Small Sample Bias and Variance of Lincoln-Petersen and Bailey Estimators
โ Scribed by D. G. Bonett
- Publisher
- John Wiley and Sons
- Year
- 2007
- Tongue
- English
- Weight
- 267 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0323-3847
No coin nor oath required. For personal study only.
โฆ Synopsis
estimators of an unknown population size were compared in a computer simulation of capture-recapture sampling with replacement from small populations. The Bailey estimator was negatively bissed and had smaller variance than the Petenten estimator. The Petersen eatimator tended to be positively biased. The Lincoln-Peteraen variance estimator tended to be positively biased while the Bailey variance estimator was negatively biased.
๐ SIMILAR VOLUMES
Using Monte Carlo simulations we study the small sample performance of the traditional TSLS, the LIML and four new jackknife IV estimators when the instruments are weak. We ยฎnd that the new estimators and LIML have a smaller bias but a larger variance than the TSLS. In terms of root mean square erro
Estimation of parametere in human genetics is u~ually performed by Maximum Likelihood methods for large samples relying on asymptotio results. With the aim of evaluating the importance of the bias resalting from ample size, two eeta of human family data have been analysed. The bias is not very impor