stochastically

简明释义

英[stəˈkæstɪkli]美[stoʊˈkæstɪkli]

adv. 偶估地；推测地；随机地

英英释义

单词用法

同义词

反义词

例句

1.This paper stochastically simulates these created S-shape curves during 200 years, and overlaps them to research the law of macroeconomic growth.

本文用随机的方法模拟在2 0 0年的时间里形成的这些S形曲线，再把它们迭加起来，以此研究宏观经济增长的规律。

2.Watermarks are stochastically permuted and coded by LDPC to improve the robustness against attacks.

水印嵌入之前进行随机置换与LDPC编码增强了水印抗攻击能力。

3.Methods: Selects chronic cervicitis patient 62 examples which this courtyard in January, 2010 - in October admits, divides into two groups stochastically.

方法：选取本院2010年1月-10月收治的慢性宫颈炎患者62例，随机分为两组。

4.Based on stability theory in stochastic differential equations, a sufficient condition on the existence of stochastically guaranteed cost controllers is derived.

基于随机微分方程稳定性理论，给出了随机保性能控制器存在的充分条件。

5.Divides into two groups stochastically.

随机分为两组。

6.Methods:The blood pressure of 89 clinic patients with essential hypertension was measured stochastically.

方法：对门诊就诊的89例原发性高血压患者随测血压。

7.The weather can be modeled stochastically to predict future conditions.

天气可以通过随机地建模来预测未来的情况。

8.In finance, stock prices are often assumed to move stochastically due to market volatility.

在金融中，股票价格通常被认为由于市场波动而随机地变化。

9.The results of the experiment were analyzed stochastically to account for random variations.

实验结果经过随机地分析，以考虑随机变化。

10.We used a stochastically generated model to simulate population growth in the ecosystem.

我们使用一个随机生成的模型来模拟生态系统中的人口增长。

11.The traffic flow can be predicted stochastically to improve urban planning.

交通流量可以通过随机地预测来改善城市规划。

作文

In the realm of mathematics and statistics, the concept of randomness plays a crucial role in various fields such as finance, engineering, and science. One of the key terms that emerges from this discussion is stochastically, which refers to processes that are inherently random or probabilistic in nature. Understanding how things behave stochastically can help us make better predictions and decisions in uncertain environments. For instance, consider the stock market, which is often described as behaving stochastically. Prices of stocks do not follow a predictable pattern; instead, they fluctuate based on numerous factors including market sentiment, economic indicators, and geopolitical events. When investors analyze stock trends, they often rely on models that assume prices will move stochastically. This means that while they can identify certain patterns or trends, the actual movement of stock prices remains uncertain and subject to random influences. Another area where stochastically driven processes are evident is in weather forecasting. Meteorologists use complex mathematical models to predict weather patterns, but these predictions are often made with an understanding that the atmosphere behaves stochastically. For example, while a forecast may indicate a high probability of rain tomorrow, there is still a chance that the weather could turn out differently due to unforeseen variables. This inherent uncertainty is a hallmark of stochastically modeled systems. Moreover, in the field of operations research, businesses often encounter situations that require decision-making under uncertainty. Techniques such as stochastic optimization take into account the stochastically varying nature of demand, supply, and other operational factors. By using stochastically informed models, companies can develop strategies that are more robust against the unpredictability of real-world conditions. The significance of understanding stochastically driven processes extends beyond theoretical applications; it has practical implications in our daily lives. For instance, insurance companies use stochastically based models to assess risks and set premiums. They analyze data on past claims to predict future occurrences, acknowledging that these events happen stochastically and are influenced by a multitude of factors. In conclusion, the term stochastically encapsulates the essence of randomness and uncertainty that permeates various aspects of life and science. By embracing the stochastically nature of phenomena, we can improve our understanding and ability to navigate the complexities of the world around us. Whether in finance, weather forecasting, or risk assessment, recognizing and accounting for stochastically driven processes enables us to make more informed decisions and adapt to the unpredictable nature of reality.

在数学和统计学领域，随机性的概念在金融、工程和科学等多个领域中扮演着至关重要的角色。在这个讨论中，一个关键术语是stochastically，它指的是本质上是随机或概率性过程的事物。理解事物如何以stochastically方式运作可以帮助我们在不确定的环境中做出更好的预测和决策。 例如，考虑股票市场，通常被描述为以stochastically的方式运作。股票价格并不遵循可预测的模式；相反，它们根据市场情绪、经济指标和地缘政治事件等众多因素波动。当投资者分析股票趋势时，他们通常依赖假设价格将以stochastically方式移动的模型。这意味着，尽管他们可以识别某些模式或趋势，但股票价格的实际变动仍然是不确定的，并受到随机影响的制约。 另一个明显体现stochastically驱动过程的领域是天气预报。气象学家使用复杂的数学模型来预测天气模式，但这些预测往往是在理解大气以stochastically的方式运作的情况下进行的。例如，尽管预报可能表明明天有很高的降雨概率，但由于不可预见变量的影响，天气仍有可能出现不同情况。这种固有的不确定性是以stochastically建模系统的标志。 此外，在运筹学领域，企业经常遇到需要在不确定性下进行决策的情况。诸如随机优化等技术考虑了需求、供应和其他运营因素的stochastically变化特性。通过使用基于stochastically的信息模型，公司可以制定对现实世界条件的不确定性更具韧性的战略。 理解stochastically驱动过程的重要性不仅限于理论应用；它在我们的日常生活中也具有实际意义。例如，保险公司使用基于stochastically的模型来评估风险和设定保费。他们分析过去索赔的数据，以预测未来事件的发生，承认这些事件是以stochastically方式发生的，并受到多种因素的影响。 总之，术语stochastically概括了渗透生活和科学各个方面的随机性和不确定性的本质。通过接受现象的stochastically特性，我们可以提高对周围世界复杂性的理解和应对能力。无论是在金融、天气预报还是风险评估中，认识和考虑stochastically驱动的过程使我们能够做出更明智的决策，并适应现实的不可预测性。