Verfügbarkeit: Applied Linear Regression for Business Analytics with R

Applied Linear Regression for Business Analytics with R: A Practical Guide to Data Science with Case Studies

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Bibliographische Detailangaben
Beteilige Person:	McGibney, Daniel P. (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 2023 Cham Springer
Ausgabe:	1st ed. 2023
Schriftenreihe:	International Series in Operations Research & Management Science 337
Schlagwörter:	Operations Research and Decision Theory Linear Models and Regression IT in Business Business Analytics Statistics and Computing Operations research Regression analysis Business information services Business—Data processing Mathematical statistics—Data processing
Links:	https://doi.org/10.1007/978-3-031-21480-6 https://doi.org/10.1007/978-3-031-21480-6 https://doi.org/10.1007/978-3-031-21480-6 https://doi.org/10.1007/978-3-031-21480-6 https://doi.org/10.1007/978-3-031-21480-6 https://doi.org/10.1007/978-3-031-21480-6 https://doi.org/10.1007/978-3-031-21480-6 https://doi.org/10.1007/978-3-031-21480-6 https://doi.org/10.1007/978-3-031-21480-6 https://doi.org/10.1007/978-3-031-21480-6 https://doi.org/10.1007/978-3-031-21480-6 https://doi.org/10.1007/978-3-031-21480-6 https://doi.org/10.1007/978-3-031-21480-6 https://doi.org/10.1007/978-3-031-21480-6 https://doi.org/10.1007/978-3-031-21480-6 https://doi.org/10.1007/978-3-031-21480-6 https://doi.org/10.1007/978-3-031-21480-6 https://doi.org/10.1007/978-3-031-21480-6 https://doi.org/10.1007/978-3-031-21480-6 https://doi.org/10.1007/978-3-031-21480-6 https://doi.org/10.1007/978-3-031-21480-6 https://doi.org/10.1007/978-3-031-21480-6 https://doi.org/10.1007/978-3-031-21480-6 https://doi.org/10.1007/978-3-031-21480-6 https://doi.org/10.1007/978-3-031-21480-6 https://doi.org/10.1007/978-3-031-21480-6 https://doi.org/10.1007/978-3-031-21480-6
Umfang:	1 Online-Ressource (XVII, 276 p. 86 illus., 53 illus. in color)
ISBN:	9783031214806
ISSN:	2214-7934
DOI:	10.1007/978-3-031-21480-6

Internformat

MARC


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id	DE-604.BV049032774
illustrated	Not Illustrated
indexdate	2025-01-11T12:58:18Z
institution	BVB
isbn	9783031214806
issn	2214-7934
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-034295435
oclc_num	1389184432
open_access_boolean
owner	DE-703 DE-573 DE-860 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-83 DE-858 DE-1046 DE-1043 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-1049 DE-859 DE-863 DE-BY-FWS DE-1051 DE-862 DE-BY-FWS DE-92 DE-824 DE-2070s DE-522 DE-M347 DE-1102 DE-706 DE-739 DE-634 DE-11
owner_facet	DE-703 DE-573 DE-860 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-83 DE-858 DE-1046 DE-1043 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-1049 DE-859 DE-863 DE-BY-FWS DE-1051 DE-862 DE-BY-FWS DE-92 DE-824 DE-2070s DE-522 DE-M347 DE-1102 DE-706 DE-739 DE-634 DE-11
physical	1 Online-Ressource (XVII, 276 p. 86 illus., 53 illus. in color)
psigel	ZDB-2-BUM ZDB-2-BUM_2023
publishDate	2023
publishDateSearch	2023
publishDateSort	2023
publisher	Springer International Publishing Springer
record_format	marc
series2	International Series in Operations Research & Management Science
spellingShingle	McGibney, Daniel P. Applied Linear Regression for Business Analytics with R A Practical Guide to Data Science with Case Studies Operations Research and Decision Theory Linear Models and Regression IT in Business Business Analytics Statistics and Computing Operations research Regression analysis Business information services Business—Data processing Mathematical statistics—Data processing
title	Applied Linear Regression for Business Analytics with R A Practical Guide to Data Science with Case Studies
title_auth	Applied Linear Regression for Business Analytics with R A Practical Guide to Data Science with Case Studies
title_exact_search	Applied Linear Regression for Business Analytics with R A Practical Guide to Data Science with Case Studies
title_full	Applied Linear Regression for Business Analytics with R A Practical Guide to Data Science with Case Studies by Daniel P. McGibney
title_fullStr	Applied Linear Regression for Business Analytics with R A Practical Guide to Data Science with Case Studies by Daniel P. McGibney
title_full_unstemmed	Applied Linear Regression for Business Analytics with R A Practical Guide to Data Science with Case Studies by Daniel P. McGibney
title_short	Applied Linear Regression for Business Analytics with R
title_sort	applied linear regression for business analytics with r a practical guide to data science with case studies
title_sub	A Practical Guide to Data Science with Case Studies
topic	Operations Research and Decision Theory Linear Models and Regression IT in Business Business Analytics Statistics and Computing Operations research Regression analysis Business information services Business—Data processing Mathematical statistics—Data processing
topic_facet	Operations Research and Decision Theory Linear Models and Regression IT in Business Business Analytics Statistics and Computing Operations research Regression analysis Business information services Business—Data processing Mathematical statistics—Data processing
url	https://doi.org/10.1007/978-3-031-21480-6
work_keys_str_mv	AT mcgibneydanielp appliedlinearregressionforbusinessanalyticswithrapracticalguidetodatasciencewithcasestudies

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