Making correct statistical inferences using a wrong probability model

DOI10.1006/jmps.1995.1002zbMath0827.62101OpenAlexW2021510354MaRDI QIDQ1896615

Richard M. Golden

Publication date: 10 December 1995

Published in: Journal of Mathematical Psychology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1006/jmps.1995.1002

zbMATH Keywords

model selectionmisspecified modelslarge sample methodsbootstrap estimatescategorical time series dataparallel distributed processing statistical modelquasi-maximum likelihood estimatesvariance of parameter estimates

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Parametric hypothesis testing (62F03) Parallel numerical computation (65Y05) Applications of statistics to psychology (62P15)

Related Items (5)

A tutorial on Fisher information ⋮ Assessing model mimicry using the parametric bootstrap. ⋮ Statistical tests for comparing possibly misspecified and nonnested models ⋮ Discrepancy risk model selection test theory for comparing possibly misspecified or nonnested models ⋮ Goodness-of-fit and confidence intervals of approximate models

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