On the Estimation of Population Mean Under Systematic Sampling Using Auxiliary Attributes | Zendy

Usman Shahzad | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

On the Estimation of Population Mean Under Systematic Sampling Using Auxiliary Attributes

Author(s) -

Usman Shahzad

Publication year - 2016

Publication title -

oriental journal of physical sciences

Language(s) - English

Resource type - Journals

ISSN - 2456-799X

DOI - 10.13005/ojps01.0102.05

Subject(s) - estimator , population mean , simple random sample , mean squared error , mathematics , systematic sampling , statistics , sampling (signal processing) , population , sampling scheme , sampling design , estimation , computer science , engineering , demography , filter (signal processing) , sociology , computer vision , systems engineering

Systematic random sampling is the simplest type of sampling scheme, requires only one random start. It provides good results in some situations like; forest regions for assessing the volume of the timber etc. For details see Murthy (1967) and Cochran (1977). When supplementary information is available Swain (1964), Shukla (1971), Singh and Solanki (2012), and Singh et al. (2012) have developed some estimators for using available supplementary information. But none of these have paid their attention towards auxiliary attributes. So in our work, we utilize available auxiliary attributes.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research