A Robust Subset Selection Procedure for Location Parameter Case Based on Hodges-Lehmann Estimators

1988 ◽  
Author(s):  
Kang S. Lee
Keyword(s):  
Subset Selection ◽  
Selection Procedure ◽  
Location Parameter ◽  
Parameter Case ◽  
Case Based

On a Sequential Subset Selection Procedure

1988 ◽  
Author(s):  
Shanti S. Gupta ◽  
TaChen Liang
Keyword(s):  
Subset Selection ◽  
Selection Procedure

On Selecting a Subset Containing the Alternative with the Largest Priority

1994 ◽  
Vol 44 (1-2) ◽  
pp. 41-48
Author(s):  
Tong-An Hsu
Keyword(s):  
Decision Problem ◽  
Subset Selection ◽  
Selection Procedure ◽  
Selection Problem ◽  
Ratio Scale

Let A1, A2,…, A k be k alternatives for a decision problem. Saaty uses ratio scale (π1, π2,…, π k) for the priorities of the alternatives. In a subset selection problem, we derive some selection procedure to select a subset from the k alternatives which includes the largest priority.

A restricted subset selection procedure for Weibull populations

1980 ◽  
Vol 9 (13) ◽  
pp. 1371-1383 ◽  
Author(s):  
Joseph V. Kingston ◽  
Jagdish K. Patel
Keyword(s):  
Subset Selection ◽  
Selection Procedure

Selection Procedures for Location Parameters Based on Two-Sample U-Statistics

1992 ◽  
Vol 42 (3-4) ◽  
pp. 201-220 ◽  
Author(s):  
Narinder Kumar ◽  
Amar Nath Gill ◽  
Gobind P . Mehta
Keyword(s):  
Cumulative Distribution Function ◽  
Subset Selection ◽  
Location Parameter ◽  
Asymptotic Relative Efficiency ◽  
Cumulative Distribution ◽  
Absolutely Continuous ◽  
Selection Procedures ◽  
Secondary 62H10 ◽  
U Statistics ◽  
Location Parameters

Let π1, ... , πk be k independent populations and let Fi ( x)= F( x - θi) be the absolutely continuous cumulative distribution function (cdf) of the i-th population indexed by the location parameter θi; i=1,,.... k. A class of subset selection procedures based on sub-sample extrema for unequal sample sizes is proposed for the problem of selecting a subset from ( π1, .... πk) which contains the population with largest location parameter. The proposed subset selection procedures are then compared with the subset selection procedures of Hsu (1981) in the sense of Pitman ARE (asymptotic relative efficiency). It is shown that these procedures can approximately be implemented with the help of existing tables and sample size sufficient for their implementation, based on simulation results, is discussed. AMS (1980) Subject Classification: Primary 62F07; Secondary 62H10

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