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On Measuring Sensitivity to Parametric Model Misspecification

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Publication:2729275
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DOI10.1111/1467-9868.00277zbMath0976.62022OpenAlexW2159528252MaRDI QIDQ2729275

Paul Gustafson

Publication date: 8 January 2002

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/1467-9868.00277


zbMATH Keywords

maximum likelihood estimatesBayes estimateslarge sample theorymodel misspecifications


Mathematics Subject Classification ID

Point estimation (62F10) Bayesian inference (62F15) Foundations and philosophical topics in statistics (62A01) Parametric inference (62F99)


Related Items (7)

Analysis of local sensitivity to nonignorability with missing outcomes and predictors ⋮ On the detectability of different forms of interaction in regression models ⋮ Detecting random-effects model misspecification via coarsened data ⋮ On Robustness and Model Flexibility in Survival Analysis: Transformed Hazard Models and Average Effects ⋮ Local Model Uncertainty and Incomplete-Data Bias (With Discussion) ⋮ Local Influence for Generalized Linear Models with Missing Covariates ⋮ New Edgeworth-type expansions with finite sample guarantees




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