FOURIER SERIES ESTIMATION FOR LENGTH BIASED DATA
β Scribed by Jones, M.C. ;Karunamuni, R.J.
- Book ID
- 110969023
- Publisher
- Wiley (Blackwell Publishing)
- Year
- 1997
- Tongue
- English
- Weight
- 544 KB
- Volume
- 39
- Category
- Article
- ISSN
- 0004-9581
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Biased observations arise when a sampling procedure chooses an observation with probability that depends on the value of the observation. This is an interesting sampling procedure that favors some observations and neglects others. This article presents results on sharp minimax estimation of nonparam
## Abstract It is well known that the score function is the optimal estimating function among all regular unbiased estimating functions (Godambe, 1960). In the presence of incomplete data such as missing data or length biased sampling data, Horvitz and Thompson's (1952) method is an effective way o