Ebook: Adaptive Sampling Designs: Inference for Sparse and Clustered Populations
- Tags: Statistics general, Statistics for Life Sciences Medicine Health Sciences
- Series: SpringerBriefs in Statistics
- Year: 2013
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
This book aims to provide an overview of some adaptive techniques used in estimating parameters for finite populations where the sampling at any stage depends on the sampling information obtained to date. The sample adapts to new information as it comes in. These methods are especially used for sparse and clustered populations.
Written by two acknowledged experts in the field of adaptive sampling.
This book aims to provide an overview of some adaptive techniques used in estimating parameters for finite populations where the sampling at any stage depends on the sampling information obtained to date. The sample adapts to new information as it comes in. These methods are especially used for sparse and clustered populations.
Written by two acknowledged experts in the field of adaptive sampling.
This book aims to provide an overview of some adaptive techniques used in estimating parameters for finite populations where the sampling at any stage depends on the sampling information obtained to date. The sample adapts to new information as it comes in. These methods are especially used for sparse and clustered populations.
Written by two acknowledged experts in the field of adaptive sampling.
Content:
Front Matter....Pages i-ix
Basic Ideas....Pages 1-10
Adaptive Cluster Sampling....Pages 11-26
Rao-Blackwell Modifications....Pages 27-36
Primary and Secondary Units....Pages 37-47
Inverse Sampling Methods....Pages 49-60
Adaptive Allocation....Pages 61-70
This book aims to provide an overview of some adaptive techniques used in estimating parameters for finite populations where the sampling at any stage depends on the sampling information obtained to date. The sample adapts to new information as it comes in. These methods are especially used for sparse and clustered populations.
Written by two acknowledged experts in the field of adaptive sampling.
Content:
Front Matter....Pages i-ix
Basic Ideas....Pages 1-10
Adaptive Cluster Sampling....Pages 11-26
Rao-Blackwell Modifications....Pages 27-36
Primary and Secondary Units....Pages 37-47
Inverse Sampling Methods....Pages 49-60
Adaptive Allocation....Pages 61-70
....