Shanti S. Gupta

TL;DR: In this article, the problem of allocation of m observations in an optimum way among the k populations, given all of the information, prior and first stage observations, gathered so far, is formulated and discussed in a more general framework, and specific results for the normal case with independent conjugate priors under linear loss.

TL;DR: In this article, the use of tables for multiple decision rules, multiple comparison problems, and some tests of hypotheses is discussed, and the method of evaluation of the percentage points is discussed.

TL;DR: In this article, the estimation of the parameters (both location and scale) of the logistic distribution using sample quantities and order statistics is investigated, and three kinds of estimators have been considered.

TL;DR: In this article, from two independent normal populations with unknown means and a common known variance, samples of unequal sizes are observed at stage 1 and optimum allocations ofm additional observations, at stage 2, are derived under the linear and the 0-1 loss.

TL;DR: In this article, a joint k-variate normal distribution with zero means, common unknown varianceσ2 and known correla- tion matrix (ρij) where ρi j = ρ for all i ≠ j.