generated quantity

简明释义

被产生的量

英英释义

例句

1.To improve efficiency, we must track the generated quantity 生成的数量 of output per hour.

为了提高效率，我们必须跟踪每小时的生成的数量产出。

2.We need to analyze the generated quantity 生成的数量 of waste produced during the manufacturing process.

我们需要分析制造过程中产生的生成的数量废物。

3.The report outlines the generated quantity 生成的数量 of leads from our marketing campaign.

报告概述了我们营销活动中产生的生成的数量潜在客户。

4.The model calculates the generated quantity 生成的数量 of sales based on previous data.

该模型根据之前的数据计算销售的生成的数量。

5.In our simulation, the generated quantity 生成的数量 of energy was much higher than expected.

在我们的模拟中，能量的生成的数量远高于预期。

作文

In the realm of data analysis and modeling, the term generated quantity plays a crucial role in understanding the relationships between variables and the outcomes of various processes. A generated quantity refers to any value or metric that is computed as a result of a statistical model or simulation. This could include predictions, probabilities, or any other derived metrics that help researchers and analysts make informed decisions based on their data. For instance, consider a scenario where a company wants to predict its sales for the upcoming quarter. By using historical sales data and applying a statistical model, the company can generate a generated quantity that represents the expected sales figures. This generated quantity not only provides insight into potential revenue but also helps in planning inventory, staffing, and marketing strategies.Moreover, generated quantities are essential in the field of Bayesian statistics, where they are often used to summarize posterior distributions. In this context, a generated quantity might represent the mean, median, or credible intervals of a parameter of interest after observing the data. These summaries allow practitioners to quantify uncertainty and make probabilistic statements about their estimates.The importance of generated quantities extends beyond mere calculations; they serve as a bridge between theoretical models and real-world applications. For example, in environmental science, models predicting climate change impacts often produce generated quantities such as temperature changes or sea-level rise projections. Policymakers rely on these generated quantities to formulate strategies for mitigation and adaptation, emphasizing the practical implications of statistical modeling.Furthermore, in machine learning, generated quantities can refer to outputs from algorithms that have been trained on datasets. For instance, when a neural network is trained to recognize images, the output layer might produce a generated quantity that indicates the probability of an image belonging to a particular class. This generated quantity is critical for making decisions in applications ranging from medical diagnostics to autonomous vehicles.In summary, the concept of generated quantity encapsulates a wide array of calculated metrics that arise from statistical models and simulations. Understanding generated quantities is vital for anyone involved in data-driven decision-making, as they provide the necessary insights to navigate complex problems. As we continue to advance in technology and data analytics, the relevance of generated quantities will only increase, underscoring their significance in both academic research and practical applications.

在数据分析和建模领域，术语生成量在理解变量之间的关系以及各种过程的结果方面发挥着至关重要的作用。生成量是指作为统计模型或模拟结果计算出的任何值或指标。这可能包括预测、概率或任何其他派生指标，这些指标帮助研究人员和分析师基于数据做出明智的决策。例如，考虑一个公司希望预测即将到来的季度销售额的场景。通过使用历史销售数据并应用统计模型，公司可以生成一个生成量，表示预期的销售数字。这个生成量不仅提供了潜在收入的洞察，还帮助规划库存、员工和市场策略。此外，生成量在贝叶斯统计领域中至关重要，通常用于总结后验分布。在这种情况下，生成量可能表示在观察数据后感兴趣参数的均值、中位数或可信区间。这些摘要使从业者能够量化不确定性，并对其估计做出概率性陈述。生成量的重要性超越了简单的计算；它们在理论模型与现实应用之间架起了一座桥梁。例如，在环境科学中，预测气候变化影响的模型通常会产生生成量，如温度变化或海平面上升的预测。政策制定者依赖这些生成量来制定减缓和适应的策略，强调统计建模的实际意义。此外，在机器学习中，生成量可以指从经过训练的数据集的算法输出。例如，当一个神经网络被训练来识别图像时，输出层可能产生一个生成量，表示图像属于特定类别的概率。这个生成量对于在医疗诊断到自动驾驶汽车等应用中做出决策至关重要。总之，生成量的概念涵盖了从统计模型和模拟中产生的各种计算指标。理解生成量对于任何参与数据驱动决策的人来说都是至关重要的，因为它们提供了必要的洞察力，以应对复杂问题。随着我们在技术和数据分析方面的不断进步，生成量的相关性只会增加，突显其在学术研究和实际应用中的重要性。