
doi: 10.2307/1402964
Summary This paper surveys time-series methods developed and used in the fields of statistics, engineering, operation research and economics. It will describe each of the major methods now in existence and synthesize them into an integrated whole by pointing out similarities and differences existing among them. The applicability of the different methods to various real-life requirements will be discussed and further research needs will be raised.
Time series, auto-correlation, regression, etc. in statistics (GARCH), Inference from stochastic processes and spectral analysis, Inference from stochastic processes and prediction
Time series, auto-correlation, regression, etc. in statistics (GARCH), Inference from stochastic processes and spectral analysis, Inference from stochastic processes and prediction
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 30 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
