代写论文：风险预测
与预测有关的风险取决于历史数据的事实和数字。最终，用户从不同来源准备，这些来源是从主要来源或次要来源收集的，或者从这两个来源获得的被称为混合数据收集技术和分析（Hampton，2011）。数据可能包含虚假的事实和数字，这可能会导致虚假的收益报告，最终降低预测技术成功的可能性。因此，从确定的和真实的来源准备和预测历史数据是非常重要的，这将导致对事实和数字的预测更加准确和精确。因此，很明显，预测风险是经过深思熟虑的一个重要的初始步骤，需要注意。它还有助于提供和保护历史数据的完整性以及与之相关的主要收益报告，从而使用户减轻与预测工具和技术相关的风险。
预测取决于之前记录生成和准备的数据和变量（Guerard，2013）。采样，概率，数据分析等预测技术有助于将历史数据准备和发布为预测的事实和数据。最终导致风险的减轻，另一个可能导致收益数据受阻的关键因素，导致与预测数字相关的虚假报告，从而导致与收益幅度相关的风险增加。因此，用户准备和记录历史数据以避免未来风险以及伪造预测报告的另一个漏洞非常重要。因此，预测风险的缓解在确定盈余裕度方面是非常重要的，因此有助于提供准确和精确的计算方法。
代写论文：风险预测
The risk related to the forecasting is dependent on the facts and figure of the historical data. Eventually, the user prepares from a different source which is either collected from the primary source or the secondary sources or obtained from both the sources are referred as the mixed data collection techniques and analysis (Hampton, 2011). The data may contain false facts and figure which might lead to the false earning report which eventually decreases the probability of success of the forecasting techniques. Therefore it is very much essential to prepare and project the historical data from defined and authentic sources which will lead to the forecasting of the facts and figure more accurate and precise. Therefore it is very evident that forecasting risk is well thought-out to be one of the important and initial steps which need to be taken care. It also helps to provide and protect the integrity of the historical data along with the principal earning report related to it and thus making the user mitigate the risk associated with the forecasting tools and techniques.
Forecasting is dependent on the data and variable which are generated and prepared by the previous recording (Guerard, 2013). The forecasting techniques such as sampling, probability, data analysis, etc. help to prepare and publish the historical data into forecasted facts and figures. It eventually leads to the mitigation of the risk and another key factor which may lead the hinder of the earning figures and leads to the false report related to the forecasted figure and henceforth, the increase in the risk associated with the earning margin is seen. Therefore it is very much essential for the users to prepare and record the historical data to avoid future risk and another loophole in the falsification of the forecasted report. Therefore the mitigation of the forecasting risk is well thought-out to be significant in determining the earning margin, and henceforth, it helps to provide the techniques with accuracy and precise calculation.
