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The text is suitable for upper-level undergraduate or graduate statistics students, as well as non-statistics majors interested in sampling concepts. Students willing to engage with the rigor of survey statistics will find valuable insights. Recent updates enhance traditional survey sampling courses, addressing critical issues such as low response rates, non-probability surveys, and internet data collection, which have gained importance in recent years. This authoritative text teaches survey design and analysis through examples from various fields, including social sciences, public health, and agriculture. A foundational understanding of introductory statistics, including probability and linear regression, is recommended, with optional sections for those well-versed in mathematical statistics. The thoroughly revised third edition introduces a new chapter on nonprobability samples, detailing their use and evaluation. Over 200 new examples and exercises enrich the content. Additionally, a companion website offers datasets, computer code, and links to two supplementary books that provide step-by-step guides for using R or SAS software. Instructors can choose between the SAS or R companions for practical application.
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Sampling, Sharon L. Lohr
- Langue
- Année de publication
- 2021
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- (rigide)
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- Titre
- Sampling
- Sous-titre
- Design and Analysis - Third Edition
- Langue
- Anglais
- Auteurs
- Sharon L. Lohr
- Éditeur
- Chapman and Hall/CRC
- Publié
- 2021
- Format
- rigide
- Pages
- 674
- ISBN10
- 0367279509
- ISBN13
- 9780367279509
- Séries
- Mots clés
- Nonfiction, Science et Mathématiques, Mathématiques
- Évaluation
- 5 sur 5
- Description
- The text is suitable for upper-level undergraduate or graduate statistics students, as well as non-statistics majors interested in sampling concepts. Students willing to engage with the rigor of survey statistics will find valuable insights. Recent updates enhance traditional survey sampling courses, addressing critical issues such as low response rates, non-probability surveys, and internet data collection, which have gained importance in recent years. This authoritative text teaches survey design and analysis through examples from various fields, including social sciences, public health, and agriculture. A foundational understanding of introductory statistics, including probability and linear regression, is recommended, with optional sections for those well-versed in mathematical statistics. The thoroughly revised third edition introduces a new chapter on nonprobability samples, detailing their use and evaluation. Over 200 new examples and exercises enrich the content. Additionally, a companion website offers datasets, computer code, and links to two supplementary books that provide step-by-step guides for using R or SAS software. Instructors can choose between the SAS or R companions for practical application.