Higher Order Wave Equation with Logarithmic Source Term

This article deals with economic scientific research. In many practice studies, the scientists use practice ways to improve students' skills and students achievements. They are also trained in using scientific research and publishing statistical economic results. This paper gives some results using economic statistical data. Using the constructive method we focused on economic acquisition, as well as the research practices. Statistically, we show how the practical methods achieved their goals. This effective practice method requires students to understand what they know and need to learn practices, and research, with great effect in terms of scientific economics results.This article shows the methods of evaluating the success of implementing the practice method, as well as shows that many research ways need to use several assessment parameters. In our research, we give tabular results to compare the achievement of economic studies in a theoretical and practical way. Instead of developing as a modern study of international research, it is allowing the gap between students of international economics and students of international politics to grow their research wider and deeper and more impassable than ever. The results and conclusions of our paper show that their studies and scientific practice are probably explained by the opportunities for math analysis.

Section: Resultsmentioning

confidence: 95%

Scientific Results Using Statistical Data on Economic Studies

2023

“…We have tried to do more practical work on the basic predicted results and nature of international study relations in that issue area [10]. Out of several possible let me pick three specific questions to which we badly need the answers.…”

Section: Resultsmentioning

confidence: 99%

“…This means that students have theoretical and practical knowledge. Governance for sustainability: knowledge integration and multi-actor dimensions in risk management is mentioned [16]. Combining scientific learning with practical scientific studies, as well as with scientific research, can be a powerful combination to support student research.…”

Section: Resultsmentioning

confidence: 99%

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Statistical Data on Risk Management in University. Overview of Numerical Results

2023

This paper gives some results relationship between risk management and university governance. It is recommended to extend the study towards the relationship with the identity, reputation, and image of the public university. Statistically, we show how the practical methods achieved their goals. The objective of this work was to guide the establishment of a predictive model of the routes that would explain the interaction between the risk management determinants on the institutional recognition that reflects university governance.Financial institutions employ risk management to ensure system stability and protect investors' assets. In our research, we give tabular results to compare the achievement of economic studies Regulators and supervisors play an important role in establishing standards and requirements for risk management in the financial sector. In all of these contexts, risk management involves a proactive approach to anticipate and address potential threats. This includes identifying and assessing risks, implementing mitigation strategies, and preparing to deal with unforeseen situations. In addition, technology, such as data analytics and artificial intelligence, also plays an increasingly important role in improving the ability to anticipate and manage risks effectively.

“…A Statistical Method to Estimate An Unkonown Price in Financial Markets heps to understand that statistical appliacation [7]. A Survey and Statistical Data of Math Economics Applications International Relations Triple-Purpose explaine dgraphically with normal distribution ( [2], [8]) allow analysts and investors to make statistical inferences about the expected return and risk of stocks.…”

Section: Application In Technical Sock Marketmentioning

confidence: 99%

An approach to solving real-life problems using normal distribution. Approximation of results using the Lagrange-Euler method

2023