We explore the effects of measurement error in a time-varying covariate for a mixed model applied to a longitudinal study of plasma levels and dietary intake of beta-carotene. We derive a simple expression for the bias of large sample estimates of the variance of random effects in a longitudinal mod
โฆ LIBER โฆ
Model parameter and modelling error identification in non-linear conceptual models from bounded-error data
โ Scribed by K. J. Keesman
- Publisher
- John Wiley and Sons
- Year
- 1995
- Tongue
- English
- Weight
- 327 KB
- Volume
- 6
- Category
- Article
- ISSN
- 1180-4009
No coin nor oath required. For personal study only.
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## Abstract Over time, economic statistics are refined. This implies that data measuring recent economic events are typically less reliable than older data. Such time variation in measurement error affects optimal forecasts. Measurement error, and its time variation, are of course unobserved. Our c