Springer Advanced Sampling Methods

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. From the Back Cover 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. About the Author RAOSAHEB LATPATE is Assistant Professor at the Department of Statistics and Center for Advanced Studies, Savitribai Phule Pune University, Pune, India. He completed his Ph.D. from Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India. He has organized three workshops on statistical methods and applications and is a member of a number of professional societies and institutions, including the International Statistical Institute, International Indian Statistical Association, Society for Statistics and Computer Applications, and the Indian Society for Probability and Statistics. His research interests include genetic algorithm, fuzzy set theory, supply chain management, logistics and transportation problem, simulation and modelling, and sample survey. JAYANT KSHIRSAGAR is Principle at Ekta Shikshan Prasarak Mandal's Arts, Commerce and Science College, Ahmednagar, India. Earlier, he was Associate Professor of Statistics in New Arts, Commerce and Science College, Ahmednagar, India. He has been teaching statistics to undergraduate students for over 38 years and 8 years to postgraduate students. He has published over 15 research papers in reputed national and international journals and presented research papers in national and international conferences. His research interests include sampling designs, bio-statistics and mathematical statistics. VINOD KUMAR GUPTA is former ICAR National Professor of Indian Agricultural Statistics Research Institute, New Delhi, India. He received his Ph.D. in Agricultural Statistics from Indian Agricultural Research Institute (IARI), New Delhi, in 1983. His areas of research are design of experiments, theory of survey sampling and applied statistics. He has authored over 140 research papers, 4 books, 30 research project reports, several monographs, teaching manuals, electronic manuals, and popular articles, and more than 10 special volumes of journals as guest editor. Under his supervision, 11 students have completed their Ph.D. degrees. He is associated with the developments of two very imp