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Adaptive sampling designs inference for sparse and clustered populations George A.F. Seber, Mohammad M. Salehi
Springer Nature - Springer Mathematics and Statistics (R0) eBooks 2013 English International Available online
View online- Format:
- Book
- Author/Creator:
- Seber, G. A. F. (George Arthur Frederick), 1938-
- Series:
- SpringerBriefs in statistics
- SpringerBriefs in Statistics
- Language:
- English
- Subjects (All):
- Adaptive sampling (Statistics).
- Population biology--Statistical methods.
- Population biology.
- Physical Description:
- 1 online resource
- Place of Publication:
- Heidelberg New York Springer [2013]
- Language Note:
- English
- System Details:
- text file PDF
- Summary:
- 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
- Contents:
- Basic Ideas
- Adaptive Cluster Sampling
- Rao-Blackwell Modifications
- Primary and Secondary Units
- Inverse Sampling Methods
- Adaptive Allocation
- Notes:
- Print version record
- Includes bibliographical references
- Other Format:
- Print version:
- ISBN:
- 9783642336577
- 3642336574
- 9783642336560
- 3642336566
- 1283908271
- 9781283908276
- OCLC:
- 823386649
- Access Restriction:
- Restricted for use by site license
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