Some Remarks on General Theory for Unbiased Estimation of a Real Parameter of a Finite Population

Kei Takeuchi ()
Additional contact information
Kei Takeuchi: Professor Emeritus, The University of Tokyo

Chapter Chapter 8 in Contributions on Theory of Mathematical Statistics, 2020, pp 201-218 from Springer

Abstract: Abstract Estimation of the parameter in a finite population based on random sampling may be regarded as a special case of randomized design without errors of measurement. The purpose of this chapter is to present a formulation of the theory of unbiased estimation for the case of sampling from finite populations in the most general setup.

Date: 2020
References: Add references at CitEc
Citations:

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:978-4-431-55239-0_8

Ordering information: This item can be ordered from
http://www.springer.com/9784431552390

DOI: 10.1007/978-4-431-55239-0_8

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 ().