Non-Stationary Stochastic Processes Estimation (Record no. 1432963)

MARC details
000 -LEADER
fixed length control field 01966nam a22002537a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250625163918.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250625b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783111325330
040 ## - CATALOGING SOURCE
Original cataloging agency CSL
Transcribing agency CSL
041 ## - LANGUAGE CODE
Source of code eng
Language code of text/sound track or separate title eng
084 ## - COLON CLASSIFICATION NUMBER
Classification number B2811 R4
Assigning agency CSL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Luz, Maksym
Relator term author.
9 (RLIN) 814629
245 ## - TITLE STATEMENT
Title Non-Stationary Stochastic Processes Estimation
Remainder of title : Vector Stationary Increments, Periodically Stationary Multi-Seasonal Increments
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Boston :
Name of publisher, distributor, etc. De Gruyter,
Date of publication, distribution, etc. 2024.
300 ## - PHYSICAL DESCRIPTION
Extent xviii, 292p.
Other physical details : ill.
Dimensions ; 24 cm.
500 ## - GENERAL NOTE
General note Includes bibliography and index.
520 ## - SUMMARY, ETC.
Summary, etc. The problem of forecasting future values of economic and physical processes, the problem of restoring lost information, cleaning signals or other data observations from noise, is magnified in an information-laden word. Methods of stochastic processes estimation depend on two main factors.The first factor is construction of a model of the process being investigated. The second factor is the available information about the structure of the process under consideration. In this book, we propose results of the investigation of the problem of mean square optimal estimation (extrapolation, interpolation, and filtering) of linear functionals depending on unobserved values of stochastic sequences and processeswith periodically stationary and long memory multiplicative seasonal increments.Formulas for calculating the mean square errors and the spectral characteristics of the optimal estimates of the functionals are derived in the case of spectral certainty, where spectral structure of the considered sequences and processes are exactly known.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Stochastic processes.
9 (RLIN) 417726
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Extrapolation
9 (RLIN) 814630
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Interpolation.
9 (RLIN) 716626
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Periodic processes.
9 (RLIN) 814631
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Moklyachuk, Mikhail
Relator term co-author.
9 (RLIN) 814632
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Colon Classification (CC)
Koha item type Textual
Classification part B2811 R4
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme 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
    Colon Classification (CC)     Central Science Library Central Science Library 2024-10-25 Shivam Book Service   B2811 R4 SL1655967 2025-06-25 2025-06-25 Textual
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