Adjusting nonresponse bias in small area estimation without covariates via a Bayesian spatial model
نویسندگان
چکیده
منابع مشابه
Estimation of Nonresponse Bias Darnell
AUTHOR’S NOTE: 7a~ ~-~<?/tJ ~c’M:’c/M’c/F~~, YcM~ycc~oM a~Dcw~ AUTHOR’S NOTE: I am grateful to Michael Flynn James Ja kson nd David Segal, principal investigators of he 1973 Detroit Area Study, for the use of their data. E. M. Beck read earlier drafts and provided invaluable assistance. My thanks also to Mary Senter, John Siebs, Connie Gask, Paula Sa, and Diane ~a/!~ /sc’ ~o ~f~ 5’~~ Y /!M 5’~&...
متن کاملAn Adaptive Self-adjusting Bandwidth Bandpass Filter without IIR Bias
In this paper we introduce a simple, computationally inxepentsive, adaptive recursive structure for enhancing bandpass signals highly corrupted by broad-band noise. This adaptive algorithm, enhancing input signals, enables us to estimate the center frequency and the bandwidth of the input signal. In addition, an important feature of the proposed structure is that the conventional bias existing ...
متن کاملA Bayesian semi-parametric model for small area estimation
In public health management there is a need to produce subnational estimates of health outcomes. Often, however, funds are not available to collect samples large enough to produce traditional survey sample estimates for each subnational area. Although parametric hierarchical methods have been successfully used to derive estimates from small samples, there is a concern that the geographic divers...
متن کاملAn Adaptive Self-adjusting Bandwidth Bandpass Filter without IIR Bias
In this paper we introduce a simple, computationally inxepentsive, adaptive recursive structure for enhancing bandpass signals highly corrupted by broad-band noise. This adaptive algorithm, enhancing input signals, enables us to estimate the center frequency and the bandwidth of the input signal. In addition, an important feature of the proposed structure is that the conventional bias existing ...
متن کاملBayesian model comparison and model averaging for small-area estimation
This paper considers small-area estimation with proportion data, and discusses the choice of upper-level model for the variation over areas. Inference about the random effects for the areas may depend strongly on the choice of this model, but this choice is not a straightforward matter. We show that posterior distributions of the deviances for the competing models provide a valuable tool for th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Statistics and Its Interface
سال: 2014
ISSN: 1938-7989,1938-7997
DOI: 10.4310/sii.2014.v7.n4.a8