A new auxiliary variables-based estimator for population distribution function under stratified random sampling and non-response
Abstract Population distribution function is a particular area in sample surveys, and several researchers have worked to improve the accuracy of this study by using the auxiliary data. Recent studies estimate the population distribution function by applying stratified random sampling and non-respons...
Saved in:
| Main Authors: | Sohail Ahmad, Hasnain Iftikhar, Moiz Qureshi, Ilyas Khan, Abdoalrahman S. A. Omer, Elías A. Torres Armas, Javier Linkolk López-Gonzales |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-98246-y |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Daily Crude Oil Prices Forecasting Using a Novel Hybrid Time Series Technique
by: Hasnain Iftikhar, et al.
Published: (2025-01-01) -
Some Improved Classes of Estimators in Stratified Sampling Using Bivariate Auxiliary Information
by: Shashi Bhushan, et al.
Published: (2022-01-01) -
On Estimation of Distribution Function Using Dual Auxiliary Information under Nonresponse Using Simple Random Sampling
by: Saddam Hussain, et al.
Published: (2020-01-01) -
A Generalized Class of Exponential Type Estimators for Population Mean under Systematic Sampling Using Two Auxiliary Variables
by: Mursala Khan
Published: (2016-01-01) -
Estimation for Two Sensitive Variables Using Randomization Response Model Under Stratified Random Sampling
by: Gi-Sung Lee, et al.
Published: (2025-01-01)