A Chain Ratio-Type Estimator in Finite Population Double Sampling Using Two Auxiliary Variables.
A chain regression estimator in two phase sampling using multi-auxiliary information.
A class of PPS estimators variance using auxihary information.
A comparative study of small area estimators.
It is known that direct-survey estimators of small area parameters, calculated with the data from the given small area, often present large mean squared errors because of small sample sizes in the small areas. Model-based estimators borrow strength from other related areas to avoid this problem. How small should domain sample sizes be to recommend the use of model-based estimators? How robust are small area estimators with respect to the rate sample size/number of domains?To give answers or recommendations...
A Comparison Between PPSWR and Chaudhuri's IPPS Procedures.
A Comparison of Approximately Optimal Stratification given Proportional Allocation with other Methods of Stratification and Allocation.
A Conditional Minimax Approach in Survey Sampling.
A General Class of Estimators for Estimating Population Mean Using Auxiliary Information.
A general procedure of estimating the population mean in the presence of non-response under double sampling using auxiliary information.
A method for random sampling of formulas of an elementary theory and statistical estimation of their deducibility equipped by a program. II. A method for statistical testing of an at random sampled formula
A method for random sampling of well-formed formulas. (A method for random sampling of formulas of an elementary theory and statistical estimation of their deducibility equipped by a program. I.)
A Minimax Property of Lahiri-Midzuno-Sen's Sampling Scheme.
A Non-Negativity Criterion for a Certain Variance-Estimator.
A Note on Hájek's Theory of Rejective Sampling.
A Note on Necessary Best Estimator of Order Two .
A note on Sampford-Durbin sampling
A Note on the Comparison Between Simple Random Sampling with and without Replacement.
A Note on the Optimality of k-Stage Tests.
A problem arising in finite population sampling theory.
A Simple Method of Sampling without Replacement with Inclusion-Probabilities Exactly Proportional to Size .