Advanced Sampling Methods - Vinod Kumar Gupta,Jayant Kshirsagar,Girish Chandra,Raosaheb Latpate
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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 correla ... Pilns apraksts
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Aprašymas
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.
Vairāk informācijas
| Autors | Vinod Kumar Gupta, Jayant Kshirsagar, Girish Chandra, Raosaheb Latpate |
|---|---|
| Izdevējs | Springer Nature Singapore |
| Izlaides gads | 2022 |
| Vāka tips | Mīkstais vāks |
| EAN | 9789811606243 |