Predictive Inference

Author:   Seymour Geisser ,  D.R. Cox (Nuffield College, Oxford University, UK) ,  N. Reid (University of Toronto, Ontario, Canada) ,  Valerie Isham
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367449919


Pages:   276
Publication Date:   03 December 2019
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Predictive Inference


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Author:   Seymour Geisser ,  D.R. Cox (Nuffield College, Oxford University, UK) ,  N. Reid (University of Toronto, Ontario, Canada) ,  Valerie Isham
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.335kg
ISBN:  

9780367449919


ISBN 10:   0367449919
Pages:   276
Publication Date:   03 December 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Reviews

...this monograph is a very welcome attempt to shift back the main emphasis of statistics from parametric estimation and testing to prediction which, as noted by the author, was originally the earliest and most prealent form of statistical inference...I am sure all statisticians and students of statistics with an open mind will enjoy reading it and, hopefully will appreciate the beauty and usefulness of a coherent predictive view of their subject. -Mathematical Reviews Predictive Inference: An Introduction is rich both in the coverage of topics and in applications...The monograph is addressed to statisticians and research workers who are intrested in the predictive approach. Its major contribution is likely to be as a resource for persons interested in trying predictive inference in some application. -Journal of the ASA


...this monograph is a very welcome attempt to shift back the main emphasis of statistics from parametric estimation and testing to prediction which, as noted by the author, was originally the earliest and most prealent form of statistical inference...I am sure all statisticians and students of statistics with an open mind will enjoy reading it and, hopefully will appreciate the beauty and usefulness of a coherent predictive view of their subject. -Mathematical Reviews Predictive Inference: An Introduction is rich both in the coverage of topics and in applications...The monograph is addressed to statisticians and research workers who are intrested in the predictive approach. Its major contribution is likely to be as a resource for persons interested in trying predictive inference in some application. -Journal of the ASA


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Geisser, Seymour

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