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.