Sampling Design and Analysis 2nd edition by Sharon Lohr 0367273411 9780367273415

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ISBN 10: 0367273411

ISBN 13: 9780367273415

Author:  Sharon L. Lohr

“Lohr provides a vast amount of verbal explanation to guide the nonmathematical reader, yet she provides derivations of many results and a 24-page list of references. Citations are well integrated into the reading…The new edition has added a number of topics that are timely relative to current work in survey methodology. These include such topics as Internet surveys and resampling techniques…One of the distinguishing characteristics of this book is the integration of model-based sampling as well as the traditional methods dating from the 1940s. The exposition is very well written and should be accessible to a wide audience. (this is an excellent text. The exposition is extraordinarily fine and the coverage broad and up-to-date.” ~Journal of Biopharmaceutical Statistics

“This is a textbook for a graduate course in survey sampling as well as for those in applied fields…Lohr, in each chapter, introduces the basic concept to be covered, gives il and presents many exercises for students to work out. Her examples are not toy ones, most come from actual (often complex) surveys, and the exercises both advance the learning of new concepts and enable the methodology just learned…This new and expanded second edition provides a wonderful introduction to sample survey methodology. In a clear fashion Lohr introduces basic concepts, while simultaneously covering a wide variety of topics.” ~Journal of the American Statistical Association

Sampling Design and Analysis 2nd Table of contents:

1. Introduction
2. Simple Probability Samples
3. Stratified Sampling
4. Ratio and Regression Estimation
5. Cluster Sampling with Equal Probabilities
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. Two-Phase Sampling
13. Estimating Population Size
14. Rare Populations and Small Area Estimations
15. Survey Quality

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