Accounting for uncertainty in heteroscedasticity in nonlinear regression
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Publication:413343
DOI10.1016/j.jspi.2011.11.003zbMath1236.62077OpenAlexW1979107903WikidataQ35752954 ScholiaQ35752954MaRDI QIDQ413343
Changwon Lim, Shyamal D. Peddada, Pranab Kumar Sen
Publication date: 4 May 2012
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc3278194
asymptotic normalityheteroscedasticitytoxicologydose response studyHill modelM-estimation procedurepreliminary test estimation
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Cites Work
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- Heteroscedastic symmetrical linear models
- Parameter estimation in linear models with heteroscedastic variances subject to order restrictions
- Empirical likelihood for heteroscedastic partially linear models
- Testing equality of regression coefficients in heteroscedastic normal regression models
- Jackknife, bootstrap and other resampling methods in regression analysis
- Statistical inference in nonlinear regression under heteroscedasticity
- Statistical inference of partially linear regression models with heteroscedastic errors
- Asymptotic inference in some heteroscedastic regression models with long memory design and errors
- SHRINKAGE, PRETEST AND ABSOLUTE PENALTY ESTIMATORS IN PARTIALLY LINEAR MODELS
- Variance Function Estimation
- Applications of Likelihood Asymptotics for Nonlinear Regression in Herbicide Bioassays
- Assessing the Adequacy of Variance Function in Heteroscedastic Regression Models
- Performance of Preliminary Test Estimator Under Linex Loss Function
- Efficient semiparametric estimator for heteroscedastic partially linear models
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