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Parametric Statistical Change Point Analysis (Record no. 22648)

000 -LEADER
fixed length control field 04450nam a22005055i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310151441.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 111104s2012 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780817648015
978-0-8176-4801-5
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA276-280
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5
Edition number 23
264 #1 -
-- Boston :
-- Birkhäuser Boston,
-- 2012.
912 ## -
-- ZDB-2-SMA
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Chen, Jie.
Relator term author.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Parametric Statistical Change Point Analysis
Medium [electronic resource] :
Remainder of title With Applications to Genetics, Medicine, and Finance /
Statement of responsibility, etc by Jie Chen, Arjun K. Gupta.
250 ## - EDITION STATEMENT
Edition statement Second Edition.
300 ## - PHYSICAL DESCRIPTION
Extent XIII, 273p. 24 illus., 23 illus. in color.
Other physical details online resource.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Preface -- Preliminaries -- Introduction -- Univariate Normal Model -- Multivariate Normal Model -- Regression Model -- Gamma Model -- Exponential Model -- Change Point Model for the Hazard Function -- Discrete Models -- Other Models -- Bibliography -- Author Index -- Subject Index.
520 ## - SUMMARY, ETC.
Summary, etc Overall, the book gives a clear and systematic presentation of models and methods. It will be an excellent source for theoretical and applied statisticians who are interested in research on change-point analysis and its applications to many areas.   —Mathematical Reviews (Review of the First Edition) Revised and expanded, Parametric Statistical Change Point Analysis, Second Edition is an in-depth study of the change point problem from a general point of view, and a deeper look at change point analysis of the most commonly used statistical models. For some time, change point problems have appeared throughout the sciences in such disciplines as economics, medicine, psychology, signal processing, and geology; more recently, they have also been found extensively in applications related to biomedical imaging data, array Comparative Genomic Hybridization (aCGH) data, and gene expression data. These areas of interest—new and old—have motivated substantial research on change point problems and led to a significant body of literature in the field. The present monograph stands as a valuable contribution to this literature. Key features and topics:  * Clear and systematic exposition with a great deal of introductory material included;  * Different models in each chapter, including gamma and exponential models, rarely examined thus far in the literature;  * Extensive examples to emphasize key concepts and different methodologies used, namely the likelihood ratio criterion as well as the Bayesian and information criterion approaches;  * An up-to-date comprehensive bibliography and two indices. New to the Second Edition:  * New examples of change point analysis in modern molecular biology and other fields such as finance and air traffic control;  * Two new sections of applications of the underlying change point models in analyzing the array Comparative Genomic Hybridization (aCGH) data for DNA copy number changes;  * A new chapter on change points in the hazard function;  * A new chapter on other practical change point models, such as the epidemic change point model and a smooth-and-abrupt change point model. This monograph will be a highly useful resource for an impressively broad range of researchers in statistics, as well as a useful supplement for graduate courses in the field.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics.
Topical term or geographic name as entry element Mathematics.
Topical term or geographic name as entry element Distribution (Probability theory).
Topical term or geographic name as entry element Mathematical statistics.
Topical term or geographic name as entry element Economics
General subdivision Statistics.
Topical term or geographic name as entry element Statistics.
Topical term or geographic name as entry element Statistical Theory and Methods.
Topical term or geographic name as entry element Statistics for Life Sciences, Medicine, Health Sciences.
Topical term or geographic name as entry element Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Topical term or geographic name as entry element Statistics for Business/Economics/Mathematical Finance/Insurance.
Topical term or geographic name as entry element Probability Theory and Stochastic Processes.
Topical term or geographic name as entry element Applications of Mathematics.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Gupta, Arjun K.
Relator term author.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9780817648008
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-0-8176-4801-5
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-09AUM Main Library2014-04-09 2014-04-09 E-Book   AUM Main Library519.5
Languages: 
English |
العربية