Abstract
Rising response rates, increasing prevalence of nonprobability samples, and new technologies have generated important challenges for survey sampling in recent years. Simultaneously, governmental and private organizations continue to rely on probability samples to understand the characteristics of target populations. Therefore, a reliable textbook on survey statistics that also addresses contemporary issues is of critical importance for statistics students and practitioners. The third edition of Sampling: Design and Analysis fulfills this need. The text offers tools to confront modern statistical challenges, while providing a solid foundation in the pillars of survey statistics. The text is reliable, builds intuition, and contains a rich set of examples. These qualities make this book appropriate for a wide range of students and practitioners.