On a Use of Stratified Sampling in Optimal Estimation.
On Bayesian Optimum Allocation in Some Two Phase Sampling Problems.
On Brewer's Class of Robust Sampling Designs for Large-Scale Surveys.
On Efficiency of the Ratio Estimator.
On Estimating the Variance of a Finite Population.
On Hájek's conjecture in stratified sampling
On Interpenetrating Samples of Unequal Sizes.
On Non-Negative Variance-Estimation.
On Some Alternative Sampling Strategies Using Auxiliary Information.
On some strategies using auxiliary information for estimating finite population mean.
This paper presents an empirical investigation of the performance of five strategies for estimating the finite population mean using parameters such as mean or variance or both of an auxiliary variable. The criteria used for the choices of these strategies are bias, efficiency and approach to normality (asymmetry).
On the Admissibility of Estimators for the Finite Population Variance.
On the asymptotic optimum allocation in estimating inequality from complete data
On the Completeness of Certain Classes of two Stage Sampling Strategies.
On the Derivation of Expected Value and Variance of Ratios without the Use of Infinite Series Expansions.
On the Generalization of Rao, Hartley and Cochran's Scheme.
On the Rao-Blackwell Theorem for fuzzy random variables
In a previous paper, conditions have been given to compute iterated expectations of fuzzy random variables, irrespectively of the order of integration. In another previous paper, a generalized real-valued measure to quantify the absolute variation of a fuzzy random variable with respect to its expected value have been introduced and analyzed. In the present paper we combine the conditions and generalized measure above to state an extension of the basic Rao–Blackwell Theorem. An application of this...
On the theory of ratio estimates
On two methods of unbiased estimation in two-phase sampling using two auxiliary variables.
On Two Properties of an Unequal Probability Sampling Scheme.
On UMV-Estimators in Survey Sampling.