Sampling Designs Dependent on Sample Parameters of Auxiliary Variables
The book offers a valuable resource for students and statisticians whose work involves survey sampling. An estimation of the population parameters in finite and fixed populations assisted by auxiliary variables is considered. New sampling designs dependen
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Janusz L. Wywiał
Sampling Designs Dependent on Sample Parameters of Auxiliary Variables
123
SpringerBriefs in Statistics
More information about this series at http://www.springer.com/series/8921
Janusz L. Wywiał
Sampling Designs Dependent on Sample Parameters of Auxiliary Variables
123
Janusz L. Wywiał Department of Statistics Katowice University of Economics Katowice Poland
ISSN 2191-544X SpringerBriefs in Statistics ISBN 978-3-662-47382-5 DOI 10.1007/978-3-662-47383-2
ISSN 2191-5458
(electronic)
ISBN 978-3-662-47383-2
(eBook)
Library of Congress Control Number: 2015942470 Springer Heidelberg New York Dordrecht London © The Author(s) 2015 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, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper Springer-Verlag GmbH Berlin Heidelberg is part of Springer Science+Business Media (www.springer.com)
For Eva and Peter
Preface
We can observe gradual increase in the range of survey sampling methods and their applications in the fields of economics, geology, and agriculture, among others. These applications have been followed by new theoretical solutions that provide better sampling designs or estimators. Recently, several highly important properties of sampling designs have been discovered, and many new methods have been published. This small monograph is the result of the author’s interest in survey designs. In general, the book represents a synthesis of contributions on sampling designs that are dependent on sample moments or the order statistics of auxiliary variables. The book should be useful for students and statisticians whose work involves survey sampling. The book can offer new inspirations for those looking for new sampling designs dependent on auxiliary variables. In some sense, this book has been prepared because of Professor Miodrag Lovric who invited me to write some brief notes in the International Encyclopedia of Statistical Science edited by him. This led to the proposal to write this book. The Author is grateful to Reviewers for
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