Efficiency of Domain Mean Estimators in the Presence of Non-response Using Two-Stage Sampling with Non-linear and Linear Cost Function

Alilah, David Anekeya; Ouma, Christopher; Ombaka, E. O.

doi:10.1007/s40745-020-00312-x

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction2

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2021

2024

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Various nonresponses [ 2 ] have explained using multistage sampling. Non-response has been estimated [ [3] , [4] , [5] , [6] ] among others, who have worked in this area? Some references [ [7] , [8] , [9] ], and many others have applied the non-response method to the study variable.…”

Section: Introductionmentioning

confidence: 99%

Simulation analysis of non-respondent information in context of small domain

Ashutosh,

Stefan,

Rai

et al. 2024

Heliyon

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Simulation analysis of non-respondent information in context of small domain

Ashutosh,

Stefan,

Rai

et al. 2024

Heliyon

View full text Add to dashboard Cite

“…Hence, we use the idea of Hansen and Hurwitz (1946). Alilah et al (2020) have been discussed about the non-response with two stage sampling. In the present work, we proposed stratified based estimators for domain mean with non-response.…”

Section: Introductionmentioning

confidence: 99%

Estimator of Domain Mean Using Stratified Sampling in the Presence on Non-Response

Ashutosh

2021

Sri Lankan J App Stats

View full text Add to dashboard Cite

The present work investigated a direct estimator of domain mean which helps for future work in the field of small area estimation. Our investigation will helpful when the availability of non-response in strata which may or may not be the same in all the domains. We discussed the proposed estimators for domain mean utilizing stratified sampling with non-response and also studied its properties. Proposed estimator has compared with a direct ratio estimator for domain mean utilizing stratified sampling with non-response where, non-response is available approximately (30%) in the domain. We considered two situations in the first, non-responses are approximately (30%). However, in second case, different non-responses like 20 % and 40 % in the strata 1 and 2 respectively. An empirical study has been carried out for the data Sarndal et al. (1992) in terms of the mean square error. We obtained that proposed generalized investigation is more efficient than ratio estimator in case i over case ii. It is analyzed that the direct generalized investigation is a better choice over direct ratio estimate with or without non-responses in both the cases.

show abstract

Efficiency of Domain Mean Estimators in the Presence of Non-response Using Two-Stage Sampling with Non-linear and Linear Cost Function

Cited by 2 publications

References 8 publications

Simulation analysis of non-respondent information in context of small domain

Simulation analysis of non-respondent information in context of small domain

Estimator of Domain Mean Using Stratified Sampling in the Presence on Non-Response

Contact Info

Product

Resources

About