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COVID-19: optimal design of serosurveys for disease burden estimation

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Publication:2091315
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DOI10.1007/s13571-021-00267-wOpenAlexW3205794121MaRDI QIDQ2091315

Mohammed Minhaas B. S., Aniruddha Iyer, Sharad Shriram, Nihesh Rathod, Giridhara R. Babu, Nidhin Koshy Vaidhiyan, Rajesh Sundaresan, Sarath Yasodharan, Siva R. Athreya

Publication date: 1 November 2022

Published in: Sankhyā. Series B (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2012.12135


zbMATH Keywords

Fisher informationweighted estimateworst-case designCOVID-19adjusted estimatec-optimal designserosurvey


Mathematics Subject Classification ID

Statistics (62-XX)




Cites Work

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  • A geometric characterization of \(c\)-optimal designs for heteroscedastic regression
  • Design of experiments in nonlinear models. Asymptotic normality, optimality criteria and small-sample properties
  • New optimal design criteria for regression models with asymmetric errors
  • A Further Generalization of the Kakutani Fixed Point Theorem, with Application to Nash Equilibrium Points
  • Optimum Allocation in Linear Regression Theory
  • Locally Optimal Designs for Estimating Parameters
  • Introduction to game theory


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