Linear combination of estimators in probability proportional to sizes sampling to estimate the population
In this paper we have studied the gain of efficiency and the relative bias of linear weighted estimators over conventional estimators under probability proportional to size with replacement (ppswr) sampling for a wide variety of populations. The five number summary statistics for the relative bias a...
Main Authors: | Satish Kumar Agarwal, Mariam Al Mannai |
---|---|
Format: | Article |
Language: | English |
Published: |
University of Bologna
2013-05-01
|
Series: | Statistica |
Online Access: | http://rivista-statistica.unibo.it/article/view/3548 |
Similar Items
-
Missing-data Imputation and Corresponding Estimator Adjustment for Stratified Sampling with Probability Proportional to Size
by: LI, SHU-NUAN, et al.
Published: (2004) -
Estimating the necessary sample size for a binomial proportion confidence interval with low success probabilities
by: Ahlers, Zachary
Published: (2017) -
On selecting sampling units with probabilities proportional to sizes and without replacement
by: Liu, Tong-Sang.
Published: (2015) -
Estimating the volume of coarse woody debris of forest floor using sampling with probability proportional methods
by: Somayyeh Izadi, et al.
Published: (2015-06-01) -
Estimating Population Proportions by Means of Calibration Estimators
by: SERGIO MARTÍNEZ, et al.
Published: (2015-01-01)