Estimation of distribution function using L ranked set sampling and robust extreme ranked set sampling with application to reliability
From MaRDI portal
Publication:2095758
DOI10.1007/s00180-022-01201-yzbMath1505.62009OpenAlexW4220874706MaRDI QIDQ2095758
Publication date: 15 November 2022
Published in: Computational Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00180-022-01201-y
reliabilitydistribution functionstress-strengthL ranked set samplingranking errorsrobust extreme ranked set sampling
Computational methods for problems pertaining to statistics (62-08) Point estimation (62F10) Sampling theory, sample surveys (62D05) Reliability and life testing (62N05)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Quartile ranked set sampling for estimating the distribution function
- Parametric estimation of location and scale parameters in ranked set sampling
- The efficiency of L ranked set sampling in estimating the distribution function
- Ranked set sampling. Theory and applications
- A more efficient proportion estimator in ranked set sampling
- Rayleigh distribution revisited via ranked set sampling
- Ratio estimators based on a ranked set sample in a finite population setting
- Designing robust modified R control charts for asymmetric distributions under ranked set and median ranked set sampling
- Generalized robust-regression-type estimators under different ranked set sampling
- Robust confidence intervals for a proportion using ranked-set sampling
- Efficient estimation of cumulative distribution function using moving extreme ranked set sampling with application to reliability
- EDF-based tests of exponentiality in pair ranked set sampling
- Nonparametric maximum-likelihood estimation of within-set ranking errors in ranked set sampling
- Estimation of mean based on modified robust extreme ranked set sampling
- L Ranked Set Sampling: A Generalization Procedure for Robust Visual Sampling
- Unbiased Estimation ofP(X > Y) for Exponential Populations Using Order Statistics with Application in Ranked Set Sampling
- Ranked Set Sampling Theory with Order Statistics Background
- Robust extreme ranked set sampling
- Characterization of a Ranked-Set Sample with Application to Estimating Distribution Functions
- Nonparametric Maximum Likelihood Estimation Based on Ranked Set Samples
- Pair Rank Set Sampling
- Ranked Set Sampling
- Distribution function estimation using concomitant-based ranked set sampling
- Estimation of Ratio Using Rank Set Sampling
- Robust extreme double ranked set sampling
- New ranked set sampling for estimating the population mean and variance
- Estimation based on ranked set sampling for the two-parameter Birnbaum–Saunders distribution
- Stratified pair ranked set sampling
- New distribution function estimators and tests of perfect ranking in concomitant-based ranked set sampling
- Estimation of the distribution function under hybrid ranked set sampling
- A new sampling method for estimating the population mean
This page was built for publication: Estimation of distribution function using L ranked set sampling and robust extreme ranked set sampling with application to reliability