Multi-stage point and interval estimation of the largest mean of k normal populations and the associated second-order properties

DOI10.1007/BF02613535zbMath0697.62077MaRDI QIDQ911197

Lynn Kuo, Nitis Mukhopadhyay

Publication date: 1990

Published in: Metrika (Search for Journal in Brave)

Full work available at URL: https://eudml.org/doc/176309

zbMATH Keywords

second-order approximationspoint estimationnormal populationsaverage sample sizemaximal riskunknown meansfixed-width confidence intervalconfidence coefficientassociated risksAsymptotic second order expansionscommon unknown varianceinterval estimation procedures for the largest meanmulti- stage estimation proceduressequential and three-stage procedures

Mathematics Subject Classification ID

Sequential estimation (62L12)

Related Items (2)

Further developments in estimation of the largest mean of K normal populations ⋮ Estimating probability of occurrence of the most likely multinomial event

Cites Work

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• Asymptotic theory of triple sampling for sequential estimation of a mean
• Second order approximations for sequential point and interval estimation
• An asymptotically optimal sequential procedure for the estimation of the largest mean
• Sequential estimation problems for negative exponential populations
• A note on three-stage and sequential point estimation puocedures for a normal mean
• Sequential Point Estimation of the Parameter of a Rectangular Distribution
• On the Asymptotic Theory of Fixed-Width Sequential Confidence Intervals for the Mean
• Interval Estimation of the Largest Mean of k Normal Populations with Known Variances

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