Sampling and Estimation from Finite Populations

Author:   Yves Tille (Universite de Neuchatel) ,  David Haziza
Publisher:   John Wiley & Sons Inc
ISBN:  

9780470682050


Pages:   448
Publication Date:   27 February 2020
Format:   Hardback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Sampling and Estimation from Finite Populations


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Full Product Details

Author:   Yves Tille (Universite de Neuchatel) ,  David Haziza
Publisher:   John Wiley & Sons Inc
Imprint:   John Wiley & Sons Inc
Dimensions:   Width: 17.50cm , Height: 3.10cm , Length: 24.60cm
Weight:   0.930kg
ISBN:  

9780470682050


ISBN 10:   0470682051
Pages:   448
Publication Date:   27 February 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Reviews

A task for the current, and future, generation is the research and development of methods for integrating data from multiple sources by explicitly addressing the different measurement errors. Those who read this book and address its challenges will be well placed to deal with the research opportunities ahead-both foreseen and yet to be identified. Carl M. O'Brien, Lowestoft Laboratory, International Statistical Review (2020) doi:10.1111/insr.12420


A task for the current, and future, generation is the research and development of methods for integrating data from multiple sources by explicitly addressing the different measurement errors. Those who read this book and address its challenges will be well placed to deal with the research opportunities ahead-both foreseen and yet to be identified. Carl M. O'Brien, Lowestoft Laboratory, International Statistical Review (2020) doi:10.1111/insr.12420


""A task for the current, and future, generation is the research and development of methods for integrating data from multiple sources by explicitly addressing the different measurement errors. Those who read this book and address its challenges will be well placed to deal with the research opportunities ahead—both foreseen and yet to be identified."" —Carl M. O'Brien, Lowestoft Laboratory, International Statistical Review (2020) doi:10.1111/insr.12420


Author Information

YVES TILLÉ, PhD, is a Professor at the University of Neuchâtel (Université de Neuchâtel) in Neuchâtel, Switzerland.

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