Advanced Sampling Methods

Latpate, Raosaheb; Kshirsagar, Jayant; Kumar Gupta, Vinod; Chandra, Girish

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.

Details

Published by: Springer

Publication Date: 2022-05-09

Format: Paperback

ISBN-13: 9789811606243

DOI: 10.1007/978-981-16-0622-9

Dimensions: 235cm x155cm

Pages: 301