Regression type tests for parametric hypotheses based on sums of squared L-statistics

DOI10.1016/0378-3758(86)90176-XzbMath0608.62027OpenAlexW2019818043MaRDI QIDQ1085907

B. George

Publication date: 1986

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0378-3758(86)90176-x

zbMATH Keywords

convergence in distributionnon-central chi squarelocation scale modelsasymptotically equivalent in distributiongeneralized likelihood ratio statisticsum of squared L-statistics

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Asymptotic properties of parametric tests (62F05)

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Cites Work

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• Optimal goodness-of-fit tests for location-scale families of distributions based on the sum of squares of L-statistics
• Nonlinear Regression
• Nonparametric Statistical Data Modeling
• Exact confidence regions for the parameters in non-linear regression laws
• Tests of Statistical Hypotheses Concerning Several Parameters When the Number of Observations is Large