Abstract
A general procedure is found for constructing good unbiased linear estimators of the location and scale parameters of a distribution for use with an uncensored sample of size n. It is presupposed that the coefficients of the best linear estimates are available for an uncensored sample of size m < n for the distribution under investigation. The coefficients of the proposed estimators are obtained as linear combinations of these with the aid of tabled values of the hypergeometric probability function.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 543-552 |
| Number of pages | 10 |
| Journal | Technometrics |
| Volume | 7 |
| Issue number | 4 |
| DOIs | |
| State | Published - Jan 1 1965 |
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Modeling and Simulation
- Applied Mathematics
Fingerprint
Dive into the research topics of 'The Construction of Good Linear Unbiased Estimates from the Best Linear Estimates for a Smaller Sample Size'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver