Area estimation
Small area estimation : estimating selected economic statistics for provinces of the Philippines
... small area estimation indicated that synthetic estimation was found to be the best among different estimators in estimating employment categorised according to different numbers of hours ...small ...
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Small Area Estimation Under Linear and Generalized Linear Mixed Models With Time and Area Effects
... small area estimation where the survey information is available at area level rather that at individual ...small area averages (the so-called direct estimates) are available, but individual ...
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Multipurpose small area estimation
... small area estimates of the survey variables are ...small area estimation described in Chambers and Chandra ...small area estimation ...
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Small Area Estimation Under Informative Sampling
... small area estimation should be based on statistical models that permit borrowing information across areas or over ...(unknown) area means, and the sampling of units within the selected areas is with ...
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Small Area Estimation under a Two Part Random Effects Model with Application to Estimation of Literacy in Developing Countries
... small area predictors that account for parameter estimation to correct order; see the recent book of Rao (2003) for a thorough review and ...small area estimation and in what follows we ...
15
Small area estimation with state space models subject to benchmark constraints
... The U.S. Bureau of Labor Statistics (BLS) uses state-space time series models for the production of the monthly employment and unemployment estimates in the 50 States and the District of Columbia. The models are fitted ...
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A Comparison of Cluster Method and Nearest Neighbor Method for Non-sample Area in the Small Area Estimation
... non-sampled area in the small area estimation model mainly by using the FHB method since the method is more simple to ...non-sampled area problem by using the nearest neighbor (NN) ...the ...
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Small area Estimation of Poverty and Malnutrition in Cambodia
... small area level error term at the greatest level of ...small area models of Rao (2003) contain such an error term, but those of Elbers, Lanjouw and Lanjouw (2003) do ...small area-level error ...
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Small Area Estimation: A Review of Methods Based on the Application of Mixed Models
... same area or values of other variables that are related to the variable of ...interest. Estimation and inference approaches based on using this auxiliary information are called indirect or ...
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Small area estimation with covariates perturbed for disclosure limitation
... small area aggregates of interest. Area-level models partially overcome the problem by relying on external sources; however the perturbed sample may still provide valuable information for the small ...
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Household business index in Vietnam: a small area estimation method
... small area estimation method to combine this business household survey and the 2009 Vietnam Population and Housing Census to estimate the FI for all provinces and districts in rural ...
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Targeting the Poor in Vietnam using a Small Area Estimation Method
... Thus, the collection of expenditure data using simple questionnaires and quick interview is more likely to underestimate the actual expenditure. The consumption basket has a large number of small items, and detailed ...
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M Quantile Models for Small Area Estimation
... Small area estimation techniques are employed when sample data are insufficient for acceptably precise direct estimation in domains of ...small area estimation that is based on ...
33
Calibrated Weighting for Small Area Estimation
... (farm area less than zone median) and large farms (farm area greater than or equal to zone ...small area estimation methods might work in this ...
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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, ...small area counts are discussed and their relative merits are ...
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Small Area Estimation with Skewed Data
... small area estimation based on linear mixed models lead to inefficient ...small area estimation techniques for skewed data that are linear following a suitable ...
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Small area estimation: new developments and directions
... small area predictors T ˆ ti x ti ’ E ˆ ti creates no extra problem under the full HB modeling approach because the prediction MSE is defined by the posterior ...considers estimation of unemployment rates ...
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Characterization and Area Estimation of Brain Tumor Using Optimized Clustering Algorithm
... This method allows the segmentation of tumor tissue with accuracy and reproducibility comparable to manual segmentation. In addition, it also reduces the time for analysis. At the end of the process the tumor is ...
7
Bias Adjusted Estimation for Small Areas with Outlying Values
... Small area estimation techniques typically rely on regression models that use both covariates and random effects to explain between domain ...small area estimation that is based on modelling ...
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STEREOLOGICAL ESTIMATION OF SURFACE AREA FROM DIGITAL IMAGES
... surface area based on counts of configurations observed in a digitization of an isotropic 2- dimensional slice with thickness ...surface area estimator is asymptotically unbiased in the case of sets ...
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