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SARIMA Analysis and Automated Model Reports with BETS, an R Package

机译:使用BETS(R软件包)进行SARIMA分析和自动模型报告

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This article aims to demonstrate how the powerful features of the R package BETS can be applied to SARIMA time series analysis. BETS provides not only thousands of Brazilian economic time series from different institutions, but also a range of analytical tools, and educational resources. In particular, BETS is capable of generating automated model reports for any given time series. These reports rely on a single function call and are able to build three types of models (SARIMA being one of them). The functions need few inputs and output rich content. The output varies according to the inputs and usually consists of a summary of the series properties, step-by-step explanations on how the model was developed, predictions made by the model, and a file containing these predictions. This work focuses on this feature and several other BETS functions that are designed to help in modeling time series. We present them in a thorough case study: the SARIMA approach to model and forecast the Brazilian production of intermediate goods index series.
机译:本文旨在演示如何将R包BETS的强大功能应用于SARIMA时间序列分析。 BETS不仅提供来自不同机构的数千个巴西经济时间序列,还提供一系列分析工具和教育资源。特别是,BETS能够针对任何给定的时间序列生成自动模型报告。这些报告依赖于单个函数调用,并且能够构建三种类型的模型(SARIMA是其中之一)。这些功能需要很少的输入和输出丰富的内容。输出根据输入而有所不同,通常包括系列属性的摘要,有关如何开发模型的逐步说明,模型做出的预测以及包含这些预测的文件。这项工作着重于此功能以及旨在帮助对时间序列建模的其他几个BETS功能。我们在一个详尽的案例研究中介绍它们:SARIMA方法用于建模和预测巴西中间产品指数系列的生产。

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