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Advanced sampling methods

Latpate, Raosaheb.

Advanced sampling methods

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advanced sampling methodsby Raosaheb Latpate ... [et al.].
other author:	Latpate, Raosaheb.
Published:	Singapore :Springer Singapore :2021.
Description:	xvii, 301 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Sampling (Statistics)
Online resource:	https://doi.org/10.1007/978-981-16-0622-9
ISBN:	9789811606229$q(electronic bk.)

Advanced sampling methods
Advanced sampling methods[electronic resource] /by Raosaheb Latpate ... [et al.]. - Singapore :Springer Singapore :2021. - xvii, 301 p. :ill., digital ;24 cm.

-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.

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.

ISBN: 9789811606229$q(electronic bk.)

Standard No.: 10.1007/978-981-16-0622-9doiSubjects--Topical Terms:

182291
Sampling (Statistics)

LC Class. No.: QA276.6

Dewey Class. No.: 519.52

Advanced sampling methods
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245 0 0 $a Advanced sampling methods $h [electronic resource] / $c by Raosaheb Latpate ... [et al.].
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a xvii, 301 p. : $b ill., digital ; $c 24 cm.
505 0 $a -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.
520 $a 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.
650 0 $a Sampling (Statistics) $3 182291
650 1 4 $a Statistical Theory and Methods. $3 274054
650 2 4 $a Bayesian Inference. $3 825978
650 2 4 $a Statistics and Computing/Statistics Programs. $3 275710
700 1 $a Latpate, Raosaheb. $3 892654
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950 $a Mathematics and Statistics (SpringerNature-11649)