Predictive Statistics

Analysis and Inference beyond Models

Nonfiction, Science & Nature, Mathematics, Statistics, Computers, General Computing
Cover of the book Predictive Statistics by Bertrand S. Clarke, Jennifer L. Clarke, Cambridge University Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Bertrand S. Clarke, Jennifer L. Clarke ISBN: 9781108594202
Publisher: Cambridge University Press Publication: April 30, 2018
Imprint: Cambridge University Press Language: English
Author: Bertrand S. Clarke, Jennifer L. Clarke
ISBN: 9781108594202
Publisher: Cambridge University Press
Publication: April 30, 2018
Imprint: Cambridge University Press
Language: English

All scientific disciplines prize predictive success. Conventional statistical analyses, however, treat prediction as secondary, instead focusing on modeling and hence estimation, testing, and detailed physical interpretation, tackling these tasks before the predictive adequacy of a model is established. This book outlines a fully predictive approach to statistical problems based on studying predictors; the approach does not require predictors correspond to a model although this important special case is included in the general approach. Throughout, the point is to examine predictive performance before considering conventional inference. These ideas are traced through five traditional subfields of statistics, helping readers to refocus and adopt a directly predictive outlook. The book also considers prediction via contemporary 'black box' techniques and emerging data types and methodologies where conventional modeling is so difficult that good prediction is the main criterion available for evaluating the performance of a statistical method. Well-documented open-source R code in a Github repository allows readers to replicate examples and apply techniques to other investigations.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

All scientific disciplines prize predictive success. Conventional statistical analyses, however, treat prediction as secondary, instead focusing on modeling and hence estimation, testing, and detailed physical interpretation, tackling these tasks before the predictive adequacy of a model is established. This book outlines a fully predictive approach to statistical problems based on studying predictors; the approach does not require predictors correspond to a model although this important special case is included in the general approach. Throughout, the point is to examine predictive performance before considering conventional inference. These ideas are traced through five traditional subfields of statistics, helping readers to refocus and adopt a directly predictive outlook. The book also considers prediction via contemporary 'black box' techniques and emerging data types and methodologies where conventional modeling is so difficult that good prediction is the main criterion available for evaluating the performance of a statistical method. Well-documented open-source R code in a Github repository allows readers to replicate examples and apply techniques to other investigations.

More books from Cambridge University Press

Cover of the book The Art of Astrophotography by Bertrand S. Clarke, Jennifer L. Clarke
Cover of the book The Cambridge Companion to ‘Dracula' by Bertrand S. Clarke, Jennifer L. Clarke
Cover of the book Sport and the Military by Bertrand S. Clarke, Jennifer L. Clarke
Cover of the book Hadrons at Finite Temperature by Bertrand S. Clarke, Jennifer L. Clarke
Cover of the book A History of California Literature by Bertrand S. Clarke, Jennifer L. Clarke
Cover of the book International Migration in the Age of Crisis and Globalization by Bertrand S. Clarke, Jennifer L. Clarke
Cover of the book Moral Leadership in Medicine by Bertrand S. Clarke, Jennifer L. Clarke
Cover of the book Introspection and Engagement in Propertius by Bertrand S. Clarke, Jennifer L. Clarke
Cover of the book Legal Normativity in the Resolution of Internal Armed Conflict by Bertrand S. Clarke, Jennifer L. Clarke
Cover of the book Sentimental Opera by Bertrand S. Clarke, Jennifer L. Clarke
Cover of the book The Poetry of Victorian Scientists by Bertrand S. Clarke, Jennifer L. Clarke
Cover of the book Evolution in Investment Treaty Law and Arbitration by Bertrand S. Clarke, Jennifer L. Clarke
Cover of the book Comparative Law by Bertrand S. Clarke, Jennifer L. Clarke
Cover of the book Foundations of Comparative Politics by Bertrand S. Clarke, Jennifer L. Clarke
Cover of the book Trust in Early Modern International Political Thought, 1598–1713 by Bertrand S. Clarke, Jennifer L. Clarke
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy