Estimators of percentiles based on absolute loss (original) (raw)

Percentile estimators in location-scale parameter families under absolute loss

Narayanaswamy Balakrishnan

Metrika, 2010

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A note on estimation of percentiles and reliability in the extreme-value distribution

Jerome Keating

Statistics & Probability Letters, 1984

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Model Efficiency and Uncertainty in Quantile Estimation of Loss Severity Distributions

Sahadeb Upretee

Risks, 2019

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When is tail mean estimation more efficient than tail median? Answers and implications for quantitative risk management

Roger Barnard

Annals of Operations Research, 2017

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The effects of misspecification in estimating the percentiles of some two- and three-parameter distributions

Michael McAleer

Mathematics and Computers in Simulation, 1990

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Efficiency of a Linear Combination of the Median and the Sample Mean: The Double Truncated Normal Distribution.: The Double Truncated Normal Distribution

Gabriela Damilano

2004

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Beta kernel quantile estimators of heavy-tailed loss distributions

Abder Oulidi

Statistics and Computing, 2009

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Improved estimation of extreme quantiles in the multivariate Lomax (Pareto II) distribution

Constantinos Petropoulos

Metrika, 2004

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On Small Samples and the Use of Robust Estimators in Loss Reserving

Hou-wen Jeng

2010

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A bayesian approach for estimating extreme quantiles under a semiparametric mixture model

Stefano Cabras

2011

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A Log Probability Weighted Moment Estimator of Extreme Quantiles

Frederico Caeiro

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A Modified Quantile Estimator Using Extreme-Value Theory with Applications

Ronald J.M.M. Does

Economic Quality Control, 2005

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Comments on estimators based on error in the predicted distribution function

Jerome Keating, Rhonda Magel

Communications in Statistics - Theory and Methods, 1984

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Estimation of extreme quantiles from heavy-tailed distributions in a location-dispersion regression model

Aliou DIOP

Electronic Journal of Statistics, 2020

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Asymptotic Expansions of Generalized Quantiles and Expectiles for Extreme Risks

Taizhong Hu

Probability in the Engineering and Informational Sciences, 2015

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Efficiency of a linear combination of the median and the sample mean: the double truncated normal distribution

Gabriela Damilano

Scandinavian journal of statistics, 2004

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Estimation of extreme quantiles from heavy and light tailed distributions

Stéphane Girard

Journal of Statistical Planning and Inference, 2012

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Median loss decision theory

Bertrand Clarke

Journal of Statistical Planning and Inference, 2011

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On continuous distribution functions, minimax and best invariant estimators, and integrated balanced loss functions

Alexandre Leblanc

Canadian Journal of Statistics, 2014

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Bias reduction in risk modelling: Semiparametric quantile estimation

Fernanda Figueiredo

Test, 2006

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On the Estimation of a Restricted Location Parameter for Symmetric Distributions

Éric Marchand

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Robust Extreme Quantile Estimation for Pareto-Type tails through an Exponential Regression Model

Tertius de Wet

2022

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Estimation of Extreme Risk Measures from Heavy-tailed distributions

Laurent Gardes

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A Tutorial on Quantile Estimation via Monte

hui dong

2019

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Parameter and quantile estimation for the generalized extreme-value distribution

Enrique Castillo

Environmetrics, 1994

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Generalized quantiles as risk measures

Bernhard Klar

Insurance: Mathematics and Economics, 2014

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Semi-Parametric Probability-Weighted Moments Estimation Revisited

Frederico Caeiro

Methodology and Computing in Applied Probability, 2014

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An invariant loss function for quantile approximation, estimation and summarizing data

Reza Milani

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Probabilistic evaluation of quantile estimators

Lasse Makkonen

Communications in Statistics - Theory and Methods

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Non-Parametric Quantile Selection for Extreme Distributions

Abdul Aziz Jemain

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