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Bayesian Small Area Estimation
2022The wealth of timely and detailed information provided by sample surveys (see Survey Sampling; Finite Populations, Sampling From) attracts interest of researchers and analysts, with planned domains (see Sampling Designs in Surveys) being of primary yet clearly not exclusive inferential interest.
Polettini, Silvia, Arima, Serena
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Small area estimation for longitudinal surveys
Statistical Methods and Applications, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
FERRANTE, MARIA, PACEI, SILVIA
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Outlier robust model‐assisted small area estimation
Biometrical Journal, 2013Small area estimation with M‐quantile models was proposed by Chambers and Tzavidis (). The key target of this approach to small area estimation is to obtain reliable and outlier robust estimates avoiding at the same time the need for strong parametric assumptions.
Fabrizi E +3 more
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1999
Inference techniques for unbalanced and balanced two-factor experiments under an inverse Gaussian model can be used in the area of estimation for small regions. Chaubey et al., (1996) consider the analysis of variance methodology for the inverse Gaussian law and adapt it for estimation of small area parameters in finite populations.
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Inference techniques for unbalanced and balanced two-factor experiments under an inverse Gaussian model can be used in the area of estimation for small regions. Chaubey et al., (1996) consider the analysis of variance methodology for the inverse Gaussian law and adapt it for estimation of small area parameters in finite populations.
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BAYESIAN ROBUSTNESS IN SMALL AREA ESTIMATION
Statistics & Risk Modeling, 1998Summary: We address Bayesian robustness in the hierarchical Bayes setting in the context of small area estimation. We provide the range where the small area means belong under \(\varepsilon\)-contamination class as well as the density ratio class of priors.
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2013
In the dissertation special problems that may be encountered in finding optimal estimation strategy for small area estimation, in particular, model diagnostics for small area models, constrained estimation, sample design selection, nonresponse adjustment and borrowing strength across both small areas and time are considered.
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In the dissertation special problems that may be encountered in finding optimal estimation strategy for small area estimation, in particular, model diagnostics for small area models, constrained estimation, sample design selection, nonresponse adjustment and borrowing strength across both small areas and time are considered.
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Female erectile tissues and sexual dysfunction after pelvic radiotherapy: A scoping review
Ca-A Cancer Journal for Clinicians, 2022Deborah C Marshall, Mas +2 more
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