Foundations and Advances of Machine Learning in Official Statistics (Запис № 579759)

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001 - CONTROL NUMBER
control field 978-3-032-10004-7
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783032100047
-- 978-3-032-10004-7
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-032-10004-7
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA276.6
072 #7 - SUBJECT CATEGORY CODE
Subject category code PBT
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Subject category code MAT029000
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Subject category code PBT
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082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 001.433
Edition number 23
245 10 - TITLE STATEMENT
Title Foundations and Advances of Machine Learning in Official Statistics
Medium [electronic resource] /
Statement of responsibility, etc edited by Florian Dumpert.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2025.
264 #1 -
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-- Springer Nature Switzerland :
-- Imprint: Springer,
-- 2025.
300 ## - PHYSICAL DESCRIPTION
Extent XIX, 373 p. 1 illus.
Other physical details online resource.
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490 1# - SERIES STATEMENT
Series statement Society, Environment and Statistics,
Міжнародний стандартний серійний номер для назви серії (ISSN) 2948-2771
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction -- 1. ML in official statistics (T Augustin, AL Boulesteix - LMU Munich) -- 2. Evaluation of generalization error (B Bischl, AL Boulesteix, R Hornung, H Kümpel, S Fischer, A Bender, L Bothman, L Schneider -- LMU Munich) -- 3. ML and Design of Experiments/Sample size calculation (T Augustin - LMU Munich) -- 4. Interpretable ML (B Bischl, L Bothmann, S Dandl, G Casalicchio -- LMU Munich) -- 5. Set-valued methods for ML in official statistics (T Augustin - LMU Munich) -- 6. Ethics and Fairness (F Kreuter - at LMU Munich) -- 7. Quality aspects of ML (Y Saidani et al -- Statistical Offices in Germany) -- 8. A statistical matching pipeline (T Küntzler --- Destatis) -- 9. Legal Aspects of ML (T Fetzer - Mannheim University).
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
520 ## - SUMMARY, ETC.
Summary, etc This Open access book gives an overview of current research and developments on the incorporation of machine learning in official statistics. It covers methodological questions, practical aspects and cross-cutting issues. Machine learning has become an integral part of official statistics over the last decade. This is evident in its many applications in numerous countries and organisations. At the same time, the integration of machine learning into statistical production raises questions about the right mathematical and statistical methodology, the consideration of quality standards and the appropriate IT support. In its four sections, "Methodological aspects", "Legal, ethical, and quality aspects", "Technological aspects" and "Use cases and insights", the book highlights current developments, provides inspiration, outlines challenges and offers possible solutions. It is aimed at methodologists in statistical offices and comparable institutions as well as scientists who are concerned with the further development and responsible use of machine learning.
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650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Sampling (Statistics).
9 (RLIN) 1108
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Quantitative research.
9 (RLIN) 300
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Methodology of Data Collection and Processing.
9 (RLIN) 1112
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine Learning.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Analysis and Big Data.
9 (RLIN) 305
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistical Learning.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Dumpert, Florian.
Relator term editor.
Relator code edt
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9 (RLIN) 23416
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Corporate name or jurisdiction name as entry element SpringerLink (Online service)
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Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783032100030
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783032100054
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783032100061
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Society, Environment and Statistics,
-- 2948-2771
9 (RLIN) 23417
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-032-10004-7">https://doi.org/10.1007/978-3-032-10004-7</a>
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