Название: Sampling: Design and Analysis, 3rd Edition
Автор: Sharon L. Lohr
Издательство: CRC Press
Серия: Chapman & Hall/CRC Texts in Statistical Science
Год: 2022
Страниц: 675
Язык: английский
Формат: pdf (true), epub
Размер: 15.13 MB

The third edition has been expanded and updated to incorporate recent research on theoretical and applied aspects of survey sampling, and to reflect developments related to the increasing availability of massive data sets (“Big Data”) and samples selected via the internet. The new chapter on nonprobability sampling tells how to analyze and evaluate information from samples that are not selected randomly (including Big Data), and contrasts nonprobability samples with low-response-rate probability samples. The chapters on nonsampling errors have been extensively revised to include recent developments on treating nonresponse and measurement errors. Material in other chapters has been revised where there has been new research or I felt I could clarify the presentation of results. Examples retained from the second edition have been updated when needed, and new examples have been added throughout the book to illustrate recent applications of survey sampling.

"The level is appropriate for an upper-level undergraduate or graduate-level statistics major. Sampling: Design and Analysis (SDA) will also benefit a non-statistics major with a desire to understand the concepts of sampling from a finite population. A student with patience to delve into the rigor of survey statistics will gain even more from the content that SDA offers. The updates to SDA have potential to enrich traditional survey sampling classes at both the undergraduate and graduate levels. The new discussions of low response rates, non-probability surveys, and internet as a data collection mode hold particular value, as these statistical issues have become increasingly important in survey practice in recent years… I would eagerly adopt the new edition of SDA as the required textbook." (Emily Berg, Iowa State University)

What is the unemployment rate? What is the total area of land planted with soybeans? Sampling: Design and Analysis, Third Edition shows you how to design and analyze surveys to answer these and other questions. This authoritative text, used as a standard reference by numerous survey organizations, teaches the principles of sampling with examples from social sciences, public opinion research, public health, business, agriculture, and ecology. Readers should be familiar with concepts from an introductory statistics class including probability and linear regression; optional sections contain statistical theory for readers familiar with mathematical statistics.

The third edition, thoroughly revised to incorporate recent research and applications, includes a new chapter on nonprobability samples―when to use them and how to evaluate their quality. More than 200 new examples and exercises have been added to the already extensive sets in the second edition.

SDA’s companion website contains data sets, computer code, and links to two free downloadable supplementary books (also available in paperback) that provide step-by-step guides―with code, annotated output, and helpful tips―for working through the SDA examples. Instructors can use either R or SAS software.

The book is accessible to students with a wide range of statistical backgrounds, and is flexible for content and level. By appropriate choice of sections, this book can be used for an upper-level undergraduate class in statistics, a first- or second-year graduate class for statistics students, or a class with students from business, sociology, psychology, or biology who want to learn about designing and analyzing data from sample surveys. It is also useful for persons who analyze survey data and want to learn more about the statistical aspects of surveys and recent developments. The book is intended for anyone who is interested in using sampling methods to learn about a population, or who wants to understand how data from surveys are collected, analyzed, and interpreted.






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