A comparison of confidence regions and designs in estimation of a ratio

DOI10.1080/03610918408812411zbMath0565.62020OpenAlexW2011118215MaRDI QIDQ3680070

John P. Buonaccorsi, Hariharan K. Iyer

Publication date: 1984

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918408812411

zbMATH Keywords

tablesextremumquadratic regressionratio estimationFieller's theoremapproximate large sample intervalscomparison of confidence regions

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Optimal statistical designs (62K05) General nonlinear regression (62J02) Monte Carlo methods (65C05)

Related Items (4)

Optimal designs for ratios of linear combinations in the general linear model ⋮ Measurement errors, linear calibration and inferences for means ⋮ Bayesian design for estimating the turning point of a quadratic regression ⋮ Multiple comparisons for multiple endpoints in agricultural experiments

Cites Work

• Optimal designs for ratios of linear combinations in the general linear model
• Ratios of linear combinations in the general linear model
• A sequentially constructed design for estimating a nonlinear parametric function
• On the ratio of two correlated normal random variables
• Multiple Testing Versus Multiple Estimation. Improper Confidence Sets. Estimation of Directions and Ratios
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