Regression type tests for parametric hypotheses based on optimally selected subsets of the order statistics

DOI10.1007/BF00053068zbMath0668.62015OpenAlexW1995021593MaRDI QIDQ1118281

S. H. Smith

Publication date: 1988

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf00053068

zbMATH Keywords

order statisticsquantilesasymptotically equivalentgeneralized likelihood ratio statisticoptimal power propertiessequences of local alternativessimple and composite parametric null hypotheses

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) General nonlinear regression (62J02)

Related Items (1)

Regression type tests for parametric hypotheses based on optimally selected subsets of the order statistics

Cites Work

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• On the most powerful quantile test of the scale parameter
• Regression type tests for parametric hypotheses based on optimally selected subsets of the order statistics
• A density-quantile function approach to optimal spacing selection
• Nonlinear Regression
• Exact confidence regions for the parameters in non-linear regression laws
• Designs for Regression Problems With Correlated Errors: Many Parameters
• On the Student's Test Based on Sample Percentiles from the Normal, Logistic and Cauchy Distribution
• An optimum t‐test for the scale parameter of an extreme‐value distribution

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