Linear Regression

Author:   David J. Olive
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2017
ISBN:  

9783319552507


Pages:   494
Publication Date:   25 April 2017
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Linear Regression


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Full Product Details

Author:   David J. Olive
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2017
Dimensions:   Width: 15.50cm , Height: 3.20cm , Length: 23.50cm
Weight:   8.808kg
ISBN:  

9783319552507


ISBN 10:   3319552503
Pages:   494
Publication Date:   25 April 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
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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Reviews

“Very nice features of the book are the many practical hints and discussion on how to do model building, the various rules of thumb, the summaries and exercises. … I think that the book will turn out helpful in particular for people interested in modeling aspects of linear regression with some mathematical background.” (Alexander Lindner, zbMath 1417.62002, 2019)


Very nice features of the book are the many practical hints and discussion on how to do model building, the various rules of thumb, the summaries and exercises. ... I think that the book will turn out helpful in particular for people interested in modeling aspects of linear regression with some mathematical background. (Alexander Lindner, zbMath 1417.62002, 2019)


Author Information

David Olive is a Professor at Southern Illinois University, Carbondale, IL, USA.  His research interests include the development of computationally practical robust multivariate location and dispersion estimators, robust multiple linear regression estimators, and resistant dimension reduction estimators.

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