rolling error

简明释义

摇摆误差

英英释义

例句

1.The software update fixed the rolling error 滚动误差 that was affecting data accuracy.

软件更新修复了影响数据准确性的滚动误差。

2.During the simulation, we noticed a significant rolling error 滚动误差 that skewed our results.

在模拟过程中，我们注意到一个显著的滚动误差导致我们的结果出现偏差。

3.To improve precision, we need to calibrate the device to correct the rolling error 滚动误差.

为了提高精度，我们需要校准设备以纠正滚动误差。

4.The rolling error 滚动误差 in the GPS system can lead to navigation inaccuracies.

GPS系统中的滚动误差可能导致导航不准确。

5.Engineers are working to minimize the rolling error 滚动误差 in the manufacturing process.

工程师们正在努力减少制造过程中出现的滚动误差。

作文

In the world of technology and data analysis, precision is paramount. One of the critical concepts that professionals must understand is the idea of a rolling error. A rolling error refers to the cumulative error that occurs in a system over time, particularly when measurements or calculations are continuously updated. This concept is essential in various fields, including engineering, finance, and scientific research, where accurate data is crucial for making informed decisions.To illustrate the significance of rolling error, consider a scenario in a manufacturing plant where machines are calibrated to produce parts with specific dimensions. If the calibration process has a slight error, this miscalibration can lead to parts being consistently produced with incorrect dimensions. As production continues, this rolling error accumulates, resulting in a significant deviation from the desired specifications. Eventually, the cumulative effect of this rolling error may lead to substantial financial losses and a damaged reputation for the company.Moreover, in the realm of finance, analysts often deal with models that predict market trends. These models rely on historical data, which can be subject to rolling errors. If an analyst fails to account for these errors, it may lead to incorrect predictions and poor investment decisions. For instance, if a model consistently underestimates the volatility of a stock due to a rolling error, investors may be misled into believing that a particular stock is a safer investment than it truly is.In scientific research, the implications of rolling error can be even more profound. Researchers often conduct experiments that require precise measurements. If there is a systematic error in the measurement tools, this rolling error can skew results over time, leading researchers to draw false conclusions. For example, in a clinical trial for a new medication, if the dosage measurements are consistently off due to a rolling error, the effectiveness of the drug may be misrepresented, potentially endangering patients' lives.To mitigate the effects of rolling error, it is crucial for professionals to implement robust quality control measures. Regular calibration of equipment, continuous monitoring of processes, and thorough data verification can help identify and correct rolling errors before they escalate. Additionally, utilizing advanced statistical methods can aid in recognizing patterns of error over time, allowing for timely adjustments.In conclusion, understanding the concept of rolling error is vital for anyone working in fields that rely on precise data and measurements. Whether in manufacturing, finance, or scientific research, the implications of rolling error can have far-reaching consequences. By recognizing and addressing rolling errors, professionals can enhance accuracy, improve decision-making, and ultimately achieve better outcomes in their respective fields.

在科技和数据分析的世界中，精确性至关重要。专业人士必须理解的一个关键概念是滚动误差。滚动误差指的是系统随时间推移而累积的误差，特别是在测量或计算不断更新时。这个概念在多个领域中都很重要，包括工程、金融和科学研究，在这些领域中，准确的数据对于做出明智的决策至关重要。为了说明滚动误差的重要性，考虑一个制造工厂的场景，其中机器被校准以生产具有特定尺寸的零件。如果校准过程存在轻微的误差，这种误校准可能导致零件持续生产出不正确的尺寸。随着生产的继续，这个滚动误差会累积，导致与所需规格的显著偏差。最终，这种滚动误差的累积效应可能导致巨大的财务损失和公司声誉受损。此外，在金融领域，分析师通常处理预测市场趋势的模型。这些模型依赖于历史数据，而这些数据可能受到滚动误差的影响。如果分析师未能考虑这些误差，可能会导致错误的预测和不良的投资决策。例如，如果一个模型由于滚动误差持续低估某只股票的波动性，投资者可能会被误导，认为该股票比实际情况更安全。在科学研究中，滚动误差的影响可能更为深远。研究人员经常进行需要精确测量的实验。如果测量工具存在系统性误差，这种滚动误差可能会随着时间的推移扭曲结果，导致研究人员得出错误的结论。例如，在一项新的药物临床试验中，如果由于滚动误差导致剂量测量持续偏差，药物的有效性可能会被错误地表现出来，潜在地危害患者生命。为了减轻滚动误差的影响，专业人士必须实施强有力的质量控制措施。定期校准设备、持续监测过程和彻底的数据验证可以帮助识别并纠正滚动误差，防止其升级。此外，利用先进的统计方法可以帮助识别随时间推移的误差模式，从而允许及时调整。总之，理解滚动误差的概念对任何在依赖精确数据和测量的领域工作的人来说都是至关重要的。无论是在制造、金融还是科学研究中，滚动误差的影响都可能产生深远的后果。通过识别和解决滚动误差，专业人士可以提高准确性、改善决策，并最终在各自的领域取得更好的成果。