Prediction Methods for High Dimensional Data with Censored Covariates.

Prediction Methods for High Dimensional Data with Censored Covariates.

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Superior document:Linköping Studies in Arts and Sciences Series ; v.839
:
Svahn, Caroline.
Place / Publishing House:Linköping : : Linkopings Universitet,, 2022.
{copy}2022.
Year of Publication:2022
Edition:1st ed.
Language:English
Series:Linköping Studies in Arts and Sciences Series
Online Access:
Physical Description:1 online resource (42 pages)
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(OCoLC)1344541311
collection bib_alma
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spelling Svahn, Caroline.
Prediction Methods for High Dimensional Data with Censored Covariates.
1st ed.
Linköping : Linkopings Universitet, 2022.
{copy}2022.
1 online resource (42 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Linköping Studies in Arts and Sciences Series ; v.839
Intro -- Acknowledgments -- Contents -- List of Figures -- Introduction -- Regression methods -- Regression methods for censored data -- Signal strength in wireless networks -- Conclusion -- Bibliography.
Description based on publisher supplied metadata and other sources.
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Electronic books.
Print version: Svahn, Caroline Prediction Methods for High Dimensional Data with Censored Covariates Linköping : Linkopings Universitet,c2022 9789179293987
ProQuest (Firm)
Linköping Studies in Arts and Sciences Series
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=7078256 Click to View
language English
format eBook
author Svahn, Caroline.
spellingShingle Svahn, Caroline.
Prediction Methods for High Dimensional Data with Censored Covariates.
Linköping Studies in Arts and Sciences Series ;
Intro -- Acknowledgments -- Contents -- List of Figures -- Introduction -- Regression methods -- Regression methods for censored data -- Signal strength in wireless networks -- Conclusion -- Bibliography.
author_facet Svahn, Caroline.
author_variant c s cs
author_sort Svahn, Caroline.
title Prediction Methods for High Dimensional Data with Censored Covariates.
title_full Prediction Methods for High Dimensional Data with Censored Covariates.
title_fullStr Prediction Methods for High Dimensional Data with Censored Covariates.
title_full_unstemmed Prediction Methods for High Dimensional Data with Censored Covariates.
title_auth Prediction Methods for High Dimensional Data with Censored Covariates.
title_new Prediction Methods for High Dimensional Data with Censored Covariates.
title_sort prediction methods for high dimensional data with censored covariates.
series Linköping Studies in Arts and Sciences Series ;
series2 Linköping Studies in Arts and Sciences Series ;
publisher Linkopings Universitet,
publishDate 2022
physical 1 online resource (42 pages)
edition 1st ed.
contents Intro -- Acknowledgments -- Contents -- List of Figures -- Introduction -- Regression methods -- Regression methods for censored data -- Signal strength in wireless networks -- Conclusion -- Bibliography.
isbn 9789179293987
genre Electronic books.
genre_facet Electronic books.
url https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=7078256
illustrated Not Illustrated
oclc_num 1344541311
work_keys_str_mv AT svahncaroline predictionmethodsforhighdimensionaldatawithcensoredcovariates
status_str n
ids_txt_mv (MiAaPQ)5007078256
(Au-PeEL)EBL7078256
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carrierType_str_mv cr
hierarchy_parent_title Linköping Studies in Arts and Sciences Series ; v.839
is_hierarchy_title Prediction Methods for High Dimensional Data with Censored Covariates.
container_title Linköping Studies in Arts and Sciences Series ; v.839
marc_error Info : MARC8 translation shorter than ISO-8859-1, choosing MARC8. --- [ 856 : z ]
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