## Abstract The article investigates different estimation techniques in the simple linear controlled calibration model and provides different types of confidence limits for the calibration estimator. In particular, Mβestimation and bootstrapping techniques are implemented to obtain estimates of reg
Asymptotic confidence intervals from a preliminary test estimator
β Scribed by S. E. Ahmed; R. J. Kulperger
- Publisher
- John Wiley and Sons
- Year
- 2007
- Tongue
- English
- Weight
- 388 KB
- Volume
- 1
- Category
- Article
- ISSN
- 1180-4009
No coin nor oath required. For personal study only.
β¦ Synopsis
A preliminary test estimator is a method of combining information from two experiments in a problem of estimating a parameter. The asymptotics of this estimator in the case of estimating a population mean is considered in a setting of a local alternative. Asymptotic confidence intervals are obtained using the asymptotic distribution.
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