On the most powerful location and scale invariant tests based on an incomplete set of order statistics

DOI10.1007/BF02365365zbMath0906.62043OpenAlexW1980749659MaRDI QIDQ1269932

Eh. M. Kudlaev

Publication date: 24 November 1998

Published in: Journal of Mathematical Sciences (New York) (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02365365

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Parametric hypothesis testing (62F03) Foundations and philosophical topics in statistics (62A01) Order statistics; empirical distribution functions (62G30)

Cites Work

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• The most powerful scale and location invariant test of the normal versus the double exponential
• On Estimating Distribution Parameters From Segments of a Variational Series
• An Optimum Test Property of Two Well-Known Statistics
• Likelihood Ratio Test for Discrimination between Two Models with Unknown Location and Scale Parameters
• Discrimination between the Log-Normal and the Weibull Distributions
• Maximum Likelihood Estimation in Truncated Samples

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