In this article, the nonparametric version of estimation equations is investigated, which uniÿes various statistical methodologies, for both nonlinear discrete and continuous time series data. The weak consistency and asymptotic normality of the resulting estimators are established. Under this gener
Data Estimation and the Colour of Time Series
✍ Scribed by ISTVÁN SCHEURING; ORSOLYA E. ZEÖLD
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 307 KB
- Volume
- 213
- Category
- Article
- ISSN
- 0022-5193
No coin nor oath required. For personal study only.
✦ Synopsis
There has been a long debate on the source of temporal #uctuations in natural population densities. The di$culty is that unpredictable irregularities might be attributed either to external environmental factors or to chaotic dynamics of populations, or even to the interaction of these two factors. Some years ago Cohen (1995) pointed out that real time series follow redshifted Fourier power spectra, while the simplest chaotic population dynamical models are mostly blueshifted. Since then, the controversy has focused on comparisons of Fourier spectra originating from di!erent models and data. Here, we show experimentally that estimation process by human observers shifts power spectra to the red. This result implies that because of estimation distortion, real population data must be less redshifted than many recorded time series suggest.
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