Advanced sampling methods /

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Bibliographic Details
Author / Creator:Latpate, Raosaheb, author.
Imprint:Singapore : Springer, 2021.
Description:1 online resource
Language:English
Subject:Sampling (Statistics)
Sampling (Statistics)
Electronic books.
Electronic books.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12612831
Hidden Bibliographic Details
Other authors / contributors:Kshirsagar, Jayant, author.
Kumar Gupta, Vinod, author.
Chandra, Girish, author.
ISBN:9789811606229
9811606226
9811606218
9789811606212
Notes:Includes bibliographical references.
Online resource; title from PDF title page (SpringerLink, viewed May 14, 2021).
Summary:This book discusses all major topics on survey sampling and estimation. It covers traditional as well as advanced sampling methods related to the spatial populations. The book presents real-world applications of major sampling methods and illustrates them with the R software. As a large sample size is not cost-efficient, this book introduces a new method by using the domain knowledge of the negative correlation between the variable of interest and the auxiliary variable in order to control the size of a sample. In addition, the book focuses on adaptive cluster sampling, rank-set sampling and their applications in real life. Advance methods discussed in the book have tremendous applications in ecology, environmental science, health science, forestry, bio-sciences, and humanities. This book is targeted as a text for undergraduate and graduate students of statistics, as well as researchers in various disciplines.
Other form:Original 9811606218 9789811606212
Standard no.:10.1007/978-981-16-0622-9