Add to ORKGWe give an introduction to the logistic and generalized logistic distributions. We obtain exact results for the probability of correct selection from Type-I and Type-II generalized logistic populations which only differ in their location parameter. Some open problems are formulated
Assume two independent populations are given. The associated independent random variables have Norma...
Assume two independent populations are given. The associated independent random variables have Norma...
Assume k (k \geq 2) populations are given. The associated independent random variables have continuo...
We give an introduction to the logistic and generalized logistic distributions. We obtain exact resu...
We give an introduction to the logistic and generalized logistic distributions. These generalized lo...
Some distributional results are derived for subset selection from Logistic populations, differing on...
Some distributional results are derived for subset selection from Logistic populations, differing on...
Given are k (\geq 2) random variables X_1, ..., X_k associated with k populations \pi_i, ..., \pi_k,...
Assume k (integer k \geq 2) independent populations \pi_1, \pi_2, ..., \pi_k are given. The associat...
Assume k (integer k \geq 2) independent populations \pi_1, \pi_2, ..., \pi_k are given. The associat...
Assume k (??k \geq 2) populations are given. The associated independent random variables have contin...
Assume k (??k \geq 2) populations are given. The associated independent random variables have contin...
We give an introduction to the logistic and generalized logistic distributions. We obtain exact resu...
We give an introduction to the logistic and generalized logistic distributions. These generalized lo...
We give an introduction to the logistic and generalized logistic distributions. These generalized lo...
Assume two independent populations are given. The associated independent random variables have Norma...
Assume two independent populations are given. The associated independent random variables have Norma...
Assume k (k \geq 2) populations are given. The associated independent random variables have continuo...
We give an introduction to the logistic and generalized logistic distributions. We obtain exact resu...
We give an introduction to the logistic and generalized logistic distributions. These generalized lo...
Some distributional results are derived for subset selection from Logistic populations, differing on...
Some distributional results are derived for subset selection from Logistic populations, differing on...
Given are k (\geq 2) random variables X_1, ..., X_k associated with k populations \pi_i, ..., \pi_k,...
Assume k (integer k \geq 2) independent populations \pi_1, \pi_2, ..., \pi_k are given. The associat...
Assume k (integer k \geq 2) independent populations \pi_1, \pi_2, ..., \pi_k are given. The associat...
Assume k (??k \geq 2) populations are given. The associated independent random variables have contin...
Assume k (??k \geq 2) populations are given. The associated independent random variables have contin...
We give an introduction to the logistic and generalized logistic distributions. We obtain exact resu...
We give an introduction to the logistic and generalized logistic distributions. These generalized lo...
We give an introduction to the logistic and generalized logistic distributions. These generalized lo...
Assume two independent populations are given. The associated independent random variables have Norma...
Assume two independent populations are given. The associated independent random variables have Norma...
Assume k (k \geq 2) populations are given. The associated independent random variables have continuo...