amplitude adjusted indices

简明释义

幅度调节指数法;

英英释义

例句

1.The researchers used amplitude adjusted indices to better analyze the seismic data.

研究人员使用幅度调整指数来更好地分析地震数据。

2.By applying amplitude adjusted indices, we can improve the accuracy of our signal processing.

通过应用幅度调整指数，我们可以提高信号处理的准确性。

3.In climate studies, amplitude adjusted indices help in understanding temperature variations.

在气候研究中，幅度调整指数有助于理解温度变化。

4.The amplitude adjusted indices provided a clearer picture of the market trends.

该幅度调整指数提供了市场趋势的更清晰图景。

5.The financial analyst reported that the amplitude adjusted indices indicated a bullish market.

金融分析师报告称，幅度调整指数显示出市场看涨。

作文

In the realm of data analysis and statistics, the term amplitude adjusted indices refers to a set of metrics that have been modified to account for variations in amplitude. This concept is particularly relevant in fields such as economics, environmental science, and engineering, where fluctuations in data can significantly impact the interpretation of results. By utilizing amplitude adjusted indices, researchers can ensure that their analyses are more robust and reflective of true underlying trends rather than being skewed by outlier values or extreme variations.To understand the importance of amplitude adjusted indices, consider a scenario in environmental monitoring. Suppose researchers are studying the levels of pollutants in a river over time. If there are sporadic spikes in pollution due to industrial discharges, these spikes could distort the overall average pollution level. By applying amplitude adjusted indices, the researchers can normalize these spikes, allowing for a clearer understanding of the river's health over time. This adjustment helps in making informed decisions regarding environmental policies and conservation efforts.Moreover, in the field of finance, amplitude adjusted indices play a crucial role in analyzing market trends. Stock prices can exhibit high volatility, with significant price movements occurring within short periods. Investors and analysts often rely on various indices to gauge market performance. By employing amplitude adjusted indices, they can filter out the noise created by these fluctuations, providing a more stable view of market trends. This approach not only aids in investment decision-making but also enhances the accuracy of financial forecasts.The application of amplitude adjusted indices extends beyond environmental and financial analysis. In healthcare, for instance, researchers might track patient recovery rates after surgery. If certain patients experience unusually rapid or slow recoveries due to individual differences, these outliers could misrepresent the overall effectiveness of a treatment. By adjusting for these amplitudes, healthcare professionals can gain insights into the average recovery trajectory, which can inform clinical practices and improve patient care.It is essential to note that the process of creating amplitude adjusted indices involves sophisticated statistical techniques. Methods such as normalization, regression analysis, and smoothing algorithms are often employed to derive these indices. Each method has its own strengths and weaknesses, and the choice of technique can depend on the specific context and nature of the data being analyzed.In conclusion, the use of amplitude adjusted indices is pivotal in various fields that rely on data analysis. By accounting for amplitude variations, these indices provide a clearer and more accurate representation of trends and patterns. Whether in environmental science, finance, or healthcare, the ability to adjust for outliers and extreme values enhances the reliability of conclusions drawn from data. As we continue to collect and analyze vast amounts of information, the importance of amplitude adjusted indices will only grow, helping us make better-informed decisions based on sound statistical foundations.

在数据分析和统计学领域，术语幅度调整指数指的是一组经过修改以考虑幅度变化的指标。这个概念在经济学、环境科学和工程等领域尤其相关，因为数据中的波动可能会显著影响结果的解释。通过利用幅度调整指数，研究人员可以确保他们的分析更加稳健，反映真实的基础趋势，而不是被异常值或极端波动所扭曲。为了理解幅度调整指数的重要性，考虑一个环境监测的场景。假设研究人员正在研究河流中污染物的水平。如果由于工业排放而导致污染的偶发性激增，这些激增可能会扭曲整体的平均污染水平。通过应用幅度调整指数，研究人员可以对这些激增进行规范化，从而更清晰地理解河流的健康状况。这种调整有助于制定有关环境政策和保护工作的明智决策。此外，在金融领域，幅度调整指数在分析市场趋势中发挥着关键作用。股票价格可能表现出高度波动性，在短时间内发生显著的价格变动。投资者和分析师通常依赖各种指数来衡量市场表现。通过使用幅度调整指数，他们可以过滤掉这些波动所产生的噪音，从而提供更稳定的市场趋势视图。这种方法不仅有助于投资决策，还提高了财务预测的准确性。幅度调整指数的应用超越了环境和金融分析。在医疗保健领域，例如，研究人员可能会跟踪患者手术后的恢复率。如果某些患者由于个体差异而经历异常快速或缓慢的恢复，这些异常值可能会误导整体治疗效果的表示。通过调整这些幅度，医疗专业人员可以获得平均恢复轨迹的见解，这可以为临床实践提供信息并改善患者护理。需要注意的是，创建幅度调整指数的过程涉及复杂的统计技术。通常采用归一化、回归分析和平滑算法等方法来推导这些指数。每种方法都有其自身的优缺点，选择技术可能取决于特定上下文和所分析数据的性质。总之，在依赖数据分析的各个领域，使用幅度调整指数是至关重要的。通过考虑幅度变化，这些指数提供了更清晰、更准确的趋势和模式表示。无论是在环境科学、金融还是医疗保健领域，能够调整异常值和极端值的能力增强了从数据得出的结论的可靠性。随着我们继续收集和分析大量信息，幅度调整指数的重要性只会增加，帮助我们基于可靠的统计基础做出更明智的决策。