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Characterizing Interdependencies of Multiple Time Series (Record no. 427346)

MARC details
000 -LEADER
fixed length control field 04947nam a22005655i 4500
020 ## - INTERNATIONAL STANDARD BOOKNUMBER
International Standard Book Number 9789811064364
-- 978-981-10-6436-4
024 7# -
-- 10.1007/978-981-10-6436-4
-- doi
040 ## -
-- ISI Library, Kolkata
050 #4 -
-- QA276-280
072 #7 -
-- PBT
-- bicssc
072 #7 -
-- MAT029000
-- bisacsh
072 #7 -
-- PBT
-- thema
082 04 - DEWEYDECIMAL CLASSIFICATION NUMBER
Classification number 519.5
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Hosoya, Yuzo.
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
245 10 - TITLE STATEMENT
Title Characterizing Interdependencies of Multiple Time Series
Medium [electronic resource] :
Remainder of title Theory and Applications /
Statement of responsibility, etc by Yuzo Hosoya, Kosuke Oya, Taro Takimoto, Ryo Kinoshita.
942 ## - ADDED ENTRY ELEMENTS(KOHA)
Koha item type E-BOOKS
100 1# - MAIN ENTRY--PERSONAL NAME
-- author.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS
Place of production, publication, distribution, manufacture Singapore :
Name of producer, publisher, distributor, manufacturer Springer Singapore :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture 2017.
300 ## -
-- X, 133 p. 32 illus.
-- online resource.
336 ## - CONTENT TYPE
Content Type Term text
Content Type Code txt
Source rdacontent
337 ## - MEDIA TYPE
Media Type Term computer
Media Type Code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier Type Term online resource
Carrier Type Code cr
Source rdacarrier
347 ## -
-- text file
-- PDF
-- rda
490 1# -
-- JSS Research Series in Statistics,
-- 2364-0057
505 0# -
-- 1: Introduction to statistical causal analysis -- 2: Measures of one-way effect, reciprocity and association -- 3: Partial measures of interdependence -- 4: Inference based on the vector autoregressive and moving average model -- 5: Inference on change in causality measures -- 6: Simulation performance of estimation methods -- 7: Empirical analysis of macroeconomic series -- 8: Empirical analysis of change in causality measures -- 9: Conclusion -- Appendix -- References -- Index.
520 ## -
-- This book introduces academic researchers and professionals to the basic concepts and methods for characterizing interdependencies of multiple time series in the frequency domain. Detecting causal directions between a pair of time series and the extent of their effects, as well as testing the non existence of a feedback relation between them, have constituted major focal points in multiple time series analysis since Granger introduced the celebrated definition of causality in view of prediction improvement. Causality analysis has since been widely applied in many disciplines. Although most analyses are conducted from the perspective of the time domain, a frequency domain method introduced in this book sheds new light on another aspect that disentangles the interdependencies between multiple time series in terms of long-term or short-term effects, quantitatively characterizing them. The frequency domain method includes the Granger noncausality test as a special case. Chapters 2 and 3 of the book introduce an improved version of the basic concepts for measuring the one-way effect, reciprocity, and association of multiple time series, which were originally proposed by Hosoya. Then the statistical inferences of these measures are presented, with a focus on the stationary multivariate autoregressive moving-average processes, which include the estimation and test of causality change. Empirical analyses are provided to illustrate what alternative aspects are detected and how the methods introduced here can be conveniently applied. Most of the materials in Chapters 4 and 5 are based on the authors' latest research work. Subsidiary items are collected in the Appendix.
650 #0 -
-- Mathematical statistics.
650 #0 -
-- Statistics.
650 14 -
-- Statistical Theory and Methods.
-- http://scigraph.springernature.com/things/product-market-codes/S11001
650 24 -
-- Statistics for Life Sciences, Medicine, Health Sciences.
-- http://scigraph.springernature.com/things/product-market-codes/S17030
650 24 -
-- Statistics for Business/Economics/Mathematical Finance/Insurance.
-- http://scigraph.springernature.com/things/product-market-codes/S17010
650 24 -
-- Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
-- http://scigraph.springernature.com/things/product-market-codes/S17040
650 24 -
-- Statistics and Computing/Statistics Programs.
-- http://scigraph.springernature.com/things/product-market-codes/S12008
650 24 -
-- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
-- http://scigraph.springernature.com/things/product-market-codes/S17020
700 1# -
-- Oya, Kosuke.
-- author.
-- aut
-- http://id.loc.gov/vocabulary/relators/aut
700 1# -
-- Takimoto, Taro.
-- author.
-- aut
-- http://id.loc.gov/vocabulary/relators/aut
700 1# -
-- Kinoshita, Ryo.
-- author.
-- aut
-- http://id.loc.gov/vocabulary/relators/aut
710 2# -
-- SpringerLink (Online service)
773 0# -
-- Springer eBooks
776 08 -
-- Printed edition:
-- 9789811064357
776 08 -
-- Printed edition:
-- 9789811064371
830 #0 -
-- JSS Research Series in Statistics,
-- 2364-0057
856 40 -
-- https://doi.org/10.1007/978-981-10-6436-4
912 ## -
-- ZDB-2-SMA
950 ## -
-- Mathematics and Statistics (Springer-11649)

No items available.

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