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Statistical Methods for Materials Science (Record no. 3001)

MARC details
000 -LEADER
fixed length control field 01507 a2200361 4500
001 - CONTROL NUMBER
control field 0367780283
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250317100417.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250312042021xx eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780367780289
037 ## - SOURCE OF ACQUISITION
Source of stock number/acquisition Taylor & Francis
Terms of availability GBP 45.99
Form of issue BB
040 ## - CATALOGING SOURCE
Original cataloging agency 01
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
072 7# - SUBJECT CATEGORY CODE
Subject category code TGM
Source thema
072 7# - SUBJECT CATEGORY CODE
Subject category code PHFC
Source thema
072 7# - SUBJECT CATEGORY CODE
Subject category code PB
Source thema
072 7# - SUBJECT CATEGORY CODE
Subject category code TGM
Source bic
072 7# - SUBJECT CATEGORY CODE
Subject category code PHFC
Source bic
072 7# - SUBJECT CATEGORY CODE
Subject category code PB
Source bic
072 7# - SUBJECT CATEGORY CODE
Subject category code SCI077000
Source bisac
072 7# - SUBJECT CATEGORY CODE
Subject category code MAT029000
Source bisac
072 7# - SUBJECT CATEGORY CODE
Subject category code SCI055000
Source bisac
072 7# - SUBJECT CATEGORY CODE
Subject category code TEC021000
Source bisac
072 7# - SUBJECT CATEGORY CODE
Subject category code 620.110727
Source bisac
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Jeffrey P. Simmons
245 10 - TITLE STATEMENT
Title Statistical Methods for Materials Science
Remainder of title The Data Science of Microstructure Characterization
250 ## - EDITION STATEMENT
Edition statement 1
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. CRC Press
Date of publication, distribution, etc. 20210331
300 ## - PHYSICAL DESCRIPTION
Extent 514 p
520 ## - SUMMARY, ETC.
Expansion of summary note Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for researchers in materials science to understand how to analyze large datasets using statistical methods, especially inverse methods applied to microstructure characterization. It contains valuable guidance on essential topics such as denoising and data modeling. Additionally, the analysis and applications section addresses compressed sensing methods, stochastic models, extreme estimation, and approaches to pattern detection.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Lawrence F. Drummy
Relationship B01
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Charles A. Bouman
Relationship B01
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Marc De Graef
Relationship B01

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