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Detection of Non-Linearity in the Time Series Using BDS Test

机译:使用BDS测试检测时间序列中的非线性

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The need to determine the status of the series is a very important issue that must be addressed before embarking on the statistical analysis of such series; this paper therefore, examines the status of the commercial bank savings in Nigeria. From the analysis we discovered that at level the series was not stationary as shown in figure1, however at the first difference (figure2) the series was stationary, so also the unit root test applied shows that at level the series was not stationary (table1) but at first difference it was stationary (table2) and this actually paved way for the application of Brock- Dechert-Scheinkman (table3) test which actually revealed that this series could be best estimated by the use of non-linear model as the null hypothesis of linearity of the series was out rightly rejected and the alternative was accepted. The importance of this result lies on the fact that it guides against model misspecification as using linear model to estimate the parameter of the non-linear model will result in model judgmental error.
机译:确定系列状况的需要是一个非常重要的问题,在着手对该系列进行统计分析之前必须解决该问题;因此,本文研究了尼日利亚商业银行储蓄的状况。从分析中我们发现,如图1所示,该系列在水平上不是平稳的,但是在第一个差异(图2)处该系列是静止的,因此所应用的单位根检验也表明该系列在水平上不是平稳的(表1)但是首先不同的是它是平稳的(表2),这实际上为应用Brock-Dechert-Scheinkman(表3)铺平了道路,该测试实际上揭示了可以通过使用非线性模型作为原假设来最好地估计该系列。该系列的线性度被正确拒绝,替代方案被接受。该结果的重要性在于,它可以防止模型错误指定,因为使用线性模型来估计非线性模型的参数将导致模型判断错误。

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