Yan Lu, Sharon L. Lohr

R Companion for Sampling (eBook, PDF)

Design and Analysis, Third Edition

• Format: PDF

Produktbeschreibung

This manual contains information for using R software with the examples in the textbook Sampling: Design and Analysis, 3rd edition by Sharon L. Lohr.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 222
• Erscheinungstermin: 24. November 2021
• Englisch
• ISBN-13: 9781000482058
• Artikelnr.: 62751842

Autorenporträt

Yan Lu is Associate Professor of Statistics at the University of New Mexico. Her research interests include survey sampling, mixed models, nonparametric regression, and data mining. Recent publications develop new statistical methods for combining data from multiple surveys, selecting probability samples from massive data streams, and applying nonparametric regression to survey data.

Sharon L. Lohr, the author of Measuring Crime: Behind the Statistics, has published widely about survey sampling and statistical methods for education, public policy, law, and crime. She is a Fellow of the American Statistical Association and an elected member of the International Statistical Institute, and has received the Gertrude M. Cox, Morris Hansen, and Deming Awards. Formerly Dean's Distinguished Professor of Statistics at Arizona State University and a Vice President at Westat, she is now a statistical consultant and writer.

Inhaltsangabe

1. Getting Started. 2. Simple Probability Samples. 3. Stratified
Sampling. 4. Ratio and Regression Estimation. 5. Ratio and Regression
Estimation. 6. Sampling with Unequal Probabilities. 7. Complex
Surveys. 8. Nonresponse. 9. Variance Estimation in Complex Surveys.
10. Categorical Data Analysis in Complex Surveys. 11. Regression with
Complex Survey Data. 12. Additional Topics for Survey Data Analysis.

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1. Getting Started. 2. Simple Probability Samples. 3. Stratified Sampling. 4. Ratio and Regression Estimation. 5. Ratio and Regression Estimation. 6. Sampling with Unequal Probabilities. 7. Complex Surveys. 8. Nonresponse. 9. Variance Estimation in Complex Surveys. 10. Categorical Data Analysis in Complex Surveys. 11. Regression with Complex Survey Data. 12. Additional Topics for Survey Data Analysis.