Use of Auxiliary Information: Simple Random Sampling

Sarjinder Singh
Additional contact information
Sarjinder Singh: St. Cloud State University, Department of Statistics

Chapter 3 in Advanced Sampling Theory with Applications, 2003, pp 137-294 from Springer

Abstract: Abstract It is well known that suitable use of auxiliary information in probability sampling results in considerable reduction in the variance of the estimators of population parameters viz. population mean (or total), median, variance, regression coefficient, and population correlation coefficient, etc.. In this chapter we will consider the problem of estimation of different population parameters of interest to survey statisticians using known auxiliary information under SRSWOR and SRSWR sampling schemes only. Before proceeding further it is necessary to define some notation and expected values, which will be useful throughout this chapter.

Keywords: Mean Square Error; Auxiliary Variable; Minimum Mean Square Error; Simple Random Sampling; Ratio Estimator (search for similar items in EconPapers)
Date: 2003
References: Add references at CitEc
Citations: View citations in EconPapers (1)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-94-007-0789-4_3

Ordering information: This item can be ordered from
http://www.springer.com/9789400707894

DOI: 10.1007/978-94-007-0789-4_3

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().