aggregated estimate

简明释义

总合式估计;

英英释义

例句

1.We need to revise our aggregated estimate 汇总估算 after reviewing the latest data.

在审查最新数据后，我们需要修订我们的汇总估算。

2.The aggregated estimate 汇总估算 indicates that we will need additional resources to complete the project.

该汇总估算表明我们需要额外的资源来完成项目。

3.The aggregated estimate 汇总估算 provided by the team helped in making informed decisions.

团队提供的汇总估算有助于做出明智的决策。

4.The project's budget was based on an aggregated estimate 汇总估算 of all the costs involved.

该项目的预算是基于所有相关费用的汇总估算。

5.According to the aggregated estimate 汇总估算, the total revenue for the year is expected to exceed $1 million.

根据汇总估算，预计今年的总收入将超过100万美元。

作文

In the field of data analysis, the term aggregated estimate refers to a collective assessment derived from multiple individual estimates or data points. This approach is essential in various domains, such as economics, healthcare, and environmental studies, where understanding the overall trend or average result is crucial for informed decision-making. By combining diverse data sources, researchers can create a more comprehensive picture that reflects the reality of the situation being studied.For instance, consider a public health study aimed at understanding the prevalence of a certain disease in a population. Researchers may collect data from various hospitals, clinics, and surveys. Each of these sources may provide individual estimates of disease prevalence. However, to gain a clearer understanding of the overall situation, researchers would compute an aggregated estimate by averaging these individual figures. This not only helps in obtaining a more accurate representation of the disease's impact but also aids in resource allocation and policy formulation.Moreover, the use of aggregated estimates is prevalent in economic forecasting. Economists often rely on numerous indicators, such as employment rates, consumer spending, and inflation rates, to predict future economic conditions. By aggregating these estimates, they can offer a more reliable forecast that considers various factors affecting the economy. This holistic view is vital for governments and businesses alike, as it assists them in making strategic decisions based on anticipated economic trends.Furthermore, in environmental studies, scientists frequently utilize aggregated estimates to assess the impact of climate change. For example, researchers may gather temperature data from different regions and seasons. By creating an aggregated estimate of temperature changes over time, they can identify significant trends and make predictions about future climate scenarios. This information is critical for policymakers and environmental organizations working to mitigate the effects of climate change.It is important to note that while aggregated estimates provide valuable insights, they must be interpreted cautiously. The process of aggregation can sometimes mask underlying variations or disparities within the data. For instance, if one region has a significantly higher disease prevalence than others, simply averaging the figures may lead to an underestimation of the problem in that specific area. Therefore, it is essential for researchers to complement aggregated estimates with detailed analyses that consider local contexts and variations.In conclusion, the concept of aggregated estimate plays a pivotal role in data analysis across various fields. By combining individual estimates into a single, comprehensive figure, researchers can derive insights that inform decision-making and policy development. However, it is crucial to remain aware of the limitations of aggregation and to ensure that the nuances of the data are not overlooked. Ultimately, the effective use of aggregated estimates can lead to more informed and impactful outcomes in research and practice.

在数据分析领域，术语aggregated estimate指的是从多个个体估计或数据点中得出的集体评估。这种方法在经济、医疗保健和环境研究等多个领域至关重要，因为理解整体趋势或平均结果对于明智的决策至关重要。通过结合多样的数据源，研究人员可以创建一个更全面的图景，反映所研究情况的现实。例如，考虑一项旨在了解某种疾病在一个人群中流行程度的公共卫生研究。研究人员可能会从不同的医院、诊所和调查中收集数据。每个数据源可能提供个体的疾病流行估计。然而，为了更清楚地了解整体情况，研究人员会通过对这些个体数字进行平均来计算aggregated estimate。这不仅有助于获得疾病影响的更准确表现，还有助于资源分配和政策制定。此外，aggregated estimates的使用在经济预测中也很普遍。经济学家通常依赖多个指标，如就业率、消费者支出和通货膨胀率，来预测未来的经济状况。通过聚合这些估计，他们可以提供更可靠的预测，考虑影响经济的各种因素。这种整体视角对于政府和企业而言至关重要，因为它帮助他们根据预期的经济趋势做出战略决策。此外，在环境研究中，科学家们经常利用aggregated estimates来评估气候变化的影响。例如，研究人员可能从不同地区和季节收集温度数据。通过创建一个关于温度变化的aggregated estimate，他们可以识别显著的趋势并预测未来的气候情景。这些信息对于努力减轻气候变化影响的政策制定者和环境组织至关重要。需要注意的是，虽然aggregated estimates提供了宝贵的见解，但必须谨慎解读。聚合过程有时可能掩盖数据中的潜在变化或差异。例如，如果某个地区的疾病流行率明显高于其他地区，仅仅对这些数字进行平均可能会导致对该特定区域问题的低估。因此，研究人员必须用考虑地方背景和变化的详细分析来补充aggregated estimates。总之，aggregated estimate的概念在各个领域的数据分析中发挥着关键作用。通过将个体估计合并为一个综合数字，研究人员可以得出有助于决策和政策发展的见解。然而，重要的是要意识到聚合的局限性，并确保数据的细微差别不会被忽视。最终，有效使用aggregated estimates可以在研究和实践中带来更明智和更有影响力的结果。