Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

Results found: 3

first rewind previous Page / 1 next fast forward last

Search results

help Sort By:

help Limit search:
first rewind previous Page / 1 next fast forward last
1
Publication available in full text mode
Content available

On Efficient Difference Type Estimators

100%
Swain A. K. P. C.
Statistics in Transition new series
|
2010
|
vol. 11
|
issue 3
128-135
EN
This paper considers a more efficient difference type estimator in a finite population set-up. Ratio type and regression type estimators are derived as special cases. Further efficiencies of these estimators are compared with classical ratio and regression estimators. Numerical illustrations are provided to compare efficiencies of different competitive estimators.
2
Publication available in full text mode
Content available

On Classes of Modified Ratio Type And Regression-Cum-Ratio Type Estimators in Sample Surveys Using Two Auxiliary Variables

100%
Swain A. K. P. C.
Statistics in Transition new series
|
2012
|
vol. 13
|
issue 3
473-494
EN
In this paper generalized classes of modified ratio type and regression-cum-ratio type estimators of the finite population mean of the study variable are suggested in the presence of two auxiliary variables in simple random sampling without replacement when the population means of the auxiliary variables are known in advance. Some special cases of the generalized estimators are compared with respect to their biases and efficiencies both theoretically and with the help of some natural populations.
3
Publication available in full text mode
Content available

Some classes of modified ratio type estimators in sample surveys

63%
Swain A. K. P. C., Das M.
Statistics in Transition new series
|
2015
|
vol. 16
|
issue 1
37–52
EN
In this paper some classes of modified ratio type estimators with additive and multiplicative adjustments made to the simple mean per unit estimator and classical ratio estimator are suggested to obtain more efficient ratio type estimators compared to the classical one. Their biases and mean square errors are obtained and compared with first order approximations.
first rewind previous Page / 1 next fast forward last
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.