A course on small area estimation and mixed models
Small area estimation (SAE) is a branch of statistical science that combines methods and
tools of sampling and inference in finite populations, statistical models with random effects …
tools of sampling and inference in finite populations, statistical models with random effects …
Small area estimation under a temporal bivariate area-level linear mixed model with independent time effects
R Benavent, D Morales - Statistical Methods & Applications, 2021 - Springer
This paper introduces a temporal bivariate area-level linear mixed model with independent
time effects for estimating small area socioeconomic indicators. The model is fitted by using …
time effects for estimating small area socioeconomic indicators. The model is fitted by using …
[图书][B] Multilevel time series modelling of antenatal care coverage in Bangladesh at disaggregated administrative levels
Multilevel time series (MTS) models are applied to estimate trends in time series of antenatal
care coverage at several administrative levels in Bangladesh, based on repeated editions of …
care coverage at several administrative levels in Bangladesh, based on repeated editions of …
Time stable empirical best predictors under a unit-level model
Comparability as well as stability over time are highly desirable properties of regularly
published statistics, specially when they are related to important issues such as people's …
published statistics, specially when they are related to important issues such as people's …
Area-Level Temporal Linear Mixed Models
D Morales, MD Esteban, A Pérez, T Hobza… - A Course on Small Area …, 2021 - Springer
This chapter deals with two temporal extensions of the basic Fay–Herriot area-level model.
The first model assumes that the domain-time random effects are independent. The second …
The first model assumes that the domain-time random effects are independent. The second …