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Statistical Inference for Stochastic Processes (Record no. 2411)

MARC details
000 -LEADER
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001 - CONTROL NUMBER
control field 1572-9311
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260610082503.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1572-9311
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/11203.1572-9311
Source of number or code doi
210 10 - ABBREVIATED TITLE
Abbreviated title Stat Inference Stoch Process
245 10 - TITLE STATEMENT
Title Statistical Inference for Stochastic Processes
Medium [electronic resource] :
Remainder of title An International Journal devoted to Time Series Analysis and the Statistics of Continuous Time Processes and Dynamical Systems /
Statement of responsibility, etc. edited by Denis Bosq, Yury A. Kutoyants, Siegfried Hörmann, Marc Hallin, Arnaud Gloter.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Dordrecht :
Name of producer, publisher, distributor, manufacturer Springer Netherlands :
-- Imprint: Springer.
300 ## - online resource
Other physical details online resource.
520 ## - SUMMARY, ETC.
Summary, etc. Statistical Inference for Stochastic Processes aims to publish high quality papers devoted to inference in either discrete or continuous time stochastic processes. This includes topics such as ARMA processes, GARCH processes and other time series models, as well as diffusion type processes, point processes, random fields and Markov processes. Papers related to spatial models and empirical processes are also within the scope of the journal. Special focus is placed on methodological advances and sound theoretical results, but submissions that expose potential applications of the developed theory to finance, insurance, economics, biology, physics and engineering are very much encouraged. Officially cited as: Stat Inference Stoch Process .
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Probabilities.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistics .
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Probability Theory.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistical Theory and Methods.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bosq, Denis.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kutoyants, Yury A.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Hörmann, Siegfried.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Hallin, Marc.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Gloter, Arnaud.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed version:
International Standard Serial Number 1387-0874
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/11203.1572-9311">https://doi.org/10.1007/11203.1572-9311</a>
Public note Hybrid

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