# Plug-in principle

In statistics, the plug-in principle is the method of estimation of functionals of a population distribution by evaluating the same functionals at…
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## Papers overview

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2019
2019
• Journal of Econometrics
• 2019
• Corpus ID: 88514800
2019
2019
• Electronic Journal of Statistics
• 2019
• Corpus ID: 88523055
We consider the problem of estimating smooth integrated functionals of a monotone nonincreasing density $f$ on $[0,\infty)$ using…
2018
2018
• Energy Economics
• 2018
• Corpus ID: 12651401
A new Bayesian multi-chain Markov Switching GARCH model for dynamic hedging in energy futures markets is developed by…
2017
2017
• International Conference on Information and…
• 2017
• Corpus ID: 39946826
The topical information security problem of development of statistical tests for hypotheses on the discrete uniform distribution…
2016
2016
• R J.
• 2016
• Corpus ID: 55746522
The R package quantreg.nonpar implements nonparametric quantile regression methods to estimate and make inference on partially…
2016
2016
• Entropy
• 2016
• Corpus ID: 10589966
Several reproducibility probability (RP)-estimators for the binomial, sign, Wilcoxon signed rank and Kendall tests are studied…
Review
2012
Review
2012
• 2012
• Corpus ID: 88512651
Currently, the high-precision estimation of nonlinear parameters such as Gini indices, low-income proportions or other measures…
Review
2011
Review
2011
• 2011
• Corpus ID: 62763717
Psychologists estimate the precision of their statistics both to conduct hypothesis tests and to construct confidence intervals…
2009
2009
• 2009
• Corpus ID: 46415696
We propose a new approach to conditional quantile function estimation that combines both parametric and nonparametric techniques…
2005
2005
We consider the Gaussian ARFIMA(j,d,l) model, with spectral density and an unknown mean . For this class of models, the n−1…