A SELECTION PROCEDURE FOR GOOD LOGISTICS POPULATIONS |
Singh, Parminder
(Department of Mathematics, Gurn Nanak Dev University)
Gill, A.N. (Department of Statistics, Panjab University) |
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Contributions to Selection and Ranking Theory with Special Reference to Logistic Population
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Multiple comparisons with the best treatment
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ScienceOn |
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Recherches mathematiques sur la loi d'accroissement de la population
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A single-sample multiple decision procedure for ranking means of normal population with known variances
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Simultaneous confidence intervals for testing for all distances from the best
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Simultaneous upper confidence bounds for distances from the best two parameter exponential distribution
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A selection problem
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Selecting logistics populations using the sample median
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On some multiple decision(selection and ranking) and ranking rules
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A new procedure for selecting good populations
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Selection of good populations : The scale parameter case
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Subset selection for an best population : Efficiency results
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Subset selection of an almost best treatment
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A new subset selection theory for all best populations and its applications
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Selection from logistic populations
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