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Small-area estimation: an appraisal - Comment

Noel A Cressie, +1 more
- 01 Feb 1994 - 
- Vol. 9, Iss: 1, pp 76-80
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TLDR
In the comment, it will be discussed what opportunities there might be to expand the class of statistical models for small area data and to consider multivariate aspects of small area estimation.
Abstract
Malay Ghosh and Jon Rao have presented us with a well written exposition of the topic of small area estimation. The past literature has been de-cidedly influenced by linear modeling, and we see that clearly in their paper. There has also been a tendency to judge the performance of the estimation methods by concentrating on a single, arbitrary small area. In our comment, we shall discuss what opportunities there might be to expand the class of statistical models for small area data and to consider multivariate aspects of small area estimation.

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Citations
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Journal ArticleDOI

Estimating small area health-related characteristics of populations: a methodological review.

TL;DR: A significant appraisal of the methodologies for estimating health-related characteristics of populations at geographical limited areas reveals that microsimulation- based spatial models have significant robustness over the other methods and also represent a more precise means of estimatinghealth-related population characteristics over small areas.
Journal ArticleDOI

Combining Survey and Non-survey Data for Improved Sub-area Prediction Using a Multi-level Model

TL;DR: Using a hierarchical area-level model, a framework is established to integrate auxiliary information to improve state-level area estimates of planted acreages for different crops and an estimate of the mean squared prediction error is discussed.
Journal ArticleDOI

A nonlinear mixed model for the assessment of traffic noise levels in urban areas

TL;DR: A statistical model is proposed here for quantification of traffic noise levels in small urban areas, which requires only sample data and has been used to estimate basic noise indicators established in European standards.
Posted ContentDOI

Modelling the Spatial Distributional Agricultural Incomes

TL;DR: In this paper, the authors develop and test a methodology to spatially model the distribution of agricultural activity and associated income across place using a spatial microsimulation model and build upon a quota sampling method used in the development household based spatial micro-simulation models to account for spatial heterogeneity in relation to stocking rate.

Pendugaan Area Kecil Terhadap Proporsi Rumah Tangga Miskin Level Kelurahan Di Kabupaten Sampang Menggunakan Hierarchical Bayes (HB) Logit Normal

TL;DR: In this article, the basic area level models (Type A) were used to model the level of a level of the level model and a variabel respon tersedia pada level area.
References
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Journal ArticleDOI

Estimating small area health-related characteristics of populations: a methodological review.

TL;DR: A significant appraisal of the methodologies for estimating health-related characteristics of populations at geographical limited areas reveals that microsimulation- based spatial models have significant robustness over the other methods and also represent a more precise means of estimatinghealth-related population characteristics over small areas.
Journal ArticleDOI

Combining Survey and Non-survey Data for Improved Sub-area Prediction Using a Multi-level Model

TL;DR: Using a hierarchical area-level model, a framework is established to integrate auxiliary information to improve state-level area estimates of planted acreages for different crops and an estimate of the mean squared prediction error is discussed.
Journal ArticleDOI

A nonlinear mixed model for the assessment of traffic noise levels in urban areas

TL;DR: A statistical model is proposed here for quantification of traffic noise levels in small urban areas, which requires only sample data and has been used to estimate basic noise indicators established in European standards.
Posted ContentDOI

Modelling the Spatial Distributional Agricultural Incomes

TL;DR: In this paper, the authors develop and test a methodology to spatially model the distribution of agricultural activity and associated income across place using a spatial microsimulation model and build upon a quota sampling method used in the development household based spatial micro-simulation models to account for spatial heterogeneity in relation to stocking rate.

Pendugaan Area Kecil Terhadap Proporsi Rumah Tangga Miskin Level Kelurahan Di Kabupaten Sampang Menggunakan Hierarchical Bayes (HB) Logit Normal

TL;DR: In this article, the basic area level models (Type A) were used to model the level of a level of the level model and a variabel respon tersedia pada level area.