Sampling Theory and Practice
The three parts of this book on survey methodology combine an introduction to basic sampling theory, engaging presentation of topics that reflect current research trends, and informed discussion of the problems commonly encountered in survey practice
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Changbao Wu Mary E. Thompson
Sampling Theory and Practice
ICSA Book Series in Statistics Series editors Jiahua Chen, Department of Statistics, University of British Columbia, Vancouver, Canada (Din) Ding-Geng Chen, University of North Carolina, Chapel Hill, NC, USA
The ICSA Book Series in Statistics showcases research from the International Chinese Statistical Association that has an international reach. It publishes books in statistical theory, applications, and statistical education. All books are associated with the ICSA or are authored by invited contributors. Books may be monographs, edited volumes, textbooks and proceedings.
More information about this series at http://www.springer.com/series/13402
Changbao Wu • Mary E. Thompson
Sampling Theory and Practice
Changbao Wu Department of Statistics and Actuarial Science University of Waterloo Waterloo, ON, Canada
Mary E. Thompson Department of Statistics and Actuarial Science University of Waterloo Waterloo, ON, Canada
ISSN 2199-0980 ISSN 2199-0999 (electronic) ICSA Book Series in Statistics ISBN 978-3-030-44244-6 ISBN 978-3-030-44246-0 (eBook) https://doi.org/10.1007/978-3-030-44246-0 © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG. The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
To Miranda, Domeny, and Jianchuan Changbao Wu To Elise, Amy, Abigail, and Adam Mary E. Thompson
Foreword
Probability sampling designs and repeated sampling inference, also called designbased approach, have played a dominant role, especially in the production of official statistics, ever since the publication of the landmark paper by Neyman (1934). Neyman’s paper laid theoretical foundations of the design-based approach which was almost universally accepted b
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