Preface

Survey sampling is one of the fundamental subjects in statistics. Survey statisticians have early dealt with problems such as nonresponse, unrepresentative samples, selection bias, etc. such that the tools they developed for these problems have inspired many methods in missing data, causal inference, and even machine learning.

This book aims provide a concise, easy-to-understand introduction to basic sampling principles and techniques and their corresponding inference methods. Although the book can be quite simple without advanced topics such as nonresponse, small area estimation, and selection bias correction, I hope it will still inspire you to appreciate the development of survey sampling theories and go further to incorporate survey sampling techniques into your research.

Disclaimer: This book uses definitions and roughly follows the structure of Lohr (2021). Some sections of this book also share similar narratives with another book of mine.