Moments ofL-Statistics: A Divided Differences Approach

DOI10.1080/03610910701858389zbMath1160.62044OpenAlexW2067422416MaRDI QIDQ3625310

Publication date: 12 May 2009

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610910701858389

zbMATH Keywords

\(L\)-statistics \(L\)-moments

Mathematics Subject Classification ID

Software, source code, etc. for problems pertaining to statistics (62-04) Order statistics; empirical distribution functions (62G30)

Cites Work

Unnamed Item
Trimmed L-moments
Estimation of quantile mixtures via L-moments and trimmed L-moments
Multivariate splines: a probabilistic perspective
Some properties of progressive censored order statistics from arbitrary and uniform distributions with applications to inference and simulation.
\(L\)-statistics in complex survey problems
Linear functions of order statistics with smooth weight functions
Bounds on expectation of order statistics from a finite population
Bounds on expectations of \(L\)-statistics from without replacement samples
On some expressions for variance, covariance, skewness and L-moments
On Polya frequency functions. IV: The fundamental spline functions and their limits
On calculating with B-splines
On the characterization of distributions by their \(L\)-moments
Robust L Estimation of Scale With an Application in Astronomy
Upper (lower) bounds on the mean of the maximum (minimum) of a number of random variables
Bounds for the expectation of linear combinations of order statistics with application to pert networks
LINEAR FUNCTIONS OF UNIFORM ORDER STATISTICS AND B-SPLINES
Control charts based on linear combinations of order statistics
A Robust Analysis of Crossover Designs Using Multisample Generalized L-Statistics
Optimal bounds onl-statistics based on samples drawn with replacement from finite populations
The Distribution of Linear Combinations of Order Statistics from the Uniform Distribution
Bounds forL-Statistics from Weakly Dependent Samples of Random Length
LEAST-SQUARES ESTIMATION OF LOCATION AND SCALE PARAMETERS USING ORDER STATISTICS

This page was built for publication: Moments ofL-Statistics: A Divided Differences Approach