Advanced sampling methods / Raosaheb Latpate, Jayant Kshirsagar, Vinod Kumar Gupta, Girish Chandra.
Latpate, Raosaheb, author.; Kshirsagar, Jayant, author.; Kumar Gupta, Vinod, author.; Chandra, Girish, author.
2021
QA276.6
Available Online

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Title Advanced sampling methods / Raosaheb Latpate, Jayant Kshirsagar, Vinod Kumar Gupta, Girish Chandra.
Author Latpate, Raosaheb, author.
ISBN 9789811606229 (electronic bk.)
9811606226 (electronic bk.)
9811606218
9789811606212
DOI https://doi.org/10.1007/978-981-16-0622-9
Publication Details Singapore : Springer, 2021.
Language English
Description 1 online resource
Item Number 10.1007/978-981-16-0622-9 doi
Call Number QA276.6
Dewey Decimal Classification 519.5/2
Summary 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.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed May 14, 2021).
Added Author Kshirsagar, Jayant, author.
Kumar Gupta, Vinod, author.
Chandra, Girish, author.
Available in Other Form Print version: 9789811606212
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1. Introduction
2. Simple Random Sampling
3. Stratied Random Sampling
4. Cluster Sampling
5. Double Sampling
6. Probability Proportional to Size Sampling
7. Systematic Sampling
8. Resampling Techniques
9. Adaptive Cluster Sampling
10. Two-Stage Adaptive Cluster Sampling
11. Adaptive Cluster Double Sampling
12. Inverse Adaptive Cluster Sampling
13. Two Stage Inverse Adaptive Cluster Sampling
14. Stratified Inverse Adaptive Cluster Sampling
15. Negative Adaptive Cluster Sampling
16. Negative Adaptive Cluster Double Sampling
17. Two- Stage Negative Adaptive Cluster Sampling
18. Balanced and Unbalanced Ranked Set Sampling
19. Ranked Set Sampling in Other Parameter Estimation and Non-Parametric Inference
20. Important Versions of Ranked Set Sampling
21. Sampling Errors.

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