Výsledky vyhledávání

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Improving measurement error and representativeness in nonprobability surveys

Autor: Sen, Aditi, Lahiri, Partha

Nonprobability surveys suffer from representativeness issues due to their unknown selection mechanism. Recent research on nonprobability surveys has primarily focused on reducing such selection bias. But bias due to measurement error is also present,

Externí odkaz: http://arxiv.org/abs/2410.18282

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Estimation of finite population proportions for small areas -- a statistical data integration approach

Autor: Sen, Aditi, Lahiri, Partha

Empirical best prediction (EBP) is a well-known method for producing reliable proportion estimates when the primary data source provides only small or no sample from finite populations. There are potential challenges in implementing existing EBP meth

Externí odkaz: http://arxiv.org/abs/2305.12336

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Estimation of mask effectiveness perception for small domains using multiple data sources

Autor: Sen, Aditi, Lahiri, Partha

Publikováno v: Statistics in Transition new series, vol. 23, 2022, 1, pages: 1 to 20

All pandemics are local; so learning about the impacts of pandemics on public health and related societal issues at granular levels is of great interest. COVID-19 is affecting everyone in the globe and mask wearing is one of the few precautions again

Externí odkaz: http://arxiv.org/abs/2105.05290

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