An edition of Nonparametric Predictive Inference (2008)

Nonparametric Predictive Inference

First edition
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Nonparametric Predictive Inference
Frank P. A. Coolen
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Last edited by Kaustubh Chakraborty
September 28, 2023 | History
An edition of Nonparametric Predictive Inference (2008)

Nonparametric Predictive Inference

First edition
  • 1 Want to read

After the initial introductory chapter, the book provides a series of chapters outlining the use of NPI in specific settings, e.g. for real-valued random quantities or for multinomial data. This will be followed by chapters detailing further applications in statistics, providing examples such as NPI for statistical quality and process control, reliability and operations research, with a variety of examples such as maintenance and replacement problems, queuing situations and risk reliability inferences.

Publish Date
Publisher
Wiley
Language
English
Pages
260

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Edition Availability
Cover of: Nonparametric Predictive Inference
Nonparametric Predictive Inference
March 14, 2008, Wiley
Hardcover in English - First edition

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Book Details


Edition Notes

Contains bibliography and index.

Published in
New York, USA
Series
Wiley Series in Probability and Statistics
Copyright Date
©2018

The Physical Object

Format
Hardcover
Number of pages
260
Weight
1 pounds

ID Numbers

Open Library
OL49644656M
ISBN 10
0470723343
ISBN 13
9780470723340
Google
SNd7RAAACAAJ

Work Description

This book will be the first on NPI and will provide an introduction to and overview of, the approach's current state of the art. It will be a self-contained treatment of the subject, introducing it to readers, and leading them on to a more advanced and specialist understanding. The Author compares and contrasts NPI theory with classical statistical theory, pointing out the ways in which NPI can enhance current research in areas ranging from operations research to engineering and artificial intelligence.

The foundations and ideas behind NPI will be presented along with an examination and comparison of more traditional approaches of classical and Bayesian statistics, providing further insights into the advantages of NPI. Future directions and the accommodation of multivariate data will also be discussed.

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History

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September 28, 2023 Edited by Kaustubh Chakraborty Added new book
September 28, 2023 Created by Kaustubh Chakraborty Added new book.