### 统计代写|决策与风险作业代写decision and risk代考|Defining Indicators for Risk Assessment

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• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (Generalized) Linear Models 广义线性模型
• Statistical Machine Learning 统计机器学习
• Longitudinal Data Analysis 纵向数据分析
• Foundations of Data Science 数据科学基础

## 统计代写|决策与风险作业代写decision and risk代考|Defining Indicators for Risk Assessment

The Romanian manufacturing industry has an important share in the national economy. The number of employees is increasing, and the attractiveness of this field is high. The situation of the Romanian industries is presented in Table 1.4. For the calculation of the value indices, the year 2015 was used as a reference. The number of enterprises by fields of activity is presented in Appendix 1. These data were collected from the National Institute of Statistics, being public data, displayed in the statistical database. The manufacturing industry has an important share in the economic activity, presenting a series of innovations and a high number of jobs (Institutul Național de Statistică 2019).

From the perspective of the number of employees, the complete situation is presented in Appendix 2. For industry, the situation of employees is presented in Table 1.5. The manufacturing industry registers the most employees.

As a result, the manufacturing industry is an important one, being selected for the study of indicators for risk assessment. Below, Table $1.6$, is the result of the stages of identification of the indicators based on the three stages carried out: (a) the systemic mapping study through the study of 10 technical reports in the automotive field; (b) definition of indicators; (c) the proposal of the chair for evaluation.

These are the general risk categories that have been identified in the reports of companies in the automotive industry. These are part of an exploratory study, being a reference for further developments.

## 统计代写|决策与风险作业代写decision and risk代考|Case Study

To highlight the case study, this section presents in the first part how to apply these indicators, and in the second part are evaluated a series of organizational models for risk assessment. The 20 indicators proposed in the next section are used for one of the large companies operating in the automotive industry. The evaluated company carries out its activity globally, being one of the World leaders in the field of car construction. The following severity classes and probability classes are used to evaluate the proposed indicators. These are presented in Tables $1.7$ and $1.8$.

The definition of risk levels is presented in Table 1.9. These levels are used in the risk matrix that is used for risk communication. The level of risk is calculated as the product between the severity class and the probability class.

The following is an example of the use of risk assessors. This activity is presented in Table 1.10. The severity classes and the probability classes defined above were used. Depending on the level of risk, the anticipated actions are initiated.

Organizations depending on the field of activity can select the application of a qualitative or quantitative method. Evaluating organizational models for risk assessment can highlight a few examples. ${ }^{1}$

(a) OnRisk-it is an online platform for identifying technical and technological risks. The development of this risk assessment platform that includes innovative elements and reduced resources has the following main purposes: complete description of the evaluated object, detailed planning of the whole process, communication between the company’s stakeholders, identification of hazards within the evaluated system, complete documentation of the evaluation process, interpretation of the obtained results, continuous monitoring and control (Ivascu et al. 2015; Gaureanu et al. 2016).
(b) RiskWatch-it is available online and offers solutions for different industries. It integrates several graphical features that can be easily interpreted (Fabbri $2020)$.
(c) Goat-online platform for risk assessment. The risk assessment is based on the probability of occurrence and targets a few areas of activity (Aven 2016).
(d) OiRA-interactive platform for occupational risk assessment. This platform covers several areas of activity and an evaluation is performed based on a checklist (Dudley et al. 2007; Василев 2014; Vassilev and Dimitrova 2015; Slowikowski et al. 2017).

## 统计代写|决策与风险作业代写decision and risk代考|Conclusions

Risk is present in all companies and must be addressed correctly to contribute to the achievement of organizational objectives. It has a positive connotation and a negative connotation. There are several methods, models, frameworks, and techniques that can be used in the risk management process. Their application depends on the management team and on certain particularities of the field of activity. A correct approach to organizational risks contributes to the identification of opportunities that can improve the organizational situation.

## 统计代写|决策与风险作业代写decision and risk代考|Case Study

(a) OnRisk-it 是一个识别技术和技术风险的在线平台。开发这个包含创新要素和减少资源的风险评估平台有以下主要目的：完整描述评估对象，详细规划整个过程，公司利益相关者之间的沟通，识别评估系统内的危害，完整的文档评估过程、获得结果的解释、持续监测和控制（Ivascu 等人，2015 年；Gaureanu 等人，2016 年）。
(b) RiskWatch-它可在线获取，并为不同行业提供解决方案。它集成了几个易于解释的图形特征（Fabbri2020).
(c) 用于风险评估的山羊在线平台。风险评估基于发生概率并针对一些活动领域（Aven 2016）。
(d) 职业风险评估的 OiRA 互动平台。该平台涵盖多个活动领域，并根据清单进行评估（Dudley 等人 2007；Василев 2014；Vassilev 和 Dimitrova 2015；Slowikowski 等人 2017）。

## 广义线性模型代考

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## MATLAB代写

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