On the goodness-of-fit procedure for normality based on the empirical characteristic function for ranked set sampling data

DOI10.1007/s00184-012-0381-0zbMath1256.62024OpenAlexW2051625332MaRDI QIDQ1938494

María Rosa Brito, Narayanaswamy Balakrishnan, Adolfo J. Quiroz

Publication date: 21 February 2013

Published in: Metrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00184-012-0381-0

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20)

Related Items

The split-SV model ⋮ Estimation of system reliability for exponential distributions based on L ranked set sampling ⋮ The probability weighted characteristic function and goodness-of-fit testing ⋮ Efficiency of ranked set sampling in tests for normality ⋮ Measures of information for maximum ranked set sampling with unequal samples ⋮ Two new estimators of entropy for testing normality ⋮ Inferential procedures based on the integrated empirical characteristic function

Uses Software

• R

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