scholarly journals Optimal Allocation in Small Area Mean Estimation Using Stratified Sampling in the Presence of Non-Response

2021 ◽  
Vol 7 (1) ◽  
pp. 13
Author(s):  
Ongoma Jackson ◽  
Alilah David Anekeya ◽  
Okuto Erick
Keyword(s):  
Small Area ◽  
Optimal Allocation ◽  
Stratified Sampling ◽  
Mean Estimation

scholarly journals Estimation of Sensitive Attributes Using a Stratified Kuk Randomization Device

2017 ◽  
Vol 40 (1) ◽  
pp. 29-44
Author(s):  
Jong-Min Kim ◽  
Gi-Sung Lee ◽  
Ki-Hak Hong ◽  
Chang-Kyoon Son
Keyword(s):  
Optimal Allocation ◽  
Stratified Sampling ◽  
Double Sampling ◽  
Proposed Model ◽  
Sensitive Parameters ◽  
Allocation Methods

This paper suggests a stratified Kuk model to estimate the proportion of sensitive attributes of a population composed by a number of strata; this is undertaken  by applying stratified sampling to the adjusted Kuk model. The paper estimates sensitive parameters when the size of the stratum is known by taking proportional and optimal allocation methods into account and then extends to the case of an unknown stratum size, estimating sensitive parameters by applying stratified double sampling and checking the two allocation methods. Finally, the paper compares the efficiency of the proposed model to that of the Su, Sedory  and Singh model and the adjusted Kuk model in terms of the estimator variance.

Small area mean estimation after effect clustering

2019 ◽  
Vol 47 (4) ◽  
pp. 602-623
Author(s):  
Zhihuang Yang ◽  
Jiahua Chen
Keyword(s):  
Small Area ◽  
Mean Estimation ◽  
After Effect

scholarly journals Optimal allocation of stratified sampling design using Gradient Projection method

2017 ◽  
Vol 10 (1) ◽  
pp. 11-17
Author(s):  
M. A Lone ◽  
S. A Mir ◽  
Imran Khan ◽  
M. S Wani
Keyword(s):  
Projection Method ◽  
Iterative Procedure ◽  
Sampling Design ◽  
Optimal Allocation ◽  
Stratified Sampling ◽  
Gradient Projection ◽  
Integer Solution ◽  
Gradient Projection Method ◽  
Non Linear Programming ◽  
The Cost

This article deals with the problem of finding an optimal allocation of sample sizes in stratified sampling design to minimize the cost function. In this paper the iterative procedure of Rosen’s Gradient projection method is used to solve the Non linear programming problem (NLPP), when a non integer solution is obtained after solving the NLPP then Branch and Bound method provides an integer solution.

On quantiles estimation based on different stratified sampling with optimal allocation

2018 ◽  
Vol 48 (6) ◽  
pp. 1529-1544
Author(s):  
Hani Samawi ◽  
Arpita Chatterjee ◽  
Jingjing Yin ◽  
Haresh Rochani
Keyword(s):  
Optimal Allocation ◽  
Stratified Sampling
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