Three-stage accurate estimation in the general linear model

DOI10.1016/0378-3758(93)90143-TzbMath0764.62067OpenAlexW2065957479MaRDI QIDQ1209664

Sharon L. Lohr

Publication date: 16 May 1993

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0378-3758(93)90143-t

zbMATH Keywords

variancethree-stage procedureresponse surfaceconditional inferencebounded regretestimating regression parametersgiven confidence levelpredetermined accuracysecond-order asymptotic resultstriple sampling

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Sequential estimation (62L12)

Cites Work

• Accurate multivariate estimation using triple sampling
• Estimation in the general linear model when the accuracy is specified before data collection
• On fixed-size confidence regions for the regression parameters
• Asymptotic theory of triple sampling for sequential estimation of a mean
• Second order approximations for sequential point and interval estimation
• A Frequentistic Approach to Sequential Estimation in the General Linear Model
• Multistage estimation: optimal and asymptotically optimal policies
• On the Asymptotic Theory of Fixed-Size Sequential Confidence Bounds for Linear Regression Parameters
• Fixed Size Confidence Ellipsoids for Linear Regression Parameters
• On Fixed-Width Confidence Bounds for Regression Parameters
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