Sas 简明教程

SAS - Simulations

模拟是一种计算技术，它对许多不同的随机样本使用重复计算来估计统计量。使用 SAS，我们可以模拟复杂的数据，这些数据在现实世界系统中具有特定的统计特性。我们使用软件来构建系统模型，并以数值方式生成数据，以更好地了解现实世界系统的行为。设计计算机模拟模型的艺术的一部分是决定哪些方面的生活系统有必要包含在模型中，以便根据该模型生成的数据可以用来做出有效的决策。由于这种复杂性，SAS 专门为模拟提供了软件组件。

Simulation is a computational technique that uses repeating computation on many different random samples in order to estimate a statistical quantity. Using SAS we can simulate complex data that have specified statistical properties in real-world system. We use software to build a model of the system and numerically generate data that you can be used for a better understanding of the behavior of the real-world system. Part of the art of designing a computer simulation model is deciding which aspects of the real-life system are necessary to include in the model so that the data generated by the model can be used to make effective decisions. Because of this complexity, SAS has a dedicated software component for Simulation.

用于创建 SAS 模拟的 SAS 软件组件称为 SAS Simulation Studio 。其图形用户界面提供了一整套用于构建、执行和分析离散事件模拟模型结果的工具。

The SAS software component which is used in creating SAS simulation is called SAS Simulation Studio. Its graphical user interface provides a full set of tools for building, executing, and analyzing the results of discrete event simulation models.

可对 SAS 模拟应用的不同类型的统计分布如下：

Different types of statistical distributions on which SAS simulation can be applied is listed below.

  1. SIMULATE DATA FROM A CONTINUOUS DISTRIBUTION

  2. SIMULATE DATA FROM A DISCRETE DISTRIBUTION

  3. SIMULATE DATA FROM A MIXTURE OF DISTRIBUTIONS

  4. SIMULATE DATA FROM A COMPLEX DISTRIBUTION

  5. SIMULATE DATA FROM A MULTIVARIATE DISTRIBUTION

  6. APPROXIMATE A SAMPLING DISTRIBUTION

  7. ASSESS REGRESSION ESTIMATES