Simultaneous Statistical Inference: With Applications in the Life Sciences

Author:   Thorsten Dickhaus
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   Softcover reprint of the original 1st ed. 2014
ISBN:  

9783662510063


Pages:   180
Publication Date:   27 August 2016
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Simultaneous Statistical Inference: With Applications in the Life Sciences


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Author:   Thorsten Dickhaus
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   Softcover reprint of the original 1st ed. 2014
Dimensions:   Width: 15.50cm , Height: 1.10cm , Length: 23.50cm
Weight:   3.051kg
ISBN:  

9783662510063


ISBN 10:   3662510065
Pages:   180
Publication Date:   27 August 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Thorsten Dickhaus' Simultaneous Statistical Inference is without a doubt the most thorough yet concise roundup of multiple-test procedures that has come out in many years. ... It is all the more worthwhile reading for statistical researchers, who will be guided through the maze of multiple-testing approaches that have accumulated over the past decades. ... a rich source of inspiration for anyone who has some mathematical background and seeks a deep understanding of state-of-the-art simultaneous inference. (Philip Pallmann, Biometrical Journal, Vol. 57 (6), 2015)


Thorsten Dickhaus' Simultaneous Statistical Inference is without a doubt the most thorough yet concise roundup of multiple-test procedures that has come out in many years. ... It is all the more worthwhile reading for statistical researchers, who will be guided through the maze of multiple-testing approaches that have accumulated over the past decades. ... a rich source of inspiration for anyone who has some mathematical background and seeks a deep understanding of state-of-the-art simultaneous inference. (Philip Pallmann, Biometrical Journal, Vol. 57 (6), 2015)


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