Sampling

Sampling provides an up-to-date treatment of both classical and modern sampling design and estimation methods, along with sampling methods for rare, clustered, and hard-to-detect populations. This Third Edition retains the general organization of the two previous editions, but incorporates extensive...

Full description

Bibliographic Details
Main Author: Thompson, Steven K.
Format: eBook
Language:English
Published: Hoboken, NJ Wiley 2012
Edition:Third edition
Series:Wiley series in probability and statistics
Subjects:
Online Access:
Collection: Wiley Online Books - Collection details see MPG.ReNa
LEADER 02048nmm a2200325 u 4500
001 EB002007082
003 EBX01000000000000001169982
005 00000000000000.0
007 cr|||||||||||||||||||||
008 211213 ||| eng
020 |a 9781118162934 
050 4 |a QA276 
100 1 |a Thompson, Steven K. 
245 0 0 |a Sampling  |h Elektronische Ressource  |c Steven K. Thompson, Simon Fraser University 
250 |a Third edition 
260 |a Hoboken, NJ  |b Wiley  |c 2012 
300 |a xxi, 436 Seiten 
653 |a Stichprobe 
653 |a Statistik 
653 |a Lehrbuch 
041 0 7 |a eng  |2 ISO 639-2 
989 |b WILOB  |a Wiley Online Books 
490 0 |a Wiley series in probability and statistics 
028 5 0 |a 10.1002/9781118162934 
776 |z 9780470402313 
856 4 0 |u https://doi.org/10.1002/9781118162934  |x Verlag  |3 Volltext 
082 0 |a 519.52 
648 4 |a Lehrbuch 
650 4 |a Sampling (Statistics) 
520 |a Sampling provides an up-to-date treatment of both classical and modern sampling design and estimation methods, along with sampling methods for rare, clustered, and hard-to-detect populations. This Third Edition retains the general organization of the two previous editions, but incorporates extensive new material—sections, exercises, and examples—throughout. Inside, readers will find all-new approaches to explain the various techniques in the book; new figures to assist in better visualizing and comprehending underlying concepts such as the different sampling strategies; computing notes for sample selection, calculation of estimates, and simulations; and more. Organized into six sections, the book covers basic sampling, from simple random to unequal probability sampling; the use of auxiliary data with ratio and regression estimation; sufficient data, model, and design in practical sampling; useful designs such as stratified, cluster and systematic, multistage, double and network sampling; detectability methods for elusive populations; spatial sampling; and adaptive sampling designs.