Non-linear time series (Record no. 14662)

MARC details
000 -LEADER
fixed length control field 02044nam a2200289Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250711163647.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220909b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783319070278
037 ## - SOURCE OF ACQUISITION
Terms of availability Textbook
040 ## - CATALOGING SOURCE
Original cataloging agency CSL
Language of cataloging eng
Transcribing agency CSL
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
084 ## - COLON CLASSIFICATION NUMBER
Classification number B286 Q4 TOR
Assigning agency CSL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Turkman, Kamil Ferideun
Relator term author.
9 (RLIN) 815422
245 #0 - TITLE STATEMENT
Title Non-linear time series
Remainder of title : Extreme events and integer value problems
Statement of responsibility, etc. / by Kamil Feridun Turkman, Manuel González Scotto and Patrícia de Zea Bermudez
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New York :
Name of publisher, distributor, etc. Springer,
Date of publication, distribution, etc. 2014.
300 ## - PHYSICAL DESCRIPTION
Extent xii, 245p.
Other physical details ; ill.
500 ## - GENERAL NOTE
General note Reference 245p.
520 ## - SUMMARY, ETC.
Summary, etc. This book offers a useful combination of probabilistic and statistical tools for analyzing nonlinear time series. Key features of the book include a study of the extremal behavior of nonlinear time series and a comprehensive list of nonlinear models that address different aspects of nonlinearity. Several inferential methods, including quasi likelihood methods, sequential Markov Chain Monte Carlo Methods and particle filters, are also included so as to provide an overall view of the available tools for parameter estimation for nonlinear models. A chapter on integer time series models based on several thinning operations, which brings together all recent advances made in this area, is also included.<br/>Readers should have attended a prior course on linear time series, and a good grasp of simulation-based inferential methods is recommended. This book offers a valuable resource for second-year graduate students and researchers in statistics and other scientific areas who need a basicunderstanding of nonlinear time series.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Integer valued
9 (RLIN) 815423
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Probabilistic
9 (RLIN) 815424
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Inference
9 (RLIN) 733383
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Scotto, Manuel Gonzalez
Relator term co-author.
9 (RLIN) 815425
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Bermudez, Patricia De Zea
Relator term co-author.
9 (RLIN) 815426
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Classification part B286 Q4 TOR
Koha item type Textbook
Source of classification or shelving scheme Colon Classification (CC)
Suppress in OPAC No
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
        Central Science Library Central Science Library 2022-09-12 314, 10/03/2015, Vardhman Books   B286 Q4 TOR SL1598012 2022-09-12 2022-09-12 Textbook