Advanced Sampling Methods
Author | : Raosaheb Latpate |
Publisher | : Springer Nature |
Total Pages | : 307 |
Release | : 2021-05-07 |
ISBN-10 | : 9789811606229 |
ISBN-13 | : 9811606226 |
Rating | : 4/5 (226 Downloads) |
Download or read book Advanced Sampling Methods written by Raosaheb Latpate and published by Springer Nature. This book was released on 2021-05-07 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.