On sequential procedures for the point estimation of the mean of a normal population

DOI10.1007/BF00049431zbMath0682.62050OpenAlexW2067795978MaRDI QIDQ1824327

Ajit Chaturvedi

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/bf00049431

zbMATH Keywords

lossmartingalesuniform integrabilityrisksecond-order approximationsregretAsymptotic propertiesfirst two moments of the stopping rulesmean of a normal population

Mathematics Subject Classification ID

Point estimation (62F10) Sequential estimation (62L12)

Related Items (5)

Linking the estimation and ranking and selection problems through sequential procedures: The normal case ⋮ Multi-stage point estimation of the mean of an inverse Gaussian distribution ⋮ Fixed-width confidence intervals for contrasts in the means ⋮ Second-Order Approximations to Two Classes of Sequential Estimation Procedures ⋮ Multi-stage procedures for the minimum risk and bounded risk point estimation of the location of negative exponential distribution under the modified LINEX loss function

Cites Work

• Sequential point estimation of the difference of two normal means
• On sequential point estimation of the mean of a normal distribution
• Second order approximations for sequential point and interval estimation
• Sequential point estimation of the mean when the distribution is unspecified
• On the Asymptotic Efficiency of a Sequential Procedure for Estimating the Mean
• REMARKS ON SEQUENTIAL POINT ESTIMATION

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