On the Detection of Contemporaneous Relationships Among Multiple Time Series |
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Authors: | Johannes Ledolter |
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Affiliation: | 1. Department of Management Sciences , University of Iowa , Iowa City, Iowa, USA;2. Department of Statistics and Mathematics , Vienna University of Economics and Business , Vienna, Austria johannes-ledolter@uiowa.edu |
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Abstract: | A study is carried out of a sampling from a half-normal and exponential distributions to develop a test of hypothesis on the mean. Although these distributions are similar, the corresponding uniformly most paerful test statistics are different. The exact distributions of these statistics my be written in terms of the incomplete gamma function. If the experimental data my be fitted by either distributions, it is advisable to carryout the test based on the half-normal distribution as it is generally more powerful than the one based on the exponential one. |
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Keywords: | Autoregressive models Canonical analysis Cointegration Contemporaneous time series relationships Multiple time series Non stationarity |
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