Improved confidence intervals based on ranked set sampling designs within a parametric bootstrap approach

DOI10.1007/s00180-022-01198-4zbMath1505.62393OpenAlexW4207054997MaRDI QIDQ2095754

Cesar Augusto Taconeli, Idemauro Antonio Rodrigues de Lara

Publication date: 15 November 2022

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-022-01198-4

zbMATH Keywords

Monte Carlo simulationdouble ranked set samplingAnderson-Darling estimationmaximum product of spacingsneoteric ranked set samplingpaired ranked set sampling

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Parametric tolerance and confidence regions (62F25) Sampling theory, sample surveys (62D05) Bootstrap, jackknife and other resampling methods (62F40)

Uses Software

• R

Cites Work

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• Ranked Set Sampling Theory with Order Statistics Background
• AN ALTERNATIVE TO MAXIMUM LIKELIHOOD BASED ON SPACINGS
• Estimating the Population Mean Using Extreme 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
• New two-stage sampling designs based on neoteric ranked set sampling
• The $\chi^2$ Test of Goodness of Fit
• A Test of Goodness of Fit

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