A Course on Small Area Estimation and Mixed Models : Methods, Theory and Applications in R / Domingo Morales ... [et al.]

• Pubblicazione: Cham, : Springer, 2021
• Descrizione fisica: xx, 599 p. : ill. ; 24 cm
• Soggetto topico: 62-XX - Statistics [MSC 2020]; 62J05 - Linear regression; mixed models [MSC 2020]; 62P20 - Applications of statistics to economics [MSC 2020]; 62P25 - Applications of statistics to social sciences [MSC 2020]; 62D05 - Sampling theory, sample surveys [MSC 2020]
• Soggetto non controllato: Best linear unbiased prediction; Design-based estimation; Empirical best prediction; Estimation of socioeconomic indicators; Generalized linear mixed model; Labor markets surveys; Linear Models; Linear mixed models; Living conditions surveys; Mean squared error estimation; Nested error regression models; Prediction Theory; R code; R packages for SAE; Small area estimation; Survey Methodology
• Persona (resp. second.): Morales, Domingo
• Titolo autorizzato: Course on Small Area Estimation and Mixed Models
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN0274507
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: https://doi.org/10.1007/978-3-030-63757-6
• Serie: Statistics for social and behavioral sciences Berlin [etc.] . -Springer