail Dependence of Financial Stocks and CDS Markets – Evidence Using Copula Methods and Simulation-Based Inference." Economics: The Open-Access, Open-Assessment E-Journal 8, no. 2014-39 (2014): 1. http://dx.doi.org/10.5018/economics-ejournal.ja.2014-39.

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Reutov, Viktor Yevgeniyevich, Viktoriya Vladimirovna Reutova, Larisa Аnatolievna Kravchenko, and Irina Аnatolievna Troyan. "BUSINESS SIMULATION AS AN INTERACTIVE METHOD FOR TRAINING ECONOMISTS." Scientific Bulletin: finance, banking, investment., no. 1 (54) (2022): 162–71. http://dx.doi.org/10.37279/2312-5330-2021-1-162-171.

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n the article, the authors identified the essence of the main categories of research: simulation, computer simulation, business simulation. Business simulation is viewed as an interactive method for training economists, which has a system of rules and objectives and is aimed at forming a set of competencies that will help the student in subsequent economic activities. Business simulation has a clearly defined educational goal — the development of practical skills and competencies by the participants. The authors identified the key advantages of using business simulation, including: differentia

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Calvet, Laura, Rocio de la Torre, Anita Goyal, Mage Marmol, and Angel Juan. "Modern Optimization and Simulation Methods in Managerial and Business Economics: A Review." Administrative Sciences 10, no. 3 (2020): 47. http://dx.doi.org/10.3390/admsci10030047.

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Managerial and Business Economics (ME/BE) aims at using quantitative and computational methods to make an efficient (ideally optimal) assignment of the scarce resources owned by firms and organizations. In the current global market, characterized by a fierce competition, an optimal use of the available resources is more important than ever for guaranteeing the economical sustainability of organizations and enterprises of any size. Heuristic optimization algorithms and simulation methods have been successfully employed to analyze and enhance complex systems and processes in a myriad of ME/BE-re

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Degeling, Koen, Maarten J. IJzerman, Mariel S. Lavieri, Mark Strong, and Hendrik Koffijberg. "Introduction to Metamodeling for Reducing Computational Burden of Advanced Analyses with Health Economic Models: A Structured Overview of Metamodeling Methods in a 6-Step Application Process." Medical Decision Making 40, no. 3 (2020): 348–63. http://dx.doi.org/10.1177/0272989x20912233.

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Metamodels can be used to reduce the computational burden associated with computationally demanding analyses of simulation models, although applications within health economics are still scarce. Besides a lack of awareness of their potential within health economics, the absence of guidance on the conceivably complex and time-consuming process of developing and validating metamodels may contribute to their limited uptake. To address these issues, this article introduces metamodeling to the wider health economic audience and presents a process for applying metamodeling in this context, including

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10

Davis, Joseph H., Nelson W. Wicas, and Francis M. Kinniry. "The Strengths and Weaknesses of Various Financial Simulation Methods." Journal of Wealth Management 6, no. 4 (2004): 33–42. http://dx.doi.org/10.3905/jwm.2004.391056.

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11

Gao, Guohua, Jeroen C. Vink, Faruk O. Alpak, and W. Mo. "An Efficient Optimization Work Flow for Field-Scale In-Situ Upgrading Developments." SPE Journal 20, no. 04 (2015): 701–16. http://dx.doi.org/10.2118/2014-1885283-pa.

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Summary In-situ upgrading process (IUP) is an attractive technology for developing unconventional extraheavy-oil reserves. Decisions are generally made on field-scale economics evaluated with dedicated commercial tools. However, it is difficult to conduct an automated IUP optimization process because of unavailable interface between the economic evaluator and commercial simulator/optimizer, and because IUP is such a highly complex process that full-field simulations are generally not feasible. In this paper, we developed an efficient optimization work flow by addressing three technical challen

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Sokolov, Dmitry Aleksandrovich, and Dmitry Olegovich Rogov. "OPTIMIZATION OF TRANSPORT HUB OPERATION USING SIMULATION MODELING METHODS." World of transport and technological machines 88, no. 1-4 (2025): 51–58. https://doi.org/10.33979/2073-7432-2025-1-4(88)-51-58.

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Today queuing theory finds its application in many fields,including economics, transport, IT technologies, scientific researches, etc. Using analytical approaches to the study of complex queuing systems (QS)can obtain only a set of specific parameters and characteristics of research objects. Methods based on simulation modeling provide a wide range of opportunities for visualizing the operation of complex systems with different degrees of detail. They also allow the use of a variety of computational algorithms to process and analyze information, making them a powerful tool for service-level op

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13

Farid, Imam. "Simulation Learning in Economics Education: Empowering Critical Thinking and Rahmatan Lil Alamin Value." Tadibia Islamika 3, no. 2 (2023): 95–102. http://dx.doi.org/10.28918/tadibia.v3i2.1190.

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This study explores the application of critical education paradigms, particularly Rahmatan Lil Alamin, to enhance critical thinking skills in economics subjects through simulation learning methods. Critical education aims to challenge unjust social structures and systems by cultivating critical consciousness and empowering individuals. Simulation learning is employed as a means to promote active student engagement and stimulate critical thinking. Drawing upon literature reviews highlighting the effectiveness of simulation methods in improving critical thinking, the study investigates the impac

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14

Chiou, Lesley, and Joan L. Walker. "Masking identification of discrete choice models under simulation methods." Journal of Econometrics 141, no. 2 (2007): 683–703. http://dx.doi.org/10.1016/j.jeconom.2006.10.012.

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15

Geweke, John. "Using simulation methods for bayesian econometric models: inference, development,and communication." Econometric Reviews 18, no. 1 (1999): 1–73. http://dx.doi.org/10.1080/07474939908800428.

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Budiwati, Neti, Kinanti Geminastiti H, and Fazar Nuriansyah. "USE OF SIMULATION METHODS AND VIDEO MEDIA TEACHING IN INCREASING STUDENTS' INTEREST TO BECOME TEACHERS (Case in Economics Learning Strategy Course)." AL-ISHLAH: Jurnal Pendidikan 14, no. 3 (2022): 3813–20. http://dx.doi.org/10.35445/alishlah.v14i3.1680.

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The problem of the low interest in being a teacher for students participating in the Economics Learning Strategy Study Program of Economics Education Study Program at the University of Economics Education became the motivation for this research to be carried out. This study aims to determine whether the use of teaching simulation methods and teaching video media for teachers can increase students' interest in being a teacher. The research method is descriptive qualitative with an open questionnaire data collection tool through the Integrated Online Learning System (SPOT) Universitas Pendidikan

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17

Semerikov, Serhiy, Illia Teplytskyi, Yuliia Yechkalo, Oksana Markova, Vladimir Soloviev, and Arnold Kiv. "Using spreadsheets as learning tools for neural network simulation." Ukrainian Journal of Educational Studies and Information Technology 10, no. 3 (2022): 42–68. http://dx.doi.org/10.32919/uesit.2022.03.04.

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The article supports the need for training techniques for neural network computer simulations in a spreadsheet context. Their use in simulating artificial neural networks is systematically reviewed. The authors distinguish between fundamental methods for addressing the issue of network computer simulation training in the spreadsheet environment, joint application of spreadsheets and tools for neural network simulation, application of third-party add-ins to spreadsheets, development of macros using embedded languages of spreadsheets, use of standard spreadsheet add-ins for non-linear optimizati

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18

Storm, Hugo, Kathy Baylis, and Thomas Heckelei. "Machine learning in agricultural and applied economics." European Review of Agricultural Economics 47, no. 3 (2019): 849–92. http://dx.doi.org/10.1093/erae/jbz033.

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AbstractThis review presents machine learning (ML) approaches from an applied economist’s perspective. We first introduce the key ML methods drawing connections to econometric practice. We then identify current limitations of the econometric and simulation model toolbox in applied economics and explore potential solutions afforded by ML. We dive into cases such as inflexible functional forms, unstructured data sources and large numbers of explanatory variables in both prediction and causal analysis, and highlight the challenges of complex simulation models. Finally, we argue that economists ha

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19

Mutiya Oktariani, Damayanti, and Candra A. Wahyudhi. "The Effects of Game Simulation Implementation on Economics Concept Understanding." Technium Social Sciences Journal 49, no. 1 (2023): 475–79. http://dx.doi.org/10.47577/tssj.v49i1.9844.

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Education in the 21st century integrates literacy skill, knowledge, life skills, attitudes and mastery of ICT. These skills can be developed by using learning methods, one of which is game simulation. This study was intended to analyze whether game simulation methods can improve students' conceptual understanding. This study employed a quasi-experimental with non-equivalent control group design. The samples were selected using a purposive sampling method. In this study, class X.IPS.1 was obtained to be the experimental group with a total of 30 people. The data were collected by using tests. Th

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Gamba-Santamaria, Santiago, Oscar Fernando Jaulin-Mendez, Luis Fernando Melo-Velandia, and Carlos Andrés Quicazán-Moreno. "Comparison of methods for estimating the uncertainty of value at risk." Studies in Economics and Finance 33, no. 4 (2016): 595–624. http://dx.doi.org/10.1108/sef-03-2016-0055.

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Purpose Value at risk (VaR) is a market risk measure widely used by risk managers and market regulatory authorities, and various methods are proposed in the literature for its estimation. However, limited studies discuss its distribution or its confidence intervals. The purpose of this paper is to compare different techniques for computing such intervals to identify the scenarios under which such confidence interval techniques perform properly. Design/methodology/approach The methods that are included in the comparison are based on asymptotic normality, extreme value theory and subsample boots

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21

Duffuaa, S. O., A. N. Shuaib, and M. Alam. "Evaluation of optimization methods for machining economics models." Computers & Operations Research 20, no. 2 (1993): 227–37. http://dx.doi.org/10.1016/0305-0548(93)90077-v.

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22

Zhou, Ming-Yang, Xiao-Yu Li, Wen-Man Xiong, and Hao Liao. "Quantifying the Robustness of Countries’ Competitiveness by Network-Based Methods." Complexity 2018 (December 2, 2018): 1–10. http://dx.doi.org/10.1155/2018/5738135.

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In economic researches, much effort was devoted to the problem of how to increase the economics of countries. However, the development of a country may fluctuate a lot due to international and domestic problems. Thus, we should also evaluate the robustness of countries against unexpected economic recessions. In this paper, we use perturbation to quantify the robustness of countries using two renowned algorithms: method of reflections (MR) and fitness-complexity method (FCM). The robustness characterizes the stability of countries’ competitiveness against economic recessions. The experiments in

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23

Jagathesan, Dr T. "A critical study of the evolution of Mathematics in Economic Analysis." JOURNAL OF DEVELOPMENT ECONOMICS AND MANAGEMENT RESEARCH STUDIES 08, no. 08 (2021): 78–82. http://dx.doi.org/10.53422/jdms.2021.8801.

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Mathematical economics is an electrifying division of study in economics. It is helpful in model building and provides mathematical form of a descriptive theory in a simple as well as easily understandable way. Economics axiomatization can be embedded with mathematical formula to make it more scientific. Some of the concepts and theories like input-output analysis, linear programming, theory of games and economic behaviour, economic problems of optimum allocation of resources, organizing and planning of production, hyper formalistic methods now the application of computer simulation, normative

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24

Suhobokov, Alexander. "APPLICATION OF MONTE CARLO SIMULATION METHODS IN RISK MANAGEMENT." Journal of Business Economics and Management 8, no. 3 (2007): 165–68. http://dx.doi.org/10.3846/16111699.2007.9636165.

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The paper deals with Monte Carlo simulation method and its application in Risk Management. The author with the help of MATLAB 7.0 introduces new modification of Monte Carlo algorithm aimed at fast and effective calculation of financial organization's Value at Risk (VaR) by the example of Parex Bank's FOREX exposure.

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Maksymova, Oksana B., Viktor O. Boltyonkov, Maksym V. Maksymov, Pavlo S. Gultsov, and Oleksii M. Maksymov. "Development and optimization of simulation models and methods for controlling virtual artillery units in game scenarios." Herald of Advanced Information Technology 6, no. 4 (2023): 320–37. http://dx.doi.org/10.15276/hait.06.2023.21.

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In the realm of modern video game development, special attention is given to the simulation of artillery systems, which play a crucial role in various military-themed games. This research presents a mathematical model for simulating the actions of a virtual artillery system. The model is designed to manage the execution of combat tasks, including targeting destruction with a specified number of shells and incorporating the strategic movement between firing positions to minimize detection and attack by enemy forces in the game. The model presumes that all shots are effective and equates the num

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Berry, Steven T., and Giovanni Compiani. "Empirical Models of Industry Dynamics with Endogenous Market Structure." Annual Review of Economics 13, no. 1 (2021): 309–34. http://dx.doi.org/10.1146/annurev-economics-081720-120019.

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This article reviews recent developments in the study of firm and industry dynamics, with a special emphasis on the econometric endogeneity of market structure. The endogeneity of market structure follows from the presence of serially correlated unobservable shocks to the profitability of firms’ dynamic decisions, a feature common to many empirical settings. Methods that ignore endogeneity can lead to misleading parameter estimates and misleading counterfactual results. We pay particular attention to extensions of standard two-step methods that leverage instrumental variables to address endoge

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Subramanian, Avinash, Truls Gundersen, and Thomas Adams. "Modeling and Simulation of Energy Systems: A Review." Processes 6, no. 12 (2018): 238. http://dx.doi.org/10.3390/pr6120238.

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Energy is a key driver of the modern economy, therefore modeling and simulation of energy systems has received significant research attention. We review the major developments in this area and propose two ways to categorize the diverse contributions. The first categorization is according to the modeling approach, namely into computational, mathematical, and physical models. With this categorization, we highlight certain novel hybrid approaches that combine aspects of the different groups proposed. The second categorization is according to field namely Process Systems Engineering (PSE) and Ener

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Martin, G. M., and C. S. Forbes. "Using simulation methods for bayesian econometric models: inference, development and communication: some comments." Econometric Reviews 18, no. 1 (1999): 113–18. http://dx.doi.org/10.1080/07474939908800433.

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Kislitsyn, Evgeniy, and Victor Gorodnichev. "Scenarios of sustainable development of metallurgical industry: simulation modeling." E3S Web of Conferences 208 (2020): 03012. http://dx.doi.org/10.1051/e3sconf/202020803012.

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Due to a complicated epidemiological situation, current economic situation in Russia and the world gives a push to new researches in the field of ensure sustainable development in all branches of industry. Methods and tools available today cannot fully provide this, so modern economics needs to develop fundamentally new approaches to the study of industries. Within the framework of this research it is proposed to use simulation modeling to predict scenarios of sustainable development of certain industries, in particular metallurgy, mining of metal ores and production of finished metal products

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Avinta Ika Nurrahma, Saifuddin, and Siti Nafi’yah. "Using Simulation as Project-Based Learning to Improve Students’ Speaking Skill on Business English Course." Journal of Scientific Research, Education, and Technology (JSRET) 2, no. 3 (2023): 1133–39. http://dx.doi.org/10.58526/jsret.v2i3.209.

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The aim of this study is to know the increasing students’ speaking ability by using simulation as project-based learning on business English course. This research used classroom action research with a combination of simulation method as project-based learning on the Business English course. The use of simulation has been implemented on the Business English course at Faculty of Economics, management study program at Kadiri Islamic University. Sixth-semester students performed presentations as simulations and practiced speaking in groups. This research was conducted in two research cycles which

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Wang, Jianguo, Tongsan Wang, Yuna Shi, Diwei Xu, Yutian Chen, and Jie Wu. "Metaverse, SED Model, and New Theory of Value." Complexity 2022 (May 9, 2022): 1–26. http://dx.doi.org/10.1155/2022/4771516.

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The metaverse concept constructs a virtual world parallel to the real world. The social economic dynamics (SED) model establishes a systematic model for social economic dynamics simulation that integrates macroeconomy and microeconomy based on modeling mechanism of the new theory of value by analogy with Newtonian mechanics and the modeling approach of Agent-based computational economics. This article describes the SED model’s modeling mechanisms, modeling rules, and behavior equations. At the same time, this article introduces the methods, testing standards, and some typical cases about using

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32

Okrepilov, V. V., V. L. Makarov, A. R. Bakhtizin, and S. N. Kuzmina. "Application of Supercomputer Technologies for Simulation Of Socio-Economic Systems." Economy of Region 17, no. 4 (2021): 1405. http://dx.doi.org/10.17059/ekon.reg.2021-4-25.

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In order to сover a more wide thematic audience of the journal Economy of Regiona, the authors Okrepilov V. V., Makarov V. L., Bakhtizin A. R., Kuzmina S.N. of the paper Application of Supercomputer Technologies for Simulation Of Socio-Economic Systems, published in the 2nd Issue, 2015 used the materials of previously published paper “Supercomputer Technologies Application in Social Sciences”, Economics and Mathematical Methods, Vol.49 (4), 2013 and “Supercomputer Technologies Application in Social Sciences”, UPRAVLENIE / MANAGEMENT (Russia), Issue 2, 2014 (DOI 10.12737/4167). The works used t

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Weinberg, Matthew C. "More Evidence on the Performance of Merger Simulations." American Economic Review 101, no. 3 (2011): 51–55. http://dx.doi.org/10.1257/aer.101.3.51.

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Merger simulations are commonly used to simulate the effects of potential mergers. Despite the large resources devoted to merger review, little evidence exists on the accuracy of these methods. This paper uses the acquisition of Tambrands by Proctor and Gamble to provide evidence on the efficacy of merger simulation. Two simple demand systems are estimated under several identification assumptions and combined with a static model of price competition. Simulations predict small price effects of about 1 percent for the merging firms' brands, while direct estimates indicate the merger raised price

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Ludkovski, Michael, and Aditya Maheshwari. "Simulation methods for stochastic storage problems: a statistical learning perspective." Energy Systems 11, no. 2 (2019): 377–415. http://dx.doi.org/10.1007/s12667-018-0318-4.

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35

Babenko, Vitalina, Andriy Panchyshyn, Larysa Zomchak, Maryna Nehrey, Zoriana Artym-Drohomyretska, and Taras Lahotskyi. "Classical Machine Learning Methods in Economics Research: Macro and Micro Level Examples." WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS 18 (January 5, 2021): 209–17. http://dx.doi.org/10.37394/23207.2021.18.22.

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Paper reviews the classical methods of machine learning (supervised and unsupervised learning),gives examples of the application of different methods and discusses approaches that will be useful for empiricaleconomics research (on data from Ukrainian firms, banks and official state statistics). The different sectors ofeconomics are investigated: the multiple linear regression is used on macrolevel for macro production functionof Ukraine specification; logistic regression is used in bank sector for credit risk management with the scoringmodel; k-means, hierarchic clustering and DBSCAN are used

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Kislitsyn, Evgeniy, and Victor Gorodnichev. "Simulation of development of individual heavy industry sectors." Business Informatics 15, no. 1 (2021): 59–77. http://dx.doi.org/10.17323/2587-814x.2021.1.59.77.

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Nowadays, in the context of the coronavirus crisis, the issue of ensuring the sustainable development of heavy industries is acute. However, theoretical and analytical researches alone are not sufficient for this, and economic science needs to develop fundamentally new approaches to the study of the development of industrial sectors. This article is devoted to the creation and testing of a simulation model for the development of individual sectors of the economy. The object of research is the metallurgical industry, as well as related ore mining, mechanical engineering and production of finish

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Ekelund, Stale, and Zilia Iskoujina. "Cybersecurity economics – balancing operational security spending." Information Technology & People 32, no. 5 (2019): 1318–42. http://dx.doi.org/10.1108/itp-05-2018-0252.

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Purpose The purpose of this paper is to demonstrate how to find the optimal investment level in protecting an organisation’s assets. Design/methodology/approach This study integrates a case study of an international financial organisation with various methods and theories in security economics and mathematics, such as value-at-risk (VaR), Monte Carlo simulation, exponential and Poisson probability distributions. Thereby it combines theory and empirical findings to establish a new approach to determining optimal security investment levels. Findings The results indicate that optimal security inv

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Zimmermannova, Jarmila, Andreas P. Redecker, Michal Mensik, and Carsten Juergens. "Geospatial Data Analysis and Economic Evaluation of Companies for Sustainable Business Development—An Interdisciplinary Teaching Approach." Sustainability 13, no. 20 (2021): 11245. http://dx.doi.org/10.3390/su132011245.

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Sustainable business development is connected with environmental impact, natural resources and people. This makes the location a crucial factor for the operation of a business. Therefore, a combination of both geo-spatial data analysis and traditional economic evaluation of companies are advantageous. The consideration of geolocation is beneficial with calculations for process optimizations and cost efficiency as well as ecological and social compliance. Since integrating geospatial methods into economics is a rather new interdisciplinary approach, it seems necessary to establish innovative te

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Zimmermannova, Jarmila, Andreas P. Redecker, Michal Mensik, and Carsten Juergens. "Geospatial Data Analysis and Economic Evaluation of Companies for Sustainable Business Development—An Interdisciplinary Teaching Approach." Sustainability 13, no. 20 (2021): 11245. http://dx.doi.org/10.3390/su132011245.

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Sustainable business development is connected with environmental impact, natural resources and people. This makes the location a crucial factor for the operation of a business. Therefore, a combination of both geo-spatial data analysis and traditional economic evaluation of companies are advantageous. The consideration of geolocation is beneficial with calculations for process optimizations and cost efficiency as well as ecological and social compliance. Since integrating geospatial methods into economics is a rather new interdisciplinary approach, it seems necessary to establish innovative te

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40

Asmussen, S., and K. Binswanger. "Simulation of Ruin Probabilities for Subexponential Claims." ASTIN Bulletin 27, no. 2 (1997): 297–318. http://dx.doi.org/10.2143/ast.27.2.542054.

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AbstractWe consider the classical risk model with subexponential claim size distribution. Three methods are presented to simulate the probability of ultimate ruin and we investigate their asymptotic efficiency. One, based upon a conditional Monte Carlo idea involving the order statistics, is shown to be asymptotically efficient in a certain sense. We use the simulation methods to study the accuracy of the standard Embrechts-Veraverbeke [16] approximation for the ruin probability and also suggest a new one based upon ideas of Hogan [21].

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KHudayberganova, Marguba Abdievna, Botir Erkinovich Shermatov, and Sanobar Dilshodevna Sativaldieva. "The Lingvadidactic Basis of Teaching Economic Terms Through the Interactive Method." International Journal of Academic Research in Business, Arts & Science ( IJARBAS.COM ) 3, no. 4 (2021): 17–26. https://doi.org/10.5281/zenodo.4739262.

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The purpose of the research is to improve the lingo didactic basis of teaching economic terms in English and to illustrate ways to solve problems that arise in practice. use of interactive methods, analysis of the peculiarities of teaching economic terms, study of the history of the origin of terms and quantitative indicators in the assimilation layer, identification of the typology of problems in the practical application of economic terms, the development of a system of utilization.   <strong><em>Keywords</em></strong>: didactic basis, terminology, economics, linguodidactics, monolingua

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42

Griffiths, W. E. "Estimating consumer surplus comments on "using simulation methods for bayesian econometric models: inference development and communication"." Econometric Reviews 18, no. 1 (1999): 75–87. http://dx.doi.org/10.1080/07474939908800429.

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43

Lollivier, Stefan. "Dynamics of Individual Wealth Accumulation: A Use of Simulation Methods for Estimating Limited Dependent-Variables Models." Economica 71, no. 284 (2004): 589–618. http://dx.doi.org/10.1111/j.0013-0427.2004.00390.x.

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44

Gansterer, Margaretha, Christian Almeder, and Richard F. Hartl. "Simulation-based optimization methods for setting production planning parameters." International Journal of Production Economics 151 (May 2014): 206–13. http://dx.doi.org/10.1016/j.ijpe.2013.10.016.

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Fernández-Reyes, Bernardo A., Ana K. Flores-González, Luis Adrian Alvarez-Lozada, et al. "The importance of simulation training in surgical sciences." International Surgery Journal 9, no. 6 (2022): 1289. http://dx.doi.org/10.18203/2349-2902.isj20221430.

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Simulators have been used throughout history to practice complicated procedures before performing them on human beings. The earliest simulation attempts were in cadavers. Donor bodies are still used for teaching and research but involve costly infrastructure, ethical and legal issues, as well as animal models. Training models need to be purposefully designed. These can be physical models, 3-D printed, simulators with virtual reality, augmented reality, or a hybrid simulation. The inert model is an alternative for animal tissue models, based on a trial-and-error method, the learning curve is ap

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Bulygina, Olga V., and Ekaterina A. Vlasova. "Features of building hybrid simulation models in Actor Pilgrim." Journal Of Applied Informatics 17, no. 1 (97) (2022): 109–16. http://dx.doi.org/10.37791/2687-0649-2022-17-1-109-116.

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In recent years, simulation has been actively used to study socio-economic processes in order to test various management decisions (for analyzing risks, projects, regional processes, logistics, etc.). Today, three simulation systems (Actor Pilgrim, AnyLogic, GPSS World), each of which has its own areas of application, are the most widespread in Russia. So, the system Actor Pilgrim is most suitable for modeling socio- economic processes. The first version of this system was developed by a group led by Professor Alexander Anatolyevich Yemelyanov more than 35 years ago to solve experimental probl

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Backhaus, Klaus, Robert Wilken, and Thomas Hillig. "Predicting Purchase Decisions with Different Conjoint Analysis Methods: A Monte Carlo Simulation." International Journal of Market Research 49, no. 3 (2007): 341–64. http://dx.doi.org/10.1177/147078530704900306.

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Armstrong, Glen W. "Book Reviews: Decision Methods for Forest Resource Management." Forest Science 49, no. 5 (2003): 815. http://dx.doi.org/10.1093/forestscience/49.5.815.

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Abstract Decision Methods for Forest Resource Management is a book that describes several modeling approaches that natural resource managers use to help guide decisions. Nine of its 19 chapters are devoted to linear programming and its application to modeling even-aged and uneven-aged forest management. The book also covers goal programming, integer programming, CPM/PERT, dynamic programming, deterministic and stochastic simulation, Markov chains and decision processes, investment analysis, and econometric analysis and forecasting. The examples and the problems presented are relevant to forest

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Dufresne, François, and Hans U. Gerber. "Three Methods to Calculate the Probability of Ruin." ASTIN Bulletin 19, no. 1 (1989): 71–90. http://dx.doi.org/10.2143/ast.19.1.2014916.

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AbstractThe first method, essentially due to GOOVAERTS and DE VYLDER, uses the connection between the probability of ruin and the maximal aggregate loss random variable, and the fact that the latter has a compound geometric distribution. For the second method, the claim amount distribution is supposed to be a combination of exponential or translated exponential distributions. Then the probability of ruin can be calculated in a transparent fashion; the main problem is to determine the nontrivial roots of the equation that defines the adjustment coefficient. For the third method one observes tha

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Riadynska, I. A. "The Innovative Teaching Methods in the Study of Economic Disciplines in Higher Education Institutions of Ukraine." Business Inform 1, no. 516 (2021): 134–38. http://dx.doi.org/10.32983/2222-4459-2021-1-134-138.

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The article is primarily aimed at considering the essence and significance of innovative methods of teaching economic disciplines in higher education institutions, their use in professional activities with students during educational work. The article considers innovative methods of learning in the teaching of economic disciplines used in the system of modern educational process in higher education institutions of Ukraine. The peculiarities of forms and methods of innovative learning are defined, the specifics of their use during classes with students in economic disciplines are covered. The a

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