Abstract
The Sri Lankan Journal of Applied Statistics(SLJAS) is an open-access, international, double-blind peer-reviewed journal published by the Institute of Applied Statistics, Sri Lanka (IASSL). The main purpose of the journal is to publish the results of original work on applications of Statistics and on theoretical and methodical aspects of Statistics. The journal also welcomes critical reviews including conceptual discussions, opinions and book reviews. Applications of Statistics in the area of Agriculture & Forestry, Medical, Dental and Veterinary Sciences, Natural, Physical Sciences, Social Sciences, Economics and Actuarial Science fall within the scope of the journal. This journal does not charge any fee for article processing and submission.
Highlights
Estimation of domain parameter plays significant role in recent years due to increasing the vital interest in the government policy and well-organized plan for, distribution of different facilities such as flood affected regions, coastal regions, socio-economic, depressed areas, topography, etc in the demanded regions
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 proposed stratified based estimators for domain mean with non-response
Summary
Estimation of domain parameter plays significant role in recent years due to increasing the vital interest in the government policy and well-organized plan for, distribution of different facilities such as flood affected regions, coastal regions, socio-economic, depressed areas, topography, etc in the demanded regions. The direct estimator for domain mean gives a better result over indirect estimates for study domains. The indirect estimator is a better choice than the direct estimator (Gonzalez, 1973). In this relation, the imminent contributions have been discussed by Ghosh and Rao (1994) and Rehman (2008). Due to complex types of demand in the industries, a typical situation arises the nonresponse units present in the strata within the domain. In such a scenario, estimates could not give precise result. We proposed stratified based estimators for domain mean with non-response. Response units are available of auxiliary character corresponding to study character
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