Direct computation of the performance of sequential procedures based on a sequence oft-statistics, with application to a confidence interval for μ/σ in a normal population

DOI10.1080/07474949208836249zbMath0746.62081OpenAlexW1495539913MaRDI QIDQ4012353

Robert A. Wijsman

Publication date: 27 September 1992

Published in: Sequential Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/07474949208836249

zbMATH Keywords

gamma factornormal populationone-sided confidence intervaldirect computationtransitive sequencebeta protectionnoncentral-distributionsequence of \(t\)-statistics

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Sequential statistical analysis (62L10) Probabilistic methods, stochastic differential equations (65C99)

Related Items (2)

A Comparison of two sequential tests forµ/σ ⋮ The Contributions of Robert A. Wijsman to Sequential Analysis

Cites Work

• Monotonicity in the noncentrality parameter of the ratio of two noncentral t-densities
• Sequential analysis. Tests and confidence intervals
• 2-SPRT's and the modified Kiefer-Weiss problem of minimizing an expected sample size
• Tables for Computing Bivariate Normal Probabilities
• NUMERICAL STUDIES IN THE SEQUENTIAL ESTIMATION OF A BINOMIAL PARAMETER
• Sequential estimation and test oriented confidence intervals for μ/σ
• Repeated significance test II, for hypotheses about the normal distribution
• A special case of a bivariate non-central t-distribution
• The Relationship Between Sufficiency and Invariance with Applications in Sequential Analysis
• Sufficiency and Statistical Decision Functions
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