Overview

Examines classic algorithms, geometric diagrams, and mechanical principles for enhances visualization of statistical estimation procedures and mathematical concepts in physics, engineering, and computer programming.

Full Product Details

Author:   R.W. Farebrother (University of Manchester) ,  Michael Schyns (University of Liege, Belgium) ,  Michael Schyns (University of Liege, Belgium)
Publisher:   Taylor & Francis Inc
Imprint:   CRC Press Inc
Volume:   v. 166
Dimensions:   Width: 15.60cm , Height: 1.80cm , Length: 23.40cm
Weight:   0.498kg
ISBN:  

9780824707187

ISBN 10:   0824707184
Pages:   272
Publication Date:   14 June 2002
Audience:   College/higher education ,  Professional and scholarly ,  General/trade ,  Tertiary & Higher Education ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Reviews

The text contains many excellent geometrical approaches to deriving solutions to the optimization problems considered. The reader of this book will benefit from the visualization of statistical models that is a consequence of framing statistical optimization problems in terms of physical systems. [T]he author provides an excellent account of the complete development of each problem, replete with historical and contemporary references. Overall, this is an excellent treatment at a very basic level of subject mater that is potentially of great benefit to students and practitioners of statistical methods. - Journal of the American Statistical Association, March 2004

"""The text contains many excellent geometrical approaches to deriving solutions to the optimization problems considered. The reader of this book will benefit from the visualization of statistical models that is a consequence of framing statistical optimization problems in terms of physical systems. [T]he author provides an excellent account of the complete development of each problem, replete with historical and contemporary references. Overall, this is an excellent treatment at a very basic level of subject mater that is potentially of great benefit to students and practitioners of statistical methods."" - Journal of the American Statistical Association, March 2004"

Author Information

Farebrother\, R.W.; Schyns\, Michael

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