A SELECTION PROCEDURE FOR GOOD LOGISTICS POPULATIONS |
Singh, Parminder
(Department of Mathematics, Gurn Nanak Dev University)
Gill, A.N. (Department of Statistics, Panjab University) |
1 |
Contributions to Selection and Ranking Theory with Special Reference to Logistic Population
/
|
2 |
/
|
3 |
Multiple comparisons with the best treatment
/
ScienceOn |
4 |
Recherches mathematiques sur la loi d'accroissement de la population
/
|
5 |
A single-sample multiple decision procedure for ranking means of normal population with known variances
/
ScienceOn |
6 |
Selecting logistics populations using the sample median
/
|
7 |
Simultaneous confidence intervals for testing for all distances from the best
/
ScienceOn |
8 |
Simultaneous upper confidence bounds for distances from the best two parameter exponential distribution
/
|
9 |
A selection problem
/
ScienceOn |
10 |
On some multiple decision(selection and ranking) and ranking rules
/
ScienceOn |
11 |
Selection of good populations : The scale parameter case
/
|
12 |
Subset selection for an best population : Efficiency results
/
|
13 |
Subset selection of an almost best treatment
/
|
14 |
A new procedure for selecting good populations
/
ScienceOn |
15 |
A new subset selection theory for all best populations and its applications
/
|
16 |
Selection from logistic populations
/
|
![]() |