Amanote Research

Amanote Research

    RegisterSign In

Champernowne Transformation in Kernel Quantile Estimation for Heavy-Tailed Distributions

Afrika Statistika
doi 10.4314/afst.v5i1.71075
Full Text
Open PDF
Abstract

Available in full text

Date

October 25, 2011

Authors
A SayahD YahiaA Necir
Publisher

Statistics and Probability African Society (SPAS)


Related search

A Parametric Bootstrap for Heavy Tailed Distributions

SSRN Electronic Journal
2011English

Heavy-Tailed Distributions and Rating

ASTIN Bulletin
AccountingEconomicsEconometricsFinance
2001English

Comparing Downside Risk Measures for Heavy Tailed Distributions

Economics Letters
EconomicsFinanceEconometrics
2006English

Portfolio Management With Heavy-Tailed Distributions in Islamic Finance

Journal of Islamic Economics, Banking and Finance
DevelopmentEconomicsEconometricsFinance
2015English

Powerlaw: A Python Package for Analysis of Heavy-Tailed Distributions

PLoS ONE
Multidisciplinary
2014English

Conditional Extremes From Heavy-Tailed Distributions: An Application to the Estimation of Extreme Rainfall Return Levels

Extremes
StatisticsFinanceProbabilityEconomicsEngineeringEconometrics
2010English

Kernel Quantile Estimators

Journal of the American Statistical Association
UncertaintyStatisticsProbability
1990English

Heavy Tailed Distributions of Effect Sizes in Systematic Reviews of Complex Interventions

PLoS ONE
Multidisciplinary
2012English

New Bandwidth Selection for Kernel Quantile Estimators

Journal of Probability and Statistics
StatisticsProbability
2012English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy