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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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Related topics

Related topics

3 relations
Bootstrapping (statistics)

Broader (2)

Computational statisticsResampling (statistics)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
On efficiency of the plug-in principle for estimating smooth integrated functionals of a nonincreasing density
We consider the problem of estimating smooth integrated functionals of a monotone nonincreasing density $f$ on $[0,\infty)$ using… 
2018
2018
Estimation of Integrated Functionals of a Monotone Density
In this paper we study estimation of integrated functionals of a monotone nonincreasing density $f$ on $[0,\infty)$. We find the… 
2017
2017
Non-separable models with high-dimensional data
2017
2017
Statistical hypotheses testing for random and pseudorandom generators based on statistical estimators of entropy
The topical information security problem of development of statistical tests for hypotheses on the discrete uniform distribution… 
2017
2017
A unified principled framework for resampling based on pseudo-populations: Asymptotic theory
In this paper, a class of resampling techniques for finite populations under complex sampling design is introduced. The basic… 
2016
2016
quantreg.nonpar: An R Package for Performing Nonparametric Series Quantile Regression
The R package quantreg.nonpar implements nonparametric quantile regression methods to estimate and make inference on partially… 
2013
2013
Markov Switching GARCH Models for Bayesian Hedging on Energy Futures Markets
A new Bayesian multi-chain Markov Switching GARCH model for dynamic hedging in energy futures markets is developed by… 
Review
2012
Review
2012
Efficient Estimation of Nonlinear Finite Population Parameters Using Nonparametrics
Currently, the high-precision estimation of nonlinear parameters such as Gini indices, low-income proportions or other measures… 
2009
2009
Local Polynomial Quantile Regression With Parametric Features
We propose a new approach to conditional quantile function estimation that combines both parametric and nonparametric techniques… 
1993
1993
The empirical distribution function and the plug-in principle
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