Large sample inference for diagnostic normal limits in gaussian populations

DOI10.1080/03610928508829015zbMath0587.62052OpenAlexW2020395969MaRDI QIDQ3713340

S. M. Rudolfer, Michael G. Campbell

Publication date: 1985

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610928508829015

zbMATH Keywords

percentilesrate of convergencediagnosisBehrens-Fisher problempooled estimatortolerance intervallarge sample testWelch's testchi distributionequality of Gaussian population normal limitsmean-square-error consistent estimatorsnerve conduction studies

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Parametric hypothesis testing (62F03) Point estimation (62F10)

Related Items (4)

Simultaneous confidence intervals for the quantile differences of several two-parameter exponential distributions under the progressive type II censoring scheme ⋮ Testing the equality of quantiles for several normal populations ⋮ Constructing a confidence interval for the ratio of normal distribution quantiles ⋮ Testing equality of quantiles of two-parameter exponential distributions under progressive type II censoring

Cites Work

• Robustness of normal tolerance intervals
• THE SIGNIFICANCE OF THE DIFFERENCE BETWEEN TWO MEANS WHEN THE POPULATION VARIANCES ARE UNEQUAL
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