The collected works of john w. tukey

DOI10.1080/03610919108812987zbMath0850.62490OpenAlexW2069230745MaRDI QIDQ4019293

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Publication date: 16 January 1993

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

Full work available at URL: https://doi.org/10.1080/03610919108812987

Mathematics Subject Classification ID

General nonlinear regression (62J02) Monte Carlo methods (65C05)

Related Items (2)

Comparison of parametric and nonparametric methods for the analysis and inversion of immittance data: critique of earlier work. ⋮ Testing for additivity in nonparametric heteroscedastic regression models

Cites Work

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• Asymptotic theory of nonlinear least squares estimation
• Use and Abuse of Variance Models in Regression
• The Analysis of Transformed Data
• Computational Experience with Confidence Regions and Confidence Intervals for Nonlinear Least Squares
• Variance Function Estimation
• Heteroscedastic Nonlinear Regression
• Least Squares Estimation when the Covariance Matrix and Parameter Vector are Functionally Related
• Confidence Interval Robustness with Long-Tailed Symmetric Distributions

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