Selection of Covariates in Small Area Estimation with Multilevel Models

Czasopismo

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• Autorzy: Maria Chiara Pagliarella , Carlo Russo , Renato Salvatore
• Języki publikacji: EN

Abstrakty

EN

Using data collections from common sample surveys, researchers deal with design-based effective statistics, but estimates are affected by a substantial loss of precision at small area level. Models can easily accommodate statistical relations between survey parameters and area predictors, in order to provide more efficient area-level statistics. Some problems arise when researchers try to exploit at one's best the complex statistical information in the available survey data. Authors discuss this problem of exploiting all the available data at unit and area level simultaneously in a single two-level model.

Słowa kluczowe

EN

Covariance matrix; Small area estimates; Data analysis

PL

Macierz kowariancji; Statystyka małych obszarów; Analiza danych

• Czasopismo: ---
• Strony: 76--87

Twórcy

autor

Maria Chiara Pagliarella

• University of Cassino, Italy

autor

Carlo Russo

• University of Cassino, Italy

autor

Renato Salvatore

• University of Cassino, Italy

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