Back to Search
Start Over
Improved Exponential Type Estimators for Finite Population Mean in Stratified Random Sampling
- Source :
- Pakistan Journal of Statistics and Operation Research; Vol. 12 No. 3, 2016; 429-441, Pakistan Journal of Statistics and Operation Research, Vol 12, Iss 3, Pp 429-441 (2016)
- Publication Year :
- 2016
- Publisher :
- College of Statistical and Actuarial Sciences, 2016.
-
Abstract
- In this paper new exponential type estimators are suggested for estimating the population mean in stratified random sampling. The biases and mean square errors of the suggested estimators are obtained. Also an empirical study is carried out to show the properties of the proposed estimators.
- Subjects :
- Statistics and Probability
Mean squared error
0211 other engineering and technologies
Ratio estimator
Stratified random sampling
Efficiency
02 engineering and technology
Management Science and Operations Research
01 natural sciences
010104 statistics & probability
Exponential estimator
Mean square error
Statistics
62D05
0101 mathematics
lcsh:Statistics
lcsh:HA1-4737
Bootstrapping (statistics)
Mathematics
021103 operations research
Minimum mean square error
Statistics, Sampling, Ratio Estimator
Population mean
lcsh:Mathematics
Estimator
lcsh:QA1-939
Exponential type
Stratified sampling
Modeling and Simulation
Statistics, Probability and Uncertainty
Subjects
Details
- Language :
- English
- ISSN :
- 23813652, 22205810, and 18162711
- Database :
- OpenAIRE
- Journal :
- IndraStra Global
- Accession number :
- edsair.doi.dedup.....8e061a95670ed992f65f666417a8cbaa