dc.contributor.author |
Seber, George |
en |
dc.contributor.author |
Salehi, MM |
en |
dc.date.accessioned |
2016-12-06T23:49:13Z |
en |
dc.date.issued |
2012-10-22 |
en |
dc.identifier.citation |
70 pages. Springer Science & Business Media 22 Oct 2012 |
en |
dc.identifier.isbn |
3642336574 |
en |
dc.identifier.isbn |
9783642336577 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/31247 |
en |
dc.description.abstract |
This book aims to provide an overview of some adaptive techniques used in estimating parameters for finite populations where the sampling at any stage depends on the sampling information obtained to date. |
en |
dc.description.uri |
http://librarysearch.auckland.ac.nz/UOA2_A:Combined_Local:uoa_alma21185018460002091 |
en |
dc.publisher |
Springer Science & Business Media |
en |
dc.relation.ispartofseries |
SpringerBriefs in Statistics |
en |
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.subject |
Mathematics |
en |
dc.title |
Adaptive Sampling Designs Inference for Sparse and Clustered Populations |
en |
dc.type |
Book |
en |
dc.identifier.doi |
10.1007/978-3-642-33657-7 |
en |
pubs.author-url |
https://books.google.co.nz/books?id=fGGQv8bObcsC |
en |
pubs.publication-status |
Published |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/RestrictedAccess |
en |
pubs.subtype |
Book |
en |
pubs.elements-id |
542869 |
en |
pubs.record-created-at-source-date |
2016-12-07 |
en |