Minimum distance methods based on quadratic distances for transforms in simple linear regression models.
Určenie odhadu minimálnej vzdialenosti a štatistika testu, založená na kvadratických vzdialenostiach. Odvodenie asymptotických vlastností odhadu i štatistiky. Za istých okolností možno nájsť efektívnu modifikáciu odhadu kvadratickej vzdialenosti.
Salvato in:
| Autore principale: | |
|---|---|
| Natura: | Capitolo di libro |
| Lingua: | inglese |
| Soggetti: | |
| Tags: |
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
Documenti analoghi: Minimum distance methods based on quadratic distances for transforms in simple linear regression models.
- <A> reliable data-based bandwidth selection method for kernel density estimation.
- Introduction to linear regression analysis
- Properties of the insensivity region for a linear function of the fixed effects parameters in the mixed linear model
- Computing extended maximum likelihood estimates for linear parameter models.
- Jackknifing linear estimating equations: Asymptotic theory and applications in stochastic processes.
- Statistical Methods for Social Scientists