The Efficiency of Stratified Sampling in the Estimation of Parameters for a Bivariate Normal Population

G. H. Brown

Journal of the Royal Statistical Society Series C, 1976, vol. 25, issue 1, 1-7

Abstract: The use of stratification to obtain estimates of the parameters of a bivariate normal distribution is considered. One variate (easier, or cheaper, to measure than the other) is stratified and then paired observations are completed by sampling from each stratum, so that non‐representative sampling may be utilized to obtain more efficient estimates of some of the parameters. The large sample variance‐covariance matrix of the maximum likelihood estimates is explicitly evaluated and the small sample efficiency investigated by simulation. An example dealing with staple length and average fibre length within wool staples is given to illustrate the calculations.

Date: 1976
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2307/2346511

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:bla:jorssc:v:25:y:1976:i:1:p:1-7

Ordering information: This journal article can be ordered from
http://ordering.onli ... 1111/(ISSN)1467-9876

Access Statistics for this article

Journal of the Royal Statistical Society Series C is currently edited by R. Chandler and P. W. F. Smith

More articles in Journal of the Royal Statistical Society Series C from Royal Statistical Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().