Equivariant estimation following selection from two normal populations having common unknown variance

10.1080/02331888.2021.2006660 ◽

2021 ◽

pp. 1-32

Author(s):

Masihuddin ◽

Neeraj Misra

Keyword(s):

Normal Populations ◽

Unknown Variance ◽

Equivariant Estimation

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An improvement on paulson's procedure for selecting the poprlation with the largest mean from k normal populations with a common unknown variance

Sequential Analysis ◽

10.1080/07474949108836222 ◽

1991 ◽

Vol 10 (1-2) ◽

pp. 1-16 ◽

Author(s):

Mark Hartmann

Keyword(s):

Normal Populations ◽

Unknown Variance

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A Sequential Multiple-Decision Procedure for Selecting the Best One of Several Normal Populations with a Common Unknown Variance, II: Monte Carlo Sampling Results and New Computing Formulae

10.2307/2527710 ◽

1962 ◽

Vol 18 (1) ◽

pp. 52 ◽

Author(s):

Robert E. Bechhofer ◽

Saul Blumenthal

Keyword(s):

Monte Carlo ◽

Decision Procedure ◽

Monte Carlo Sampling ◽

Normal Populations ◽

Unknown Variance

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SECOND-ORDER ASYMPTOTICS FOR MULTISTAGE METHODOLOGIES IN PARTITIONING A SET OF NORMAL POPULATIONS HAVING A COMMON UNKNOWN VARIANCE

Statistics & Risk Modeling ◽

10.1524/strm.1998.16.2.191 ◽

1998 ◽

Vol 16 (2) ◽

Author(s):

Sujay Datta ◽

Nitis Mukhopadhyay

Keyword(s):

Second Order ◽

Normal Populations ◽

Unknown Variance ◽

Second Order Asymptotics

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Equivariant estimation of quantile vector of two normal populations with a common mean

Hacettepe Journal of Mathematics and Statistics ◽

10.15672/hjms.2018.606 ◽

2018 ◽

Vol 48 (1) ◽

Author(s):

Manas Ranjan Tripathy ◽

Adarsha Kumar Jena ◽

Somesh Kumar

Keyword(s):

Common Mean ◽

Normal Populations ◽

Equivariant Estimation

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A Sequential Multiple-Decision Procedure for Selecting the Best One of Several Normal Populations with a Common Unknown Variance, and Its Use with Various Experimental Designs

10.2307/2527883 ◽

1958 ◽

Vol 14 (3) ◽

pp. 408 ◽

Author(s):

Robert E. Bechhofer

Keyword(s):

Decision Procedure ◽

Experimental Designs ◽

Normal Populations ◽

Unknown Variance

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A TOW-SAMPLE MULTIPLE DECISION PROCEDURE FOR RANKING MEANS OF NORMAL POPULATIONS WITH A COMMON UNKNOWN VARIANCE

10.1093/biomet/41.1-2.170 ◽

1954 ◽

Vol 41 (1-2) ◽

pp. 170-176 ◽

Author(s):

ROBERT E. BECHHOFER ◽

CHARLES W. DUNNETT ◽

MILTON SOBEL

Keyword(s):

Decision Procedure ◽

Normal Populations ◽

Unknown Variance

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Selecting from Normal Populations the One with the Largest Absolute Mean: Common Unknown Variance Case

Advances in Stochastic Simulation Methods ◽

10.1007/978-1-4612-1318-5_16 ◽

2000 ◽

pp. 283-292 ◽

Author(s):

S. Jeyaratnam ◽

S. Panchapakesan

Keyword(s):

Normal Populations ◽

Unknown Variance ◽

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A SEQUENTIAL PROCEDURE WITH ELIMINATION FOR PARTITIONING A SET OF NORMAL POPULATIONS HAVING A COMMON UNKNOWN VARIANCE

Sequential Analysis ◽

10.1081/sqa-100107649 ◽

2001 ◽

Vol 20 (4) ◽

pp. 279-292 ◽

Author(s):

Tumulesh K. S. Solanky

Keyword(s):

Sequential Procedure ◽

Normal Populations ◽

Unknown Variance

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Equivariant estimation of common mean of several normal populations

Journal of Statistical Computation and Simulation ◽

10.1080/00949655.2014.995658 ◽

2015 ◽

Vol 85 (18) ◽

pp. 3679-3699 ◽

Author(s):

Manas Ranjan Tripathy ◽

Somesh Kumar

Keyword(s):

Common Mean ◽

Normal Populations ◽

Equivariant Estimation

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Correction Note: An Undesirable Feature of a Sequential Multiple-Decision Procedure for Selecting the Best One of Several Normal Populations with a Common Unknown Variance

10.2307/2529085 ◽

1970 ◽

Vol 26 (2) ◽

pp. 347 ◽

Author(s):

Robert E. Bechhofer

Keyword(s):

Decision Procedure ◽

Normal Populations ◽

Unknown Variance ◽

Undesirable Feature

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