Statistics for real-life sample surveys: non-simple-random samples and weighted data
Samples used in social and commercial surveys, especially of the general population, are usually less random (often by design) than many people using them realise. Unless it is understood, this 'non-randomness' can compromise the conclusions drawn from the data. This book introduces the ch...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2006
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 Volltext |
| Zusammenfassung: | Samples used in social and commercial surveys, especially of the general population, are usually less random (often by design) than many people using them realise. Unless it is understood, this 'non-randomness' can compromise the conclusions drawn from the data. This book introduces the challenges posed by less-than-perfect samples, giving background knowledge and practical guidance for those who have to deal with them. It explains why samples are, and sometimes should be, non-random in the first place; how to assess the degree of non-randomness; when correction by weighting is appropriate and how to apply it; and how the statistical treatment of these samples must be adapted. Extended data examples show the techniques at work. This is a book for practising researchers. It is a reference for the methods and formulae needed to deal with commonly encountered situations and, above all, a source of realistic and implementable solutions |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (ix, 266 pages) |
| ISBN: | 9780511543265 |
| DOI: | 10.1017/CBO9780511543265 |
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Datensatz im Suchindex
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| author | Dorofeev, Sergey |
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| bvnumber | BV043942946 |
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| contents | Sampling methods Weighting Statistical effects of sampling and weighting Significance testing Measuring relationships between variables |
| ctrlnum | (ZDB-20-CBO)CR9780511543265 (OCoLC)967685553 (DE-599)BVBBV043942946 |
| dewey-full | 519.52 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.52 |
| dewey-search | 519.52 |
| dewey-sort | 3519.52 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1017/CBO9780511543265 |
| format | Electronic eBook |
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| id | DE-604.BV043942946 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:39:18Z |
| institution | BVB |
| isbn | 9780511543265 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029351916 |
| oclc_num | 967685553 |
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| owner_facet | DE-12 DE-92 |
| physical | 1 online resource (ix, 266 pages) |
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| publishDate | 2006 |
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| publisher | Cambridge University Press |
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| spelling | Dorofeev, Sergey Verfasser aut Statistics for real-life sample surveys non-simple-random samples and weighted data Sergey Dorofeev and Peter Grant Cambridge Cambridge University Press 2006 1 online resource (ix, 266 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) 1 Sampling methods 2 Weighting 3 Statistical effects of sampling and weighting 4 Significance testing 5 Measuring relationships between variables Samples used in social and commercial surveys, especially of the general population, are usually less random (often by design) than many people using them realise. Unless it is understood, this 'non-randomness' can compromise the conclusions drawn from the data. This book introduces the challenges posed by less-than-perfect samples, giving background knowledge and practical guidance for those who have to deal with them. It explains why samples are, and sometimes should be, non-random in the first place; how to assess the degree of non-randomness; when correction by weighting is appropriate and how to apply it; and how the statistical treatment of these samples must be adapted. Extended data examples show the techniques at work. This is a book for practising researchers. It is a reference for the methods and formulae needed to deal with commonly encountered situations and, above all, a source of realistic and implementable solutions Sampling (Statistics) Grant, Peter Sonstige oth Erscheint auch als Druckausgabe 978-0-521-67465-2 Erscheint auch als Druckausgabe 978-0-521-85803-8 https://doi.org/10.1017/CBO9780511543265 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Dorofeev, Sergey Statistics for real-life sample surveys non-simple-random samples and weighted data Sampling methods Weighting Statistical effects of sampling and weighting Significance testing Measuring relationships between variables Sampling (Statistics) |
| title | Statistics for real-life sample surveys non-simple-random samples and weighted data |
| title_alt | Sampling methods Weighting Statistical effects of sampling and weighting Significance testing Measuring relationships between variables |
| title_auth | Statistics for real-life sample surveys non-simple-random samples and weighted data |
| title_exact_search | Statistics for real-life sample surveys non-simple-random samples and weighted data |
| title_full | Statistics for real-life sample surveys non-simple-random samples and weighted data Sergey Dorofeev and Peter Grant |
| title_fullStr | Statistics for real-life sample surveys non-simple-random samples and weighted data Sergey Dorofeev and Peter Grant |
| title_full_unstemmed | Statistics for real-life sample surveys non-simple-random samples and weighted data Sergey Dorofeev and Peter Grant |
| title_short | Statistics for real-life sample surveys |
| title_sort | statistics for real life sample surveys non simple random samples and weighted data |
| title_sub | non-simple-random samples and weighted data |
| topic | Sampling (Statistics) |
| topic_facet | Sampling (Statistics) |
| url | https://doi.org/10.1017/CBO9780511543265 |
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