Synthetic Estimators Using Auxiliary Information in Small Domains
(Sprache: Englisch)
An unbiased estimate is obtained from a sample survey for a large area; when this estimate is used to derive estimates for sub areas on the assumption that the small areas have the same characteristics as larger area, we identify these estimates as...
Leider schon ausverkauft
versandkostenfrei
Buch
49.90 €
24 DeutschlandCard Punkte
sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenlose Rücksendung
Produktdetails
Produktinformationen zu „Synthetic Estimators Using Auxiliary Information in Small Domains “
Klappentext zu „Synthetic Estimators Using Auxiliary Information in Small Domains “
An unbiased estimate is obtained from a sample survey for a large area; when this estimate is used to derive estimates for sub areas on the assumption that the small areas have the same characteristics as larger area, we identify these estimates as synthetic estimators". One of the simplest estimators arises from the assumption that the small area mean is equal to the larger area mean. This leads to the simple synthetic estimator under simple random sampling or stratified random sampling or post stratified sampling as the case may be. Synthetic estimation may also be based on auxiliary data. Such estimators are, for example, ratio-synthetic, product -synthetic and regression - synthetic estimators.
Bibliographische Angaben
- Autor: Piyush Kant Rai
- 2014, 108 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 3848429152
- ISBN-13: 9783848429158
Sprache:
Englisch
Kommentar zu "Synthetic Estimators Using Auxiliary Information in Small Domains"
0 Gebrauchte Artikel zu „Synthetic Estimators Using Auxiliary Information in Small Domains“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Synthetic Estimators Using Auxiliary Information in Small Domains".
Kommentar verfassen