Filters








768,712 Hits in 9.0 sec

Selection of Auxiliary Variables for Three-Fold Linking Models in Small Area Estimation: A Simple and Effective Method

Song Cai, J.N.K. Rao
2022 Stats  
Model-based estimation of small area means can lead to reliable estimates when the area sample sizes are small.  ...  The main purpose of this paper is to extend the earlier work on variable selection for area level and two-fold subarea level models to three-fold sub-subarea models linking sub-subarea means to related  ...  Concluding Remarks A transformation-based method is proposed for selecting covariates under the threefold sub-subarea model for small area estimation.  ... 
doi:10.3390/stats5010009 fatcat:3jitqdbunrfobog5uoktcixyyi

A Comparison of Methods for Poverty Estimation in Developing Countries

Sumonkanti Das, Stephen Haslett
2019 International Statistical Review  
Small area estimation is a widely used indirect estimation technique for micro-level geographic profiling.  ...  Summary Small area estimation is a widely used indirect estimation technique for micro-level geographic profiling.  ...  Alternatively, a three-level ELL model could instead include a small area level error.  ... 
doi:10.1111/insr.12314 fatcat:tik57ou6xng4heqwobo6q6ywyq

Disaggregated level child morbidity in Bangladesh: An application of small area estimation method

Sumonkanti Das, Bappi Kumar, Luthful Alahi Kawsar, Samson Gebremedhin
2020 PLoS ONE  
In such a case, small area estimation (SAE) methods can be applied by combining survey data with census data.  ...  The ARI and diarrhoea data extracted from Bangladesh Demographic and Health Survey 2011 are used to develop a random effect logistic model for each of the indicators, and then the prevalence is estimated  ...  His suggestions led to a considerable improvement in the paper. We also like to thank the reviewers for their intellectual comments.  ... 
doi:10.1371/journal.pone.0220164 pmid:32433685 fatcat:tkipatmw5bbnbczle3sim5gl6m

Disaggregated Level Child Morbidity in Bangladesh: An Application of Small Area Estimation Method [article]

Luthful Alahi Kawsar, Sumonkanti Das, Bappi Kumar
2019 biorxiv/medrxiv   pre-print
In such case, small area estimation (SAE) methods can be applied by combining a survey data with a census data.  ...  In a number of districts and sub-district, the proportions are found double the national level.  ...  His suggestions led to a considerable improvement in the paper. We also like to thank the reviewers for their intellectual comments.  ... 
doi:10.1101/699538 fatcat:zegc235njnc6tn2wm2v2ihh5xa

Small Area Estimation with Measurement Error in t Distributed Covariate Variable

Soni Hariyanto, Khairil Anwar Notodiputro, Anang Kurnia, Kusman Sadik
2020 International Journal on Advanced Science, Engineering and Information Technology  
Therefore, we use the moment-method to estimate the parameters and develop an empirical Bayes-EB predictor in a nested error regression model with measurement errors in the area-level covariates.  ...  The large need for small area data and limited auxiliary information drive the development of small area estimation methods with auxiliary information comes from survey data.  ...  The subject of this paper is to examine the small area estimation under a unit-level model with measurement errors in the covariate variables which has t-distribution.  ... 
doi:10.18517/ijaseit.10.4.9765 fatcat:fdgosyb2kjfujgmoo6hvzjt7wi

Empirical Best Predictor for Nested Error Regression Small Area Models

Dian Handayani, Khairil Anwar Notodiputro, Asep Saefuddin, I Wayan Mangku, Anang Kurnia
2018 IOP Conference Series: Earth and Environment  
Nested error regression models have played an important role in small area estimation (SAE) especially for deriving indirect or model-based estimates of small area parameters.  ...  The standard SAE method, specifically the Empirical Best Linear Unbiased Predictor (EBLUP), which derives the estimates for small area parameters under the nested error regression models, certainly have  ...  Empirical Best Linear Unbiased Prediction (EBLUP) The standard SAE method that estimates small area parameter under SAE unit level model or nested error regression model is originally developed by Battese  ... 
doi:10.1088/1755-1315/187/1/012036 fatcat:wqjhzqgi6vhkbdtpi5f3kxvg6a

Clustering Information of Non-Sampled Area in Small Area Estimation of Poverty Indicators

V Y Sundara, A Kurnia, K Sadik
2017 IOP Conference Series: Earth and Environment  
Molina and Rao has been used this method for estimates nonlinear small area parameter based on a nested error model.  ...  Empirical Bayes (EB) is one of indirect estimates methods which used to estimate parameters in small area.  ...  Most of national surveys provide limited information and low precision in predicting the small area level [1] .  ... 
doi:10.1088/1755-1315/58/1/012020 fatcat:tpmggdeyi5a73bg7tsvurel5qe

The utility of geodemographic indicators in small area estimates of limiting long-term illness

Graham Moon, Liz Twigg, Kelvyn Jones, Grant Aitken, Joanna Taylor
2018 Social Science and Medicine  
Full terms of use are available: A B S T R A C T Small area health data are not always available on a consistent and robust routine basis across nations, necessitating the employment of small area estimation  ...  We employ a multilevel methodology to estimate small area LLTI prevalence in England, Scotland and Wales.  ...  Acknowledgements This work was based on data from the Annual Population Survey, produced by the Office for National Statistics (ONS) and supplied by the Secure Data Service at the UK Data Archive.  ... 
doi:10.1016/j.socscimed.2018.06.029 pmid:30001874 fatcat:wufba3wdxjenbkwfn65shanor4

Incorporating GIS Building Data and Census Housing Statistics for Sub-Block-Level Population Estimation

Shuo-sheng Wu, Le Wang, Xiaomin Qiu
2008 Professional Geographer  
This article presents a deterministic model for sub-block-level population estimation based on the total building volumes derived from geographic information system (GIS) building data and three census  ...  The smaller the sub-block-level areas, the higher the population estimation errors.  ...  A potential way to improve the model estimates for small sub-block areas is to obtain local, sub-block-level housing statistics to use in the model. They can be obtained through field surveys.  ... 
doi:10.1080/00330120701724251 fatcat:xna4v6ew75d3rjwpzjdr4opdsy

Small area estimation of under-5 mortality in Bangladesh, Cameroon, Chad, Mozambique, Uganda, and Zambia using spatially misaligned data

Laura Dwyer-Lindgren, Ellen R. Squires, Stephanie Teeple, Gloria Ikilezi, D. Allen Roberts, Danny V. Colombara, Sarah Katherine Allen, Stanley M. Kamande, Nicholas Graetz, Abraham D. Flaxman, Charbel El Bcheraoui, Kristjana Asbjornsdottir (+20 others)
2018 Population Health Metrics  
We then developed small area estimation models capable of incorporating spatially misaligned data.  ...  These small area estimation models were applied to the birth history data in order to estimate trends in U5MR from 1980 to 2015 at the second administrative level in Cameroon, Chad, Mozambique, Uganda,  ...  linear model defined for data stratified by area (department, district, or sub-district, depending on the country), year, and data source (a single survey or census in a particular area): p j, t, s is  ... 
doi:10.1186/s12963-018-0171-7 pmid:30103791 pmcid:PMC6090708 fatcat:d6mqkhadqbg5xn4tvcdurfxfoa

Web-Based Software for Small Area Estimation under Unit Level Model

James Karangwa, Anshu Bharadwaj
2021 OALib  
In this paper, a web-based software for small area estimation Under unit level model has been developed But this doesn't include the Unit level effects in the model.  ...  Therefore, it becomes necessary to employ indirect small area estimators that make use of the sample data from related areas or domains through linking models, and this increases the effective sample size  ...  The work resulted in a web-based Tool for Small Area Estimation under Unit Level Model.  ... 
doi:10.4236/oalib.1107207 fatcat:2fri2wh3cbevtdpfrzecd7hxfe

An Information Theoretic Approach to Ecological Inference in Presence of Spatial Dependence [chapter]

Rosa Bernardini-Papalia
2012 Advances in Spatial Science  
This paper introduces Information Theoretic -based methods for estimating a target variable in a set of small geographical areas, by exploring spatially heterogeneous relationships at the disaggregate  ...  A basic ecological inference problem, which allows for spatial heterogeneity and dependence, is presented with the aim of first estimating the model at the aggregate level, and then of employing the estimated  ...  at the small area/sub group level.  ... 
doi:10.1007/978-3-642-31994-5_8 fatcat:4yuwcglpcfbgrfasrn6ivxwgzu

Estimating the levels and trends of family planning indicators in 436 sub-national areas across 26 countries in sub-Saharan Africa [article]

Joshua L. Proctor, Laina D. Mercer
2021 medRxiv   pre-print
We extract survey cluster level data to fit multiple small area estimation models that estimate FP indicators by administrative unit one and two regions as well as different demographic subgroups.FindingsWe  ...  Our model-based estimates show that on average for 436 administrative unit one regions, mCPR has increased at a rate of 0.75% per year and unmet need has decreased by 0.26% per year.  ...  The GADM shapefiles enable the small area estimation analysis and illustrations of analytic results as sub-national maps of 26 countries.  ... 
doi:10.1101/2021.03.03.21252829 fatcat:siaof5mk7fcavp6vxiygtmdjiu

Local stationarity in small area estimation models

Roberto Benedetti, Monica Pratesi, Nicola Salvati
2012 Statistical Methods & Applications  
Small area estimators are often based on linear mixed models under the assumption that relationships among variables are stationary across the area of interest (Fay-Herriot models).  ...  In this paper we propose a local Fay-Herriot model assisted by a Simulated Annealing algorithm to identify the latent subgroups of small areas.  ...  Acknowledgments The work reported here has been developed under the support of the project PRIN Metodologie di stima e problemi non campionari nelle indagini in campo agricolo-ambientale.  ... 
doi:10.1007/s10260-012-0208-1 fatcat:la2owqhtefcp7iy2hqyuajzv4y

A comparison of area level and unit level small area models in the presence of linkage errors

Loredana Di Consiglio, Tiziana Tuoto
2020 Statistics in Transition New Series  
Recently, methods to adjust the unit level small area estimators for linkage errors have been proposed when the domains are correctly specified.  ...  In this paper we compare the naïve and the adjusted unit level estimators with the area level estimators that are not affected by the linkage errors.  ...  Area level small area predictor The basic area level model (Fay and Herriot, 1979 ) relies on a linear relationship between the direct estimatesŶ d and the true finite population valuesȲ d in each area  ... 
doi:10.21307/stattrans-2020-033 doaj:df1d5c702e9044308b736c06ba0976f7 fatcat:rdedfjc6zza47mjeg7ig6lnsty
« Previous Showing results 1 — 15 out of 768,712 results