Simulation methods for mean and median bias reduction in parametric estimation
โ Scribed by J. Cabrera; G.S. Watson
- Book ID
- 104340552
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 426 KB
- Volume
- 57
- Category
- Article
- ISSN
- 0378-3758
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Accuracy of the normal approximation for Speckman's kernel smoothing estimator of the parametric component ; in the semiparametric regression model y=x { ;+ g(t)+e is studied when the bandwidth used in the estimator is selected by a general data-based method which includes such commonly used bandwid
In observational studies, investigators have no control over the treatment assignment. The treated and non-treated (that is, control) groups may have large differences on their observed covariates, and these differences can lead to biased estimates of treatment effects. Even traditional covariance a