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Nonparametric Methods in Change Point Problems (Mathematics and Its Applications)

Nonparametric Methods in Change Point Problems (Mathematics and Its Applications)

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Authors: B.e. Brodsky, B.s. Darkhovsky
Publisher: Springer
Category: Book

List Price: $141.00
Buy New: $138.21
You Save: $2.79 (2%)



New (17) Used (5) from $138.21

Sales Rank: 3254815

Media: Hardcover
Edition: 1
Pages: 224
Number Of Items: 1
Shipping Weight (lbs): 1.1
Dimensions (in): 9.7 x 6.6 x 0.7

ISBN: 0792321227
Dewey Decimal Number: 519.54
EAN: 9780792321224

Publication Date: January 31, 1993
Availability: Usually ships in 1-2 business days
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Condition: New American book. Printed on demand and shipped within the US in 4-7 days (expedited) or about 10-14 days (standard). Standard can occasionally be slower so we advise using expedited if quicker delivery is important!

Editorial Reviews:

Product Description
This volume deals with nonparametric methods of change point (disorder) detection in random processes and fields. A systematic account is given of up-to-date developments in this rapidly evolving branch of statistics. It also provides a new approach to change point detection which is characterized by the reduction of change point problems to the more basic problem of mean value change points, and also the implementation of nonparametric statistics which require no a priori information concerning distributions.
The book has seven chapters: Chapter 1 presents an account of preliminary considerations. Chapter 2 reviews the current state-of-the-art. Chapters 3 and 4 -- the major chapters of the book -- consider a posteriori change point problems and sequential change point detection problems, respectively. Chapter 5 discusses disorder detection of random fields, and Chapter 6 deals with applications in such diverse areas as geophysics, control systems and the analysis of historical texts. The volume concludes with a chapter devoted to new results, proofs and some technical details including an overview of a computer program package which has been developed for a posteriori change point detection.
For researchers in the statistics and probability of random processes, this volume will also be of interest to specialists in control theory, engineering, systems analysis and cybernetics.


 
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