ESTIMATING A PARAMETER WHEN IT IS KNOWN THAT THE PARAMETER EXCEEDS A GIVEN VALUE

DOI10.1111/j.1467-842X.2009.00557.xzbMath1337.62054MaRDI QIDQ2810402

Ian R. Gordon

Publication date: 1 June 2016

Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)

zbMATH Keywords

positivityvariance estimationbaggingnonlinear estimatorbootstrap aggregationone-sided estimator

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Nonparametric statistical resampling methods (62G09)

Related Items (1)

Nonparametric and semiparametric regressions subject to monotonicity constraints: estimation and forecasting

Cites Work

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• Properties of Bagged Nearest Neighbour Classifiers
• Cross-Validated Bagged Prediction of Survival
• Looking for lumps: boosting and bagging for density estimation.
• Improving nonparametric regression methods by bagging and boosting.

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