Statistical Methods and Applications in Forestry and Environmental Sciences
This book presents recent developments in statistical methodologies with particular relevance to applications in forestry and environmental sciences. It discusses important methodologies like ranked set sampling, adaptive cluster sampling, small area esti
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Girish Chandra Raman Nautiyal Hukum Chandra Editors
Statistical Methods and Applications in Forestry and Environmental Sciences
Forum for Interdisciplinary Mathematics Editor-in-Chief P. V. Subrahmanyam, Department of Mathematics, Indian Institute of Technology Madras, Chennai, Tamil Nadu, India Editorial Board Yogendra Prasad Chaubey, Department of Mathematics and Statistics, Concordia University, Montreal, QC, Canada Jorge Cuellar, Principal Researcher, Siemens AG, München, Bayern, Germany Janusz Matkowski, Faculty of Mathematics, Computer Science and Econometrics, University of Zielona Góra, Zielona Góra, Poland Thiruvenkatachari Parthasarathy, Chennai Mathematical Institute, Kelambakkam, Tamil Nadu, India Mathieu Dutour Sikirić, Institute Rudjer Boúsković, Zagreb, Croatia Bhu Dev Sharma, Forum for Interdisciplinary Mathematics, Meerut, Uttar Pradesh, India
Forum for Interdisciplinary Mathematics is a Scopus-indexed book series. It publishes high-quality textbooks, monographs, contributed volumes and lecture notes in mathematics and interdisciplinary areas where mathematics plays a fundamental role, such as statistics, operations research, computer science, financial mathematics, industrial mathematics, and bio-mathematics. It reflects the increasing demand of researchers working at the interface between mathematics and other scientific disciplines.
More information about this series at http://www.springer.com/series/13386
Girish Chandra Raman Nautiyal Hukum Chandra •
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Editors
Statistical Methods and Applications in Forestry and Environmental Sciences
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Editors Girish Chandra Indian Council of Forestry Research and Education Dehradun, Uttarakhand, India
Raman Nautiyal Indian Council of Forestry Research and Education Dehradun, Uttarakhand, India
Hukum Chandra Indian Agricultural Statistics Research Institute New Delhi, Delhi, India
ISSN 2364-6748 ISSN 2364-6756 (electronic) Forum for Interdisciplinary Mathematics ISBN 978-981-15-1475-3 ISBN 978-981-15-1476-0 (eBook) https://doi.org/10.1007/978-981-15-1476-0 © Springer Nature Singapore Pte Ltd. 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 edi
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