Univariate, bivariate and multivariate statistics using R: Quantitative tools for data analysis and data scienceDaniel J.Denis2020, Hobokon, NJ, Wiley, ISBN 9781119549932, pp. xvii + 366. (7th December 2021)

Record Type:: Journal Article
Title:: Univariate, bivariate and multivariate statistics using R: Quantitative tools for data analysis and data scienceDaniel J.Denis2020, Hobokon, NJ, Wiley, ISBN 9781119549932, pp. xvii + 366. (7th December 2021)
Main Title:: Univariate, bivariate and multivariate statistics using R: Quantitative tools for data analysis and data scienceDaniel J.Denis2020, Hobokon, NJ, Wiley, ISBN 9781119549932, pp. xvii + 366
Authors:: Shalabh,
Abstract:
Is Part Of:: Journal of the Royal Statistical Society. Volume 185:Number 2(2022)
Journal:: Journal of the Royal Statistical Society
Issue:: Volume 185:Number 2(2022)
Issue Display:: Volume 185, Issue 2 (2022)
Year:: 2022
Volume:: 185
Issue:: 2
Issue Sort Value:: 2022-0185-0002-0000
Page Start:: 736
Page End:: 737
Publication Date:: 2021-12-07
Subjects:: Social sciences -- Statistical methods -- Periodicals
Statistics -- Periodicals
300.15195
Journal URLs:: http://rss.onlinelibrary.wiley.com/hub/journal/10.1111/(ISSN)1467-985X/ ↗
https://academic.oup.com/jrsssa ↗
http://onlinelibrary.wiley.com/ ↗
DOI:: 10.1111/rssa.12791 ↗
Languages:: English
ISSNs:: 0964-1998
Deposit Type:: Legaldeposit
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:: British Library DSC - 4866.000000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store
Ingest File:: 21356.xml