GLS under monotone heteroskedasticity

Cites Work

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Cube root asymptotics
Adapting for heteroscedasticity in linear models
Using residuals robustly I: Tests for heteroscedasticity, nonlinearity
Testing for monotonicity of a regression mean by calibrating for linear functions.
Testing monotonicity of regression.
Multiscale testing of qualitative hypotheses
Weak convergence and empirical processes. With applications to statistics
Multivariate extensions of isotonic regression and total variation denoising via entire monotonicity and Hardy-Krause variation
Least squares estimation in the monotone single index model
The behavior of the NPMLE of a decreasing density near the boundaries of the support
Nonparametric Estimation under Shape Constraints
An Empirical Distribution Function for Sampling with Incomplete Information
More Efficient Estimation in the Presence of Heteroscedasticity of Unknown Form
Asymptotically Efficient Estimation in the Presence of Heteroskedasticity of Unknown Form
Least Squares Estimation when the Covariance Matrix and Parameter Vector are Functionally Related
Asymptotic Statistics
Confidence Intervals for the Current Status Model
Correcting Inhomogeneity of Variance with Power Transformation Weighting
TESTING REGRESSION MONOTONICITY IN ECONOMETRIC MODELS
Score estimation of monotone partially linear index model
TESTING GENERALIZED REGRESSION MONOTONICITY
Additive isotone regression
Score estimation in the monotone single‐index model
Estimation for Distributions with Monotone Failure Rate
The Isotonic Regression Problem and Its Dual
Profile Least Squares Estimators in the Monotone Single Index Model
Isotonic regression discontinuity designs

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