Measuring spatial spreading in recurrent time series
β Scribed by Richard Wayland; David Bromley; Douglas Pickett; Anthony Passamante
- Publisher
- Elsevier Science
- Year
- 1994
- Tongue
- English
- Weight
- 727 KB
- Volume
- 79
- Category
- Article
- ISSN
- 0167-2789
No coin nor oath required. For personal study only.
β¦ Synopsis
The notion of spatial spreading in a recurrent time series is developed. We first define the spatial spreading for a random displacement field. A prescription is then given for constructing a family of displacement fields from a scalar time series. Theoretical results for Gaussian time series are presented. Several examples, using both simulated and real data, are discussed.
π SIMILAR VOLUMES
The point spread function is a fundamental property of magnetic resonance imaging methods that affects image quality and spatial resolution. The point spread function is difficult to measure precisely in magnetic resonance even with the use of carefully designed phantoms, and it is difficult to calc
Although prior research documents an inter-temporal decline in earnings relevance for equity investors, precise evidence has not been collected on why the decline has occurred. We document a substantial decline in the persistence of quarterly accounting earnings over a 35-year period for a sample of