Small Area Estimation
Poisson M-quantile regression for small area estimation
... between area variation in the response is characterised by variation in area-specific values of quantile-like coef- ...the estimation of mean number of visits to the physicians with some explorative ...
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Some New Developments in Small Area Estimation
... small area estimation. Recent review papers on small area estimation include Ghosh and Rao (1994), Rao (1999) and Pfeffermann ...model-based small area ...
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Outlier robust small area estimation under spatial correlation
... robust small area estimation in Section 2, we present robust projective and robust predictive small area estimators under spatial correlation in Section ...(MSE) estimation is ...
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Evaluations and improvements in small area estimation methodologies
... Japanese small areas called ‘cho-cho’ used for detailed census tabulation have large variations in their areal and population sizes which makes fair comparison difficult (indeed, whether between themselves or with ...
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A Comparison of Hierarchical Bayesian Models for Small Area Estimation of Counts
... Small area estimation (SAE) tackles the problem of providing reliable esti- mates for small areas, ...mating small area counts are discussed and their relative merits are ...
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Multivariate Small Area Estimation for Health Indicators
... Chapter 3 compares the efficiency of SAEs from UFH and MFH models from both theoretical and numerical perspectives. Expressions for the approximate relative ef- ficiency for some special cases are derived to give ...
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Topics on small area estimation, multilevel models, and semiparametric imputation
... for small domains are often of considerable interest, but the sample sizes are not large enough to support reliable direct ...to small area estimation uses models to incorporate auxiliary ...
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Estimation and Testing in M-quantile Regression with Applications to Small Area Estimation
... in small area estimation appear to be a useful tool when the functional form of the relationship between the variable of interest and the covariates is left unspecified and the data are characterized ...
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Small area Estimation of Poverty and Malnutrition in Cambodia
... The CDB was not designed for measuring economic poverty as defined in section 1.4 since it does not directly measure household consumption expenditure. However, it does contain variables that may be useful proxies for ...
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Small Area Estimation Under Linear and Generalized Linear Mixed Models With Time and Area Effects
... For the normal error model, the interrelationship between BLUP (MPQL) with maximum likelihood (ML) and restricted or residual maximum likelihood (REML) estimators was developed in Harville (1977) and investigated further ...
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A Comparison of Cluster Method and Nearest Neighbor Method for Non-sample Area in the Small Area Estimation
... Small area estimation is an indirect method to estimate the parameter of a population by using the model ...the small area estimation is non-sampled area then the ...
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Targeting the Poor in Vietnam using a Small Area Estimation Method
... of small items, and detailed questionnaires help people remember these small items in their ...in small areas is to combine a census and a household survey using the method of small ...
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A Comparison of Hierarchical Bayesian Models for Small Area Estimation of Counts
... Small area estimation (SAE) tackles the problem of providing reliable esti- mates for small areas, ...mating small area counts are discussed and their relative merits are ...
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Small area estimation of poverty indicators under partitioned area-level time models
... the estimation of poverty is done by using the Living Conditions Survey (LCS) ...very small sample size, the direct estimates at that level have a low ...too small to carry out direct ...using ...
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Household business index in Vietnam: a small area estimation method
... ‘small area estimation’ method developed by Elbers et al (2000, ...at small areas by integrating household surveys (with information on income and consumption) with general surveys (allowing ...
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Multipurpose small area estimation
... when small area estimates of the survey variables are ...of small area estimation described in Chambers and Chandra ...for small areas based on multipurpose weights perform well ...
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A SPATIAL UNIT LEVEL MODEL FOR SMALL AREA ESTIMATION
... of small area estimation have been suggested in the ...the small areas, can be validated from the sample data and can handle complex cases such as cross-sectional, time series and spatial ...
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Small area estimation methods under complex sampling designs
... the estimation stage in order to reduce the bias when estimating population totals; more specifically, they propose to use balanced sampling or calibration, or ...with small sample size, calibration ...
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Small area estimation of turnover of the Structural Business Survey
... of small sample sizes, model-based techniques can be considered as an ...where small area estimation tech- niques, based on multilevel modelling, are applied to the variable turnover of the ...
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Robust small area estimation under spatial non-stationarity
... for small area estimation under spatial correlation are efficient under strict parametric assumptions, they can be strongly influenced by departures from the underlying distri- butions or by outlying ...
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